Change search
Refine search result
12 1 - 50 of 56
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Ataei, Mohammad A.
    et al.
    Shahrood University of Technology, Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Mikaeil, Reza
    Department of Mining and Metallurgy Engineering, Urmia University of Technology, Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technolog.
    Hoseinie, Hadi
    Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technolog.
    Hosseini, Seyed Mehdi
    Department of Mining, Shahrood Branch, Islamic Azad University, Shahrood.
    Fuzzy analytical hierarchy process approach for ranking the sawability of carbonate rock2012In: International Journal of Rock Mechanics And Mining Sciences, ISSN 1365-1609, E-ISSN 1873-4545, Vol. 50, p. 83-93Article in journal (Refereed)
    Abstract [en]

    A new classification system is presented to evaluate and ranking the sawability of carbonate rock. The sawability of carbonate rock is classified into five categories: excellent, good, fair, poor and very poor. The sawability is assumed to depend on the uniaxial compressive strength, Young's modulus, Mohs hardness, and a new abrasivity index. The FAHP approach is used to determine the weights of the above-mentioned parameters by decision makers. Moreover, in this paper, a new classification system was developed to modify Schimazek's F-abrasiveness factor. In this new abrasivity classification, each parameter has a different importance coefficient. The new abrasivity index of carbonate rocks can be obtained from this new abrasivity classification system. The calculated sawability index of developed classification is applied for Iranian carbonate rocks to evaluation the energy consumption in rock sawing process. A variety of two groups of carbonate rocks (seven types) were saw using a fully instrumented laboratory sawing rig at different feed rates, peripheral speeds, and depth of cut. Then, a new statistical model was obtained using multiple regression method based on operating parameters and rock sawability index

  • 2.
    Delghandi, Sayed Hamed
    et al.
    Tarbiat Modares University.
    Sayadi, Ahmad Reza
    Tarbiat Modares University.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability analysis of the loading system of hydraulic excavator2014Conference paper (Refereed)
    Abstract [en]

    Hydraulic excavators are widely used in mining and construction. They have an important role in mine loading cycle. These machines have three major parts: work equipment, upper structure and lower structure. The work equipment that is for digging and loading includes boom, arm and bucket. Because of the operation of the work equipment, it has got more failures in comparison with other parts. In this paper reliability modeling of work equipment according to the method of analytic solution of the proposed model has been made. After estimating of model parameters, system failure rate has been calculated and failure behavior is assessed. The reliability of work equipment system reduces to 80% after 30 hours of operation and it reach zero after about 360 hours. The failure rate increases at a decreasing rate and after 360 hours it will be at a rate of 0.021.

  • 3.
    Gheibie, Sohrab
    et al.
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz.
    Aghababaei, H.
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz.
    Hoseinie, Hadi
    Faculty of Mining Engineering, Geophysics and Petroleum, Shahrood University of Technology.
    Pourrahimian, Yashar
    Department of Civil and Environmental Engineering, University of Alberta, Edmonton.
    Kuznetsov model's efficiency in estimation of mean fragment size at the Sungun Copper Mine2010In: Rock fragmentation by blasting: proceedings of the 9th International Symposium on Rock Fragmentation by Blasting - Fragblast 9, September 2009, Granada, Spain / [ed] Jose A Sanchidrián, Boca Raton, Fla: CRC Press, 2010, p. 265-269Conference paper (Refereed)
    Abstract [en]

    Kuznetsov's Model is a commonly used equation for estimation of mean fragment size. This model is a function of three factors; rock mass properties, blast geometry and type of explosive. To evaluate the Kuznetsov model, ten blast sites were studied in the Sungun Copper Mine, Iran. The same explosive, ANFO, was used for all blast and the blasthole geometry was the same in all cases. The Kuznetsov model underestimates the measured mean fragment size in all cases. Since the blast geometry and the explosive were the same for all blasts, it can be concluded that the differences arise from an incomplete description of rock mass properties inherent in the rock factor in the Kuznetsov model. Modifying the multiplier 0.073 instead of the usual 0.06 resolves the problem

  • 4.
    Gheibie, Sohrab
    et al.
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz.
    Aghababaei, H.
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz.
    Hoseinie, Hadi
    Faculty of Mining Engineering, Geophysics and Petroleum, Shahrood University of Technology.
    Pourrahimian, Yashar
    Department of Civil and Environmental Engineering, University of Alberta, Edmonton.
    Modified Kuz-Ram fragmentation model and its use at the Sungun Copper Mine2009In: International Journal of Rock Mechanics And Mining Sciences, ISSN 1365-1609, E-ISSN 1873-4545, Vol. 46, no 6, p. 967-973Article in journal (Refereed)
    Abstract [en]

    Rock fragmentation, which is the fragment size distribution of blasted rock, is one of the most important indices for estimating the effectiveness of blast work. In this paper a new form of the Kuz-Ram model is proposed in which a prefactor of 0.073 is included in the formula for prediction of X50. This new equation has a correlation coefficient that is greater than 0.98. In addition, a new approach is proposed to calculate the Uniformity Index, n. A Blastability Index (BI) is used to correct the calculation of the Uniformity Index of Cunningham, where BI reflects the uniformity of the distribution. Interestingly, this correction also can be observed in the Kuznetsov-Cunningham-Ouchterlony (KCO) model, which uses In situ block size as a parameter for calculating the curve-undulation in the Swebrec function. However, it is in contrast to prediction of X50 as the central parameter in Swebrec and Rosin-Rammler distribution functions. The new model is a two parameter fragmentation size distribution that can be easily determined in the field. However, it does not consider the timing effect, or upper limit for sizes, as does the original Kuz-Ram model. The model is used at the Sungun Mine, and it does a good job of predicting the fines produced during blasting

  • 5.
    Ghodrati, Behzad
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Famurewa, Stephen Mayowa
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Railway switches and crossings reliability analysis2016In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management, 2016, Vol. 2016-December, p. 1412-1416, article id 7798110Conference paper (Refereed)
    Abstract [en]

    Switches and crossings (S&Cs) connect the rail network, guiding trains from one track to another and supporting path crossing. They are critical systems given the frequency of their functional failure and the consequences on the operation, cost and safety of railway transportation. Reliability studies are required to support the transport objective of providing dependable, sustainable and cost effective transportation. The main objective of this study is to assess the reliability characteristics of S&Cs based on field data collection. As field failure data have censored nature, commercial packages have not been satisfactory for processing them; therefore, the study uses a special statistical software package RDAT® (Reliability Data Analysis Tool). The availability of the studied switches and crossings is estimated based on the estimated reliability characteristics. The results show the availability of the S&Cs varies between x and y. This is useful information, as it helps the contractor plan and schedule maintenance. It also helps the asset owner to identify units whose performance is below the desired target and to make replacement decisions.

  • 6.
    Ghodrati, Behzad
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hamodi, Hussan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Environmental friendly manufacturing and support: Issues and challenges2015Conference paper (Refereed)
    Abstract [en]

    Environmentally Conscious Manufacturing and Product Support (ECMPS) is animportant issue driven by concern for the escalating deterioration of the environment.ECMPS involves integrating environmental thinking into the design of a product, theselection of materials, manufacturing processes, delivery and support to consumers, andend-of-life management of the product after its useful life has ended. Both academia andindustry are interested in finding solutions in this newly emerging research area. Relatedresearch is on pollution prevention, remanufacturing, disassembly, life cycle of products,after sale support and material recovery. The aim of this study is emphasizing the productdesign, operation, maintenance and disassembly effects on environment, and how theseissues can be considered in manufacturing phase to minimize the negative environmentalimpact.

  • 7.
    Ghodrati, Behzad
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Garmabaki, Amir
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability considerations in automated mining systems2015In: International Journal of Mining, Reclamation and Environment, ISSN 1748-0930, E-ISSN 1748-0949, Vol. 29, no 5, p. 404-418Article in journal (Refereed)
    Abstract [en]

    Automation is the operation of machinery or processes by devices, such as robots and machines, able to make and execute decisions without human intervention. Automation is one of the most attractive research and development areas in mining, as it aims to solve many technical, production and safety problems in current and future mining. This paper studies the structure of automated mining systems from a reliability and failure occurrence perspective. It reviews the main subsystems and related failure modes. Based on field investigation and a literature review, it highlights some critical issues and technical difficulties. Finally, it presents some challenges for future automated mines and offers some related solutions

  • 8.
    Ghodrati, Behzad
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Context-driven mean residual life estimation of mining machinery2018In: International Journal of Surface Mining, Reclamation and Environment, ISSN 1389-5265, p. 486-494Article in journal (Refereed)
    Abstract [en]

    Maintenance is crucial to ensure production/output and customer satisfaction in the mining sector. The cost of maintenance of mechanised and automated mining systems is very high, necessitating efforts to enhance the effectiveness of maintenance systems and organisation. For effective maintenance planning, it is important to have a good understanding of the reliability and availability characteristics of the systems. Determining the Mean Residual Life (MRL) of systems allows organisations to more effectively plan maintenance tasks. In this paper, we use a statistical approach to estimate MRL and consider a Weibull proportional hazard model (PHM) with time-independent covariates to model the hazard function so that the operating environment could be integrated into the reliability analysis. The paper explains our methods for calculating the conditional reliability function and computing the MRL as a function of the current conditions. The model is verified and validated using data from the hydraulic system of LHD equipment in a Swedish mine. The results are useful to estimate the remaining useful life of such systems; the method can be used for maintenance planning, helping to control unplanned stoppages of highly mechanised and automated systems.

  • 9.
    Ghodrati, Behzad
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Hamedan University of Technology.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Lean mining2016In: The Routledge companion to lean management / [ed] Torbjørn H Netland; Daryl J Powell, New York: Routledge, 2016, p. 302-310Chapter in book (Refereed)
  • 10.
    Hamodi, Hussan
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Lundberg, Jan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Monte Carlo Reliability Simulation of Underground Drilling Rigs2015Conference paper (Refereed)
  • 11.
    Hamodi, Hussan
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Lundberg, Jan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Monte Carlo Reliability Simulation of Underground Mining Drilling Rig2016In: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective / [ed] Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde, Encyclopedia of Global Archaeology/Springer Verlag, 2016, p. 633-643Conference paper (Refereed)
    Abstract [en]

    Drilling rigs are widely used in mine development or construction and tunnel engineering projects. The rig consists of 12 subsystems in a series configuration and can be driven by diesel or electrical engines. This paper uses the Kamat-Riley (K-R) event-based Monte Carlo simulation method to perform reliability analysis of an underground mine drilling rig. For data analysis and to increase statistical accuracy, the paper discusses three case studies in an underground mine in Sweden. Researchers built a process to programme the simulation process and used MATLABTM software to run simulations. The results showed the simulation approach is applicable to the reliability analysis of this rig. Moreover, the reliability of all rigs reaches almost zero value after 50 h of operation. Finally, the differences between the reliability of the studied fleet of drilling rigs are a maximum 10 %. Therefore, all maintenance or spare part planning issues can be managed in a similar way

  • 12.
    Hoseinie, Hadi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Faculty of Mining Engineering and Geophysics, Shahrood University of Technology.
    Aghababaei, H.
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz.
    Pourrahimian, Y.
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz.
    Development of a new classification system for assessing of rock mass drillability index (RDi)2008In: International Journal of Rock Mechanics And Mining Sciences, ISSN 1365-1609, E-ISSN 1873-4545, Vol. 45, no 1, p. 1-10Article in journal (Refereed)
    Abstract [en]

    The drilling process and its results are affected by various parameters of the rock material and rock mass. The effects of rock material have been emphasized in various studies; however lack of perfect knowledge of rock mass structural parameters may lead to unpredictable results. This paper presents a new classification system for specifying the rock mass drillability index (RDi). For this purpose, six parameters of the rock mass, including texture and grain size, Mohs hardness, uniaxial compressive strength (UCS), joint spacing, joint filling (aperture) and joint dipping have been investigated by physical modeling and rated. Physical modeling in particular has been used for investigating the effects of joint characteristics on drilling rate. In the proposed RDi system, each rock mass is assigned a rating from 7 to 100, with a higher rating corresponding greater ease of drilling. Based on the RDi rating, the drilling rate may be classified into five modes: slow, slow-medium, medium, medium-fast, and fast.

  • 13.
    Hoseinie, Hadi
    et al.
    Hamedan University of Technology.
    Ahmadi, Alireza
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability-centered maintenance for spray jets of coal shearer machine2013In: International Journal of Reliability, Quality and Safety Engineering (IJRQSE), ISSN 0218-5393, Vol. 20, no 3Article in journal (Refereed)
    Abstract [en]

    Spray jets constitute one of the most important parts of each type of rock cutting machine, especially the drum shearer. This system cools the cutting picks and controls the dust emission. The blockage of spray jets causes the coal shearer machine to stop automatically. Therefore, the reliable performance of this system assists the achievement of a smooth coal cutting operation. Field's data shows that the maintenance of this system is time-consuming and causes major downtimes in the production process. Therefore, it is essential to find an optimum preventive maintenance task and intervals, to reduce the downtime and minimize the associated costs of the machine. The aim of this paper is to identify an applicable and effective maintenance task, with its associated interval, for management of the failure modes of the spray jets of coal shearers. A case study has been conducted on spray jets of double-drum shearer machine in Tabas Coal Mine in Iran. In the study, the RCM approach is used to select an applicable and effective maintenance task. The failure data were analyzed using a parametric approach to evaluate the reliability of the spray jets, and to estimate the reliability parameters. A reliability-based cost modeling has been implemented to identify the optimum maintenance interval and frequencies of restoration for the spray jets. In the study, a cost rate function (CRF) has been introduced in which an as-good-as-new (AGAN) effectiveness for restoration actions is considered. The CRF also considers restoration and repair times, and takes into account the costs associated with repair and restoration, and the opportunity cost of the equipment's lost production due to maintenance downtime, to arrive at the most cost-effective maintenance intervals. The results of the analysis have shown that the minimum cost per unit of time, $46.5/h, will be achieved within a range of intervals i.e., T = 210 h to T = 260 h.

  • 14.
    Hoseinie, Hadi
    et al.
    Shahrood University of Technology, Mining Engineering Department.
    Ataei, Masoud
    Shahrood University of Technology, Mining Engineering Department.
    A review of machine parameters influencing the drilling rate in mines2007Conference paper (Refereed)
    Abstract [en]

    Drilling rate is one of the main determinants of drilling cost. The performance of any drill bit is affected by the complex interaction of numerous factors. The principal factors that require consideration in predicting drilling rate, particularly for mining application, are the characteristics of the rock and the operating parameters of drilling machine. In this paper, the most important operating parameters of drilling machine were reviewed using many basic studies on drilling rate and dillability since 1956. The result demonstrates that, rotational speed, weight on bit, flushing pressure and bit diameter are the most effective parameters that influencing the drilling rate in mines.

  • 15.
    Hoseinie, Hadi
    et al.
    Faculty of Mining Engineering, Hamedan University of Technology.
    Ataei, Mohammad
    Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Khalokakaie, Reza
    Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability analysis of drum shearer machine at mechanized longwall mines2012In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 18, no 1, p. 98-119Article in journal (Refereed)
    Abstract [en]

    Purpose - Longwall mining is a special mining method with high productivity and smooth operation and the drum shearer is known as the most important component in longwall mines due to its direct role in the coal cutting and production process. Therefore, its reliability is important in keeping the mine production at a desired level. Hence, reliability analysis is essential in identifying and removing existing problems of this machine in order to achieve a better production condition. This paper seeks to learn about the reliability of the shearer machine in order to locate critical subsystems. The improvement of the reliability of the critical subsystems, to enhance the optimum operation of the shearer machine, is the main objective of this research. Design/methodology/approach - A basic methodology was used in this paper for the reliability modeling of the shearer machine. First, failure and performance data from a two-year period at the Tabas Coal Mine-Iran was classified and sorted. The tests for validating the assumption of independent and identical distribution (iid) of TBF data are done and the best modeling method for each subsystem was selected among the renewal process, homogeneous Poisson process and non-homogeneous Poisson process. Finally, the reliability of subsystems and the machine were assessed. Findings - The study revealed that six important subsystems of the shearer machine are; water system, haulage, electrical system, hydraulic system, cutting arms, and cable system. Pareto analysis shows that the 30 percent of failures and stoppages of the shearer were related to the water system and this system is the most critical subsystem of the machine. The failure rate analysis shows that the failure rates of the hydraulic, haulage and electrical systems were decreasing, meanwhile, the failure rates of the water system, cutting arms and cable system were increasing. The reliability of drum shearer reaches the zero value after 100 hours. Originality/value - This paper, for the first time, defines a practical set of subsystems for the coal shearer based on field data and machine design

  • 16.
    Hoseinie, Hadi
    et al.
    Faculty of Mining Engineering, Geophysics and Petroleum, Shahrood University of Technology.
    Ataei, Mohammad A.
    Shahrood University of Technology, Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Application of p-wave velocity for prediction of strength properties of rocks2013In: 8th International Scientific Conference on Modern Management of Mine Producing, Geology and Environmental Protection (SGEM 2008): Albena, Bulgaria, 16 - 20 June 2008, Red Hook: Curran Associates, Inc., 2013, Vol. 1, p. 365-368Conference paper (Refereed)
    Abstract [en]

    In this paper, the relationship between p-wave velocity and the most important strength properties of rock material has been studied. During this research eight various types of rocks from north-west of Iran have been tested view pointed of uniaxial compression strength (UCS), tensile strength (Brazilian test) and elastic modulus. Regression analyses between above parameters and p-wave velocity reveals that there is a mathematical relationship with exponential equation (R2= 0.8597) between p-wave velocity and uniaxial compression strength of tested rocks. Also, the obtained results show that with increasing of p-wave velocity the tensile strength (Brazilian test) of samples increases exponentially (R2= 0.8613) and the elastic modulus increases logarithmically (R2= 0.9231).

  • 17.
    Hoseinie, Hadi
    et al.
    Department of Mining Engineering, Hamedan University of Technology.
    Ataei, Mohammad A.
    Shahrood University of Technology, Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Mikaiel, Reza
    Department of Mining and Metallurgy Engineering, Urmia University of Technology.
    Comparison of Some Rock Hardness Scales Applied in Drillability Studies2012In: The Arabian Journal for Science and Engineering, ISSN 1319-8025, Vol. 37, no 5, p. 1451-1458Article in journal (Refereed)
    Abstract [en]

    In this paper, the influence of hardness of rock material on drilling rate has been studied. During the research, eight various rock types were subjected to drilling and hardness tests such as; Mohs hardness, Indentation Hardness Index (IHI) and L-type Schmidt hammer. Mean Mohs hardness of each rock was calculated based on the hardness of contained minerals and other two scales are carried out based on ISRM standards. For drilling studies, rock samples have been drilled using actual pneumatics top hammer drilling machine with three inches diameter cross type bit. Regression analyses between mean Mohs hardness and the drilling rate reveal that in soft rocks, with increase in hardness, drilling rate decreases logarithmically but in hard rocks, with increase in hardness, drilling rate decreases linearly. In total, with increase in Mohs hardness, drilling rate decreases exponentially. Also, with increase in Indentation Hardness Index and Schmidt hammer value, drilling rate decreases logarithmically. The regression analyses showed that Indentation Hardness Index has the best and stronger relationship with the rate of percussive drilling

  • 18.
    Hoseinie, Hadi
    et al.
    School of Mining Engineering, Petroleum and Geophysics, Shahrood University of Technology.
    Ataei, Mohammad A.
    Shahrood University of Technology, Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology, School of Mining Engineering, Petroleum and Geophysics, Shahrood University of Technology.
    Osanloo, Morteza
    Faculty of Mining Engineering and Metallurgy, Amirkabir University of Technology, Tehran.
    A new classification system for evaluating rock penetrability2009In: International Journal of Rock Mechanics And Mining Sciences, ISSN 1365-1609, E-ISSN 1873-4545, Vol. 46, no 8, p. 1329-1340Article in journal (Refereed)
    Abstract [en]

    This paper presents a new classification system called the Rock Penetrability index (RPi). An evaluation model based on the fuzzy Delphi analytic hierarchy process (FDAHP) has been used for estimation of penetrability and drillability of rocks. For this purpose, five parameters of the rock material, including uniaxial compressive strength, Schimazek's F-abrasivity, mean Moh's hardness, texture and grain size and Young's modulus have been investigated and rated. In the RPi system, a number from 10.25 to 100 can be assigned to each rock, with higher values corresponding to greater ease of drilling and penetration into rock. Based on the RPi classification, rocks are classified into five modes from the view point of penetrability: very poor, poor, medium, good and very good

  • 19.
    Hoseinie, Hadi
    et al.
    Faculty of Mining Engineering and Geophysics, Shahrood University of Technology.
    Ataei, Mohammad
    Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology, .
    Aghababaei, H.
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz.
    Pourrahimian, Yashar
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz.
    RDi: A new method for evaluating of rock mass drillability2007In: Proceedings of the 1st Canada-US Rock Mechanics Symposium: Rock Mechanics Meeting Society's Challenges and Demands / [ed] Eberhardt, E; Stead, D; Morrison, T, 2007, Vol. 1, p. 207-214Conference paper (Refereed)
    Abstract [en]

    In open pit mining drilling, like the other stages of mining, has a close relationship with the rock mass. The drilling process and its results are affected by various parameters of the rock material and rock mass. The effects of rock materials have been emphasized in various studies, however a lack of perfect knowledge of rock mass structural parameters may lead to unpredictable results. This paper presents a new classification system for specifying Rockmass Drillability index (RDi). For this purpose, six parameters of rock mass, including texture and grain size, hardness, uniaxial compressive strength (UCS), joint spacing, joint filling (aperture) and joint dip, have been investigated by physical modelling and rated. In this system, for each rock mass a rating from 7 to 100 is assigned. A higher rating represents a good-quality rock mass from the view point of drilling. Finally, considering the RDi rating, the drilling rate may be predicted at one of five modes; slow, slow-medium, medium, medium-fast and fast.

  • 20.
    Hoseinie, Hadi
    et al.
    Shahrood University of Technology.
    Ataei, Mohammad
    Shahrood University of Technology.
    Khalokakaie, Reza
    Shahrood University of Technology.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability analysis of cable system of drum shearer using power law process model2012In: International Journal of Mining, Reclamation and Environment, ISSN 1748-0930, E-ISSN 1748-0949, Vol. 26, no 4, p. 309-323Article in journal (Refereed)
    Abstract [en]

    In this article, the reliability of the cable system of a drum shearer machine was studied and analysed using operation and maintenance data from an Iranian mine for a period of two years. The tests for trend and serial correlation show that the times between successive failures for the cable system are not independent and identically distributed. A goodness-of-fit test shows that the power law process model provides a good fit to the failure data of this system. After parameter estimation for the power law model, reliability and failure rate plots were obtained. Based on analysis and results, a period of 125 h was defined as the reliability-based maintenance interval for the cable system of the shearer. The analysis shows that, by using this strategy, the reliability of the system will improve by at least 50%.

  • 21.
    Hoseinie, Hadi
    et al.
    Shahrood University of Technology.
    Ataei, Mohammad
    Shahrood University of Technology.
    Khalokakaie, Reza
    Shahrood University of Technology.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability modeling of water system of longwall shearer machine2011In: Archives of Mining Sciences, ISSN 0860-7001, E-ISSN 1689-0469, Vol. 56, no 2, p. 291-302Article in journal (Refereed)
    Abstract [en]

    In cutting machines of mining and construction works, water system has an important and critical role. Due to many aspects and reasons, these machines can not work without water. In longwall mining, the drum shearer performance is highly related to its water system. Any problem in water system of shearer leads the machine to stop automatically; therefore, the reliability of this system is very important in reliability of shearer. In this study, for modeling this system, three subsystems in series network were considered; filters, spray jets and hoses & valves. Then, the field data of water system of drum shearer of Tabas Coal Mine has been collected and analyzed using statistical modeling technique. The results showed that filters subsystem has the highest reliability importance among the subsystems and is defined as the most critical subsystem. In addition, the filters, spray jets and hoses reach the reliability of 80% respectively after about 8.5, 23 and 87 hours.

  • 22.
    Hoseinie, Hadi
    et al.
    Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Ataie, Mohammad
    Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Khalookakaei, Reza
    Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability modeling of hydraulic system of drum shearer machine2011In: Journal of Coal Science and Engineering (China), ISSN 1006-9097, E-ISSN 1866-6566, Vol. 17, no 4, p. 450-456Article in journal (Refereed)
    Abstract [en]

    The hydraulic system plays an important role in supplying power and its transition to other working parts of a coal shearer machine. In this paper, the reliability of the hydraulic system of a drum shearer was analyzed. A case study was done in the Tabas Coal Mine in Iran for failure data collection. The results of the statistical analysis show that the time between failures (TBF) data of this system followed the 3-parameters Weibull distribution. There is about a 54% chance that the hydraulic system of the drum shearer will not fail for the first 50 h of operation. The developed model shows that the reliability of the hydraulic system reduces to a zero value after approximately 1 650 hours of operation. The failure rate of this system decreases when time increases. Therefore, corrective maintenance (run-to-failure) was selected as the best maintenance strategy for it

  • 23.
    Hoseinie, Hadi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Galar, Diego
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Juuso, Esko
    University of Oulu, Control Engineering Group, Faculty of Technology, University of Oulu.
    Optimal Preventive Maintenance Planning for Water Spray System of Drum Shearer2015Article in journal (Refereed)
    Abstract [en]

    Water spray system is one of the most important parts of rock cutting machines, especially the drum shearer. Field data shows that the maintenance of this system is time-consuming and causes major downtimes in the coal mines’ production process. Therefore, it is essential to find an optimum preventive maintenance task and intervals, to reduce the downtime and minimize the associated costs of the machine. In this paper, in order to suggest an optimum preventive maintenance plan, a parametric failure and reliability analysis was done on available data from an Iranian longwall coal mine over the two years. A reliability-based cost modelling was implemented to identify the optimum maintenance interval and frequencies of restoration for the water spray system. In the study, a cost rate function was introduced in which an as-good-as-new effectiveness for restoration actions is considered. The results of the analysis showed that the minimum maintenance cost per unit of time for the studied machine, $19.54/hour, will be achieved within a range of intervals i.e. T=136 hours to T=142 hours.

  • 24.
    Hoseinie, Hadi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hosseini, A.
    Iran Minerals Production and Supply Co., Tabas Parvadeh Coal Company, Tabas.
    Availability analysis of drum shearer machine;: A Case Study2015In: Proceedings of the 24th International Mining Congress of Turkey, IMCET 2015: Antalya, Turkey, 14- 17 April 2015 / [ed] M. Karadeniz, TMMOB Maden Muhendisleri Odasi , 2015, p. 913-918Conference paper (Refereed)
    Abstract [en]

    Drum shearer plays an important role in the face production in longwall coal mines. Therefore, monitoring of this machine can lead the whole extraction operation to high level of productivity and safety. Availability is one of the most important measures for evaluation of the mining machineries. High availability of equipment can be helpful in satisfying the desired production goals. In this article the availability of drum shearer in an Iranian coal mine has been studied. For this purpose, the failure and maintenance data for a period of two years have been used. After data sorting and analysis, the inherent availability, achieved and operational availability of this machine have been calculated. The results show that the studied shearer machine performs in high level of availability. Nevertheless, the logistics delay time and administrative delays with the share of 25% of whole downtimes are so important influencing factors which should be controlled and planned to minimize it.

  • 25.
    Hoseinie, Hadi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Assessment of Reliability-Related Measures for Drum Shearer Machine: a Case Study2014Conference paper (Refereed)
    Abstract [en]

    Longwall mining is one of the most continuous and productive mining methods. Efficiency of this method is directly affected by the involved machineries and systems. The drum shearer plays an important role in the face productivity and the mine life. Therefore, monitoring of this machine can lead the whole extraction operation to a high level of production and safety. There are several reliability-related measures for evaluation of the mining equipment. Availability, utilization, production efficiency and overall production effectiveness are the most important measure which can help us in this way. In this paper, the production and failure data of a drum shearer machine in Parvade coal mine in Iran have been collected from whole of one longwall panel during a two-year period. The mentioned reliability-related measures have been calculated based on the total uptime and downtime of the machine. The results showed that, the studied drum shearer is in good availability level. However, it has average production efficiency, very low utilization and very low overall equipment effectiveness. Also, high waiting and idling time raises from other machineries during the extraction process, was recognized as the main reason for the current low productivity of shearer machine in mine.

  • 26.
    Hoseinie, Hadi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Cost-effective maintenance scheduling of cutting arms of drum shearer machine2014In: International Journal of Mining, Reclamation and Environment, ISSN 1748-0930, E-ISSN 1748-0949, Vol. 28, no 5, p. 297-310Article in journal (Refereed)
    Abstract [en]

    Cutting arms are the main productive units of coal shearer machine that contact directly with coal seam. More importantly, the cutting arms operate under a high-stressed environment. In this paper, in order to suggest an optimum maintenance plan for the subsystem of shearer machine, firstly, we conducted a failure and reliability analysis using the data acquired from the Parvade coal mine, Iran over the two years. The analysis shows that the Power Law Process model provides a good fit to the failure data. Also, we applied estimated distribution functions and calculated cost parameters to identify the cost-based optimum preventive maintenance interval. Furthermore, we conducted a sensitivity analysis of the studied machine and identified that if we consider the variation of the world price of the raw coal then the maintenance plan is sensitive to the price. The analysis showed that, big changes in world price of raw coal are not so effective on maintenance plan but have a considerable effect on maintenance costs of the cutting arms of the shearer machine. However, the effects of this change on reliability improvement are almost zero.

  • 27.
    Hoseinie, Hadi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Maintenance planning for drum shearer machine based on its reliability characteristics and economical sensitivity analysis2015In: Safety and Reliability: Methodology and Applications / [ed] Tomasz Nowakowski; Marek Mlynczak; Anna Jodejko-Pietruczuk ; Sylwia Werbinska-Wojciechowska, London: CRC Press, 2015, p. 1257-1262Conference paper (Refereed)
    Abstract [en]

    Cutting arms are the main productive units of coal shearer machine that contact directly with coal seam. More importantly, the cutting arms operate under a high stress environment. In this paper, in order to suggest an optimum maintenance plan for the subsystem of shearer machine, firstly, we conducted a failure and reliability analysis using the data acquired from the Parvadeh coal mine Iran over the last two years. In doing so, we applied estimated distribution functions and calculated cost parameters to identify the cost-based optimum preventive maintenance interval. The analysis shows that the Power Law Process model provides a good fit to the failure data. Accordingly, the preventive maintenance operation can improve the reliability of the system by 53.5%. Furthermore, we conducted a sensitivity analysis of the studied machine and identified that if we consider the variation of the world price of the raw coal then the maintenance plan is sensitive to the price, however the effects of this change on reliability improvement is almost zero

  • 28.
    Hoseinie, Hadi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Monte Carlo reliaility simulation of water system of longwall shearer machine2013In: International Journal of Reliability, Quality and Safety Engineering (IJRQSE), ISSN 0218-5393, Vol. 20, no 6, article id 1350023Article in journal (Refereed)
    Abstract [en]

    The water system of coal shearer machine consists of three main subsystems namely spray jets, water & hoses, and filters which are connected and working in series configuration. In this paper the Kamat-Riley Monte Carlo simulation method was used for reliability analysis of the considered system. The studied data was collected from an Iranian longwall coal mine for analysis. The MATLAB software was used for simulation and then reliability plot of water system in shearer machine was determined. The results show that the reliability of shearer machine reduces to almost zero in a period of 300h. Comparison between the results of analytical method and simulated reliability plot presents that for analyzed data set, in high reliability levels (28%≤), the simulation approach estimates the higher reliability than analytical method. The maximum difference between the results of analytical and simulation methods is 23%. However, in low reliability levels (≤28%) there is no remarkable difference between the methods.

  • 29.
    Hoseinie, Hadi
    et al.
    Hamedan University of Technology.
    Khalokakaie, Reza
    Shahrood University of Technology, Petroleum and Geophysics Department.
    Ataei, Mohammad A.
    Shahrood University of Technology, Petroleum and Geophysics Department.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Monte Carlo reliability simulation of coal shearer machine2013In: International Journal of Pedagogy, Innovation and New Technologies, ISSN 0973-1318, E-ISSN 2392-0092, Vol. 9, no 5, p. 487-494Article in journal (Refereed)
    Abstract [en]

    In this paper the Kamat-Riley (K-R) event-based Monte Carlo simulation method was used for reliability analysis of longwall shearer machine. Shearer machine consists of six subsystems; water, haulage, electrical, hydraulic, cutting arms and cable systems in a series network configuration. A shearer in the Tabas coal mine was selected as case study and its all failure data were collected and used for reliability analysis of subsystems. With negligible assumption of time to repair, a flowchart was built for programming the simulation process. The Matlab mathematical programming software was used for reliability simulation process. Finally the reliability plot of longwall shearer machine was achieved and upper and lower bound reliability were calculated. The results illustrate that the reliability of shearer machine reduces to zero in a period of 100h. There is a 50% chance that the shearer will not fail for the first 12h of operation.

  • 30.
    Hoseinie, Hadi
    et al.
    Shahrood University of Technology.
    Khalokakaie, Reza
    Shahrood University of Technology.
    Ataei, Mohammad
    Shahrood University of Technology.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability-based maintenance scheduling of haulage system of drum shearer2011In: International Journal of Mining and Mineral Engineering, ISSN 1754-890X, E-ISSN 1754-8918, Vol. 3, no 1, p. 26-37Article in journal (Refereed)
    Abstract [en]

    Drum shearer is the most important component of production chain in longwall mining. This machine is driven along the face by a powerful haulage system. In this paper, the reliability of haulage system of shearer has been analysed. The result showed that Time Between Failures (TBF) data of this system obeys the three-parameter Weibull distribution. On the basis of the achieved reliability model, the Preventive Maintenance (PM) scheduling has been suggested for different reliability levels. The reliability-based maintenance intervals for 90, 80, 70 and 50% reliability are 19.4, 35, 49 and 96.8 h, respectively. If 35 h are considered as the PM intervals, mean TBF will be increased by 16.2%.

  • 31. Hoseinie, Hadi
    et al.
    Pourrahimian, Yashar
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz.
    Aghababaei, H.
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz.
    Physical modeling of joints spacing effects on penetration rate of rotary drilling in open pit mines2007In: Proceedings of the 20th International Mining Congress and Exhibition of Turkey, IMCET 2007, Chamber of Mining Engineers of Turkey , 2007, p. 259-263Conference paper (Refereed)
    Abstract [en]

    Drilling is one of the most expensive stages of open pit mining and has many complexities. In drilling process, many parameters interact simultaneously each other, where studying each parameter requires recognition of the effects of other characteristics of rock mass and its material. In this paper, the main aim has been directed to investigate the effects of joint spacing among the structural parameters of rock mass. For this purpose, in order to study the condition of drilling in jointed rocks with different spacings, jointed rock masses with spacing of 10, 20, 30, 50 and 100 centimeters physically were modeled in laboratory by using cemented blocks. Penetration rate of cross bit has been measured by using rotary drilling system. According to the numerical results obtained from experiments, by increasing of joints spacing, penetration rate (m/min) of drill bit in jointed rock masses increases logarithmically

  • 32.
    Hoseinie, Seyed Hadi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability Centered Maintenance (RCM) for Automated Mining Machinery2016Report (Other academic)
    Abstract [en]

    Reliability centered maintenance (RCM) was initiated on 1960s in Boeing company to optimize the maintenance process of aircrafts. Since that date, this method has been applied in wide range of industries and has provided a completely positive results and recommendations for implementation in other industries. RCM is a systematic approach to quantitatively assess and optimize the performance of preventive maintenance tasks and to eliminate non-value adding maintenance actions. It provides considerable cost savings due to optimum maintenance effort, increased safety and productivity. This research considers the feasibility of applying the RCM methodology to fully-automated underground mining machineries as one of the vital requirement of early future modern mining. For this purpose, a literature review has been done to clarify the advantages, requirements, issues and challenges of RCM in other industries such as aviation, marine, nuclear, oil and gas, and process industries. It has been tried to analyze the RCM procedure in detailed and to have a look on the adoption issues and requirement for RCM implementation in fully-automated mining. Mainly, in this research, following RCM documents and standards were used for feasibility study: • Classic RCM in Aviation industry (SAE-JA1011, SAE-JA1012)• NASA RCM guidelines • USA’s military standards MIL-STD-2173• International Atomic Energy Agency (IAEA) RCM documentUsing the above mentioned documents, an implementation issues and challenges in developing a RCM program for fully-automated underground mining machineries has been presented. The result of this study shows that RCM is applicable in maintenance planning for fully-automated underground mining machinery. Because, serious safety restrictions are associated with this kind of mining operation and RCM can properly help the engineers to analyze the safety consequences of any failure and make the best decision for maintenance tasks. However, practical application of RCM has some differences in mining context which in this project are discussed in detail. The investigations show the risk priority number is the suitable measure to select the RCM target component/system. Since, there is no operation in site, detective the some evident failures are become impossible in automated mining. Therefore, we have to consider the smartness level and capabilities of agent-based supervisors to get the real feeling of machinery health and operation condition. Internet of Thing platforms are also required in fully automated mine to develop the machine-to-machine communication and to reduce the risk of failures and failure propagation in fleet level. RCM could apply the outcomes of these advanced technologies to optimize the maintenance actions in automated mines.

  • 33.
    Khalokakaie, Reza
    et al.
    Shahrood University of Technology, Petroleum and Geophysics Department, Shahrood University of Technology, Faculty of Mining Engineering, Geophysics and Petroleum, Shahrood University of Technology.
    Ataei, Mohammad A.
    Shahrood University of Technology, Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Mikaiel, Reza
    Department of Mining and Metallurgy Engineering, Urmia University of Technology, Faculty of Mining Engineering, Geophysics and Petroleum, Shahrood University of Technology.
    Hoseinie, Hadi
    Faculty of Mining Engineering, Petroleum and Geophysics, Shahrood University of Technology.
    A fuzzy logic based classification for assessing of rock mass drillability2011In: International Journal of Mining and Mineral Engineering, ISSN 1754-890X, E-ISSN 1754-8918, Vol. 3, no 4, p. 278-289Article in journal (Refereed)
    Abstract [en]

    his paper describes a fuzzy classification system for evaluating of rock mass drillability. Six parameters; Uniaxial Compressive Strength (UCS), joints dipping, Mohs hardness, joints aperture, joints spacing and grain size have been used. In this fuzzy system, each rock mass is classified into five modes from very poor to excellent condition. As a case study, 15 rock masses in two mines in Iran have been studied and classified using fuzzy system and classic classification. The comparison of the results shows that the fuzzy classification produces clearer results than classic system especially in rock masses with boundary condition.

  • 34.
    Khoshalan, Hasel Amini
    et al.
    Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Torabi, Seyed Rahman
    Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    An introduction to RAM analysis of EPB tunnel boring machine2014In: Scientific Journal of Pure and Applied Sciences, ISSN 2322-2956, Vol. 3, no 3, p. 120-127Article in journal (Refereed)
  • 35.
    Lanke, Amol
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Uncertainty Analysis of Production in Open Pit Mines: Effect of environmental conditions2016In: Archives of Mining Sciences, ISSN 0860-7001, E-ISSN 1689-0469Article in journal (Refereed)
    Abstract [en]

    Production volume by mining equipment is influenced by internal and external parameters. External parameters include weather conditions, human factors etc. This study shows impact of temperature, rainfall and snowfall on production volume achieved under influence of these factors in open pit mine.  The case study is carried out which include data from weather station near an open pit mine and production tonnage. Multi regression modelling in performed using stated factors and production volume.  It was observed that Snowfall and rainfall has impact on production volume. Temperature has no effect on payload achieved as represented by model. With increasing snowfall and rainfall decreases. Higher snowfall (0.8 meter to 1 meter) although has tends to lead higher tonnage compared to low snowfall (0 to 0.8meters). Rainfall causes decrease in production of ore, with increase in rainfall from 1.2 mm, there is sharp decrease in production volume. The optimization table shows that with either no snowfall coupled with maximum rainfall (39 mm) it is possible to achieve production levels of 120 thousand per day. With high snowfall (1.06 metres) and no rainfall, it is possible to achieve maximum of 118 thousand tonnes per day.

  • 36.
    Lanke, Amol
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Department of Mining Engineering, Hamedan University of Technology, Hamedan.
    Uncertainty Analysis of Production in Open Pit Mines: operational parameter regression analysis of Mining Machinery2016In: Mining science, ISSN 2353-5423, Vol. 23, p. 147-160, article id msc162312Article in journal (Refereed)
    Abstract [en]

    In mining uncertainties related to equipment and operation are major reasons for loss of production. In order to address this issue a wide literature review was done in this study. It showed that reliability of equipment, spare part availability, automation of equipment are researched areas focused. However, a methodology which relates operational issues directly to production levels have been not studied with detailed analysis. In order to overcome this issue and propose, a method to achieve production assurance is the objective of this study. A case study with 2.5 years of data from a large open pit mine is carried out. Following the statistical principles, multiple regressions modeling with details analysis, optimization of payload and interpretation of analysis are used. It showed that at system level availability, utilization and maximum capacities are important criteria for finding root cause in loss of production. Model for shovel fleet showed that availability is most important characteristics hindering it to achieve higher level of production. It was also seen that 3 to 4 number of shovels are optimal for achieving current level of production. For truck fleet model represented that capacities involved are less important factor as compared to utilization of fleet.

  • 37.
    Lanke, Amol
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Mine Production index (MPi): New method to evaluate effectiveness of mining machinery2014Conference paper (Refereed)
    Abstract [en]

    OEE has been used in many industries as measure of performance. However due to limitations of original OEE, it has been modified by various researchers. OEE for mining application is special version of classic equation, carries these limitation over. In this paper it has been aimed to modify the OEE for mining application by introducing the weights to the elements of it and termed as Mine Production index (MPi). As a special application of new index MPishovel has been developed by authors. This can be used for evaluating the shovel effectiveness. Based on analysis, utilization followed by performance and availability were ranked in this order. To check the applicability of this index, a case study was done on four electrical and one hydraulic shovel in a Swedish mine. The results shows that MPishovel can evaluate production effectiveness of shovels and determine effectiveness values in optimistic view compared to OEE. MPi with calculation not only give the effectiveness but also can predict which elements should be focused for improving the productivity.

  • 38. Lanke, Amol
    et al.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Mine Production index (MPi): new method to evaluate the effectiveness of mining machinery2014Conference paper (Other academic)
  • 39.
    Lanke, Amol
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Ghodrati, Behzad
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Mine production index (MPI)-extension of OEE for bottleneck detection in mining2016In: International Journal of Mining Science and Technology, ISSN 2095-2686, Vol. 26, no 5, p. 753-760Article in journal (Refereed)
    Abstract [en]

    Although mining production depends on various equipments, significant amount of production loss can be attributed a specific equipment or fleet. Bottleneck is defined not only by production loss but also by our satisfaction from the equipment. The user satisfaction could be measured as machine effectiveness. Mining literature on performance improvement and optimization of equipment operations assert importance of availability, utilization and production performance as key parameters. These three parameters are useful for evaluating effectiveness of equipment. Mine production index (MPI), which can represent the effect of these factors, has been applied for continuous operation in mining. MPI uses Fuzzy Delphi Analytical Hierarchy Process to determine importance of each three parameter for individual equipment. A case study in a Swedish open pit mine was done to evaluate the field application of MPI. The results reveal that crusher is the bottleneck equipment in studied mine. As a methodical approach, an algorithm which uses MPI and detects bottleneck in continuous mining operation has been proposed.

  • 40.
    Mikaeil, Reza
    et al.
    Petroleum and Geophysics, Shahrood University of Technology.
    Hoseinie, Hadi
    Petroleum and Geophysics, Shahrood University of Technology.
    Ataei, Masoud
    Petroleum and Geophysics, Shahrood University of Technology.
    Abrasivity and sawability prediction of Khalkhal and Azarshahr travertin mines, Iran2008In: 8th International Scientific Conference on Modern Management of Mine Producing, Geology and Environmental Protection, SGEM 2008, Albena, Bulgaria, 16-20 June 2008, 2008, Vol. 1, p. 339-346Conference paper (Refereed)
    Abstract [en]

    In this study, the investigating of sawability and abrasivity of Khalkhal and Azarshahr travertine were carried out in order to the planning of a new plant. To achieve the goal, rock samples were collected from the mines and some mineralogical, physical and mechanical properties of rocks were determined in the laboratory. The sawability was determined by using some empirical methods based on Schmidt hammer value, Tensile Strength, Uniaxial Compressive Strength and P-wave velocity and abrasivity of rocks were investigated using thin section and Schimazek's abrasivity index. The results show that Khalkhal and Azarshahr travertines have very low abrasivity. The average estimated production rates were 15.89 m2/h and 16.32 m2/h, respectively.

  • 41.
    Mikaiel, Reza
    et al.
    Department of Mining and Metallurgy Engineering, Urmia University of Technology, Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technolog.
    Ataei, Mohammad A.
    Shahrood University of Technology, Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
    Hoseinie, Hadi
    Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technolog.
    Predicting the production rate of diamond wire saws in carbonate rock cutting2008In: IDR. Industrial Diamond Review, ISSN 0019-8145, Vol. 68, no 3, p. 28-34Article in journal (Refereed)
    Abstract [en]

    In this paper, by R. Mikaeil, M. Ataei and S. H. Hoseinie, the prediction of production rate of diamond wire saws was investigated. Performance measurements of diamond wire saws were carried out in 13 different quarries of carbonate rocks in Iran. For laboratory tests, rock samples were collected from these dimensional stone quarries. Then, equivalent quartz content and Uniaxial Compressive Strength (UCS) were determined. Production values were correlated with the corresponding, equivalent quartz content and Uniaxial Compressive Strength. The correlation between sawing rate and rock properties were evaluated using multiple and simple regression analyses. Then, the developed model was validated by statistical tests. It was concluded that the sawing rate of carbonate rocks using diamond wire saws can reliably be predicted using the developed model.

  • 42.
    Morshedlo, Amid
    et al.
    Hamedan University of Technology.
    Dehghani, Hesam
    Hamedan University of Technology.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Comparison between reliability of electrical and mechanical units of longwall machineries in Tabas coal mine2014Conference paper (Other academic)
  • 43.
    Morshedloo, Amid
    et al.
    Hamedan University of Technology.
    Dehghani, Hesam
    Hamedan University of Technology.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability Analysis of Armored Face Conveyor (AFC) in Tabas Mechanized Coal Mine2014Conference paper (Refereed)
  • 44.
    Morshedlou, Amid
    et al.
    Hamedan University of Technology.
    Dehghani, Hesam
    Hamedan University of Technology.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Maintenance-based production risk analysis in longwall mines2016In: Mining Technology, ISSN 1474-9009, E-ISSN 1743-2863Article in journal (Refereed)
  • 45.
    Morshedlou, Amid
    et al.
    Hamedan University of Technology.
    Dehghani, Hesam
    Hamedan University of Technology.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability Analysis of Power Supports in Mechanized Tabas coal mine2014Conference paper (Other academic)
  • 46.
    Morshedlou, Amid
    et al.
    Hamedan University of Technology.
    Dehghani, Hesam
    Hamedan University of Technology.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Reliability comparison between electrical and mechanical units of exploitation equipment in Tabas coal mine2014Conference paper (Refereed)
  • 47.
    Mundry, S.
    et al.
    Longwall Automation Department, Caterpillar Global Mining Europe, Luenen.
    Gajetzki, M.
    Longwall Automation Department, Caterpillar Global Mining Europe, Luenen.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Longwall automation: productivity and coal quality enhancement2015In: International Journal of Mining, Reclamation and Environment, ISSN 1748-0930, E-ISSN 1748-0949, Vol. 29, no 5, p. 357-367Article in journal (Refereed)
    Abstract [en]

    This paper provides a general review of longwall automation systems, discussing the results of implementing automation, with a focus on shearer automation. A case study in an Australian longwall mine investigates the effects of automation on productivity, production rate and cutting profiles. The results reveal that with automation, productivity increased by 10% and the production rate increased by almost 22%. In addition, automation resulted in smooth production and accurate cutting profiles three months after installation

  • 48.
    Mundry, Sebastian M.
    et al.
    Longwall Automation Department, Caterpillar Global Mining Europe, Luenen.
    Gajetski, Markus
    Longwall Automation Department, Caterpillar Global Mining Europe, Luenen.
    Hoseinie, Hadi
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Productivity drives longwall automation2017In: Coal International, ISSN 1357-6941, Vol. 265, no 2, p. 22-25Article in journal (Refereed)
  • 49.
    Omidi, Omid
    et al.
    Faculty of Mining Engineering, Petroleum and Geophysics, Shahrood University of Technology.
    Torabi, Seyed Rahman
    Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology, Faculty of Mining Engineering, Petroleum and Geophysics, Shahrood University of Technology.
    Ataei, Mohammad A.
    Shahrood University of Technology, Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology, Faculty of Mining Engineering, Petroleum and Geophysics, Shahrood University of Technology.
    Hoseinie, Hadi
    Department of Mining Engineering, Hamedan University of Technology.
    Prediction of rock fracture toughness modes I and II utilising brittleness indexes2013In: International Journal of Mining and Mineral Engineering, ISSN 1754-890X, E-ISSN 1754-8918, Vol. 4, no 2, p. 163-173Article in journal (Refereed)
    Abstract [en]

    Fracture toughness and brittleness are of the most crucial rock features for underground excavation and drilling in rock mass. Developed standard tests to determine rock fracture toughness are very difficult as well as time consuming; furthermore, they require high-level accuracy during sample preparation and testing. An attempt has been made to propose simple relations to determine fracture toughness modes I and II based on brittleness indexes B 1, B2 and B3 in this paper. The data for regression were gathered from the literature, including modes I and II fracture toughness, uniaxial compressive strength and tensile strength. It was obtained that both fracture toughness modes I and II of different rock types give reasonable correlations with brittleness index B1. No correlation was observed between fracture toughness modes and other brittleness indexes

  • 50.
    Rahimdel, Mohammad Javad
    et al.
    Faculty of Mining Engineering, Sahand University of Technology, Tabriz , Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technolog.
    Ataei, Mohammad A.
    Shahrood University of Technology, Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology, Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technolog.
    Kakaei, Reza
    Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technolog.
    Hoseinie, Hadi
    Department of Mining Engineering, Hamedan University of Technology.
    Reliability analysis of drilling operation in open pit mines2013In: Archives of Mining Sciences, ISSN 0860-7001, E-ISSN 1689-0469, Vol. 58, no 2, p. 569-578Article in journal (Refereed)
    Abstract [en]

    Considering the high investment and operation costs, reliability analysis of mining machineries is essential to achieve a lean operation and to prevent the unwanted stoppages. In open pit mining, drilling, as the initial stage of the exploitation operations, has a significant role in the other stages. Failure of drilling machines causes total delay in blasting operation. In this paper, the reliability of drilling operation has been analyzed using the Markov method. The failure and operation data of four heavy rotary drilling machines in Sarcheshme copper mine in Iran have been used as a case study. Failure rate and repair rate of all machines have been calculated using available data. Then, 16 possible operation states have been defined and the probability of being of drilling fleet in each of the states was calculated using Markov theory. The results showed that there was 77.2% probability that all machines in fleet were in operational condition. It means that, considering 360 working days per year, drilling operation will be in a reliable condition in 277.92 days.

12 1 - 50 of 56
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf