Change search
Link to record
Permanent link

Direct link
BETA
Rosenkranz, Jan
Publications (10 of 77) Show all publications
Koch, P.-H., Lund, C. & Rosenkranz, J. (2019). Automated drill core mineralogical characterization method for texture classification and modal mineralogy estimation for geometallurgy. Minerals Engineering, 136, 99-109
Open this publication in new window or tab >>Automated drill core mineralogical characterization method for texture classification and modal mineralogy estimation for geometallurgy
2019 (English)In: Minerals Engineering, ISSN 0892-6875, E-ISSN 1872-9444, Vol. 136, p. 99-109Article in journal (Refereed) Published
Abstract [en]

In geometallurgy, a process model operating at the mineral liberation level needs quantitative textural information about the ore. The utilization of this information within process modeling and simulation will increase the quality of the predictions.

In this study, descriptors derived from color images and machine learning algorithms are used to group drill core intervals into textural classes and estimate mineral maps by automatic pixel classification. Different descriptors and classifiers are compared, based on their accuracy and capacity to be automated. Integration of the classifier approach with mineral processing simulation is also demonstrated. The quantification of textural information for mineral processing simulation introduced new tools towards an integrated information flow from the drill cores to a geometallurgical model.

The approach has been verified by comparing traditional geological texture classification against the one obtained from automatic methods. The tested drill cores are sampled from a porphyry copper deposit located in Northern Sweden.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2019
Keywords
Geometallurgy Drill core scanning Classification Texture Process mineralogy
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-73323 (URN)10.1016/j.mineng.2019.03.008 (DOI)2-s2.0-85063084058 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-03-26 (inah)

Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-04-23Bibliographically approved
Tohry, A., Dehghan, R., Chelgani, S. C., Rosenkranz, J. & Rahmani, O. (2019). Selective Separation of Hematite by a Synthesized Depressant in Various Scales of Anionic Reverse Flotation. Minerals, 9(2), Article ID 124.
Open this publication in new window or tab >>Selective Separation of Hematite by a Synthesized Depressant in Various Scales of Anionic Reverse Flotation
Show others...
2019 (English)In: Minerals, ISSN 2075-163X, E-ISSN 2075-163X, Vol. 9, no 2, article id 124Article in journal (Refereed) Published
Abstract [en]

Demand for high-quality iron concentrate is significantly increasing around the world. Thus, the development of the techniques for a selective separation and rejection of typical associated minerals in the iron oxide ores, such as phosphorous minerals (mainly apatite group), is a high priority. Reverse anionic flotation by using sodium silicate (SS) as an iron oxide depressant is one of the techniques for iron ore processing. This investigation is going to present a synthesized reagent “sodium co-silicate (SCS)” for hematite depression through a reverse anionic flotation. The main hypothesis is the selective depression of hematite and, simultaneously, modification of the pulp pH by SCS. Various flotation experiments, including micro-flotation, and batch flotation of laboratory and industrial scales, were conducted in order to compare the depression selectivity of SS versus SCS. Outcomes of flotation tests at the different flotation scales demonstrated that hematite depression by SCS is around 3.3% higher than by SS. Based on flotation experiment outcomes, it was concluded that SCS can modify the pH of the process at ~9.5, and the plant reagents (including NaOH, Na2CO3, and SS gel) can be replaced by just SCS, which can also lead to a higher efficiency in the plant. 

Place, publisher, year, edition, pages
MDPI, 2019
Keywords
anionic reverse flotation; phosphorus; depression; sodium co-silicate
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-73481 (URN)10.3390/min9020124 (DOI)000460799000058 ()2-s2.0-85063594686 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-04-08 (svasva)

Available from: 2019-04-05 Created: 2019-04-05 Last updated: 2019-04-15Bibliographically approved
Guntoro, P. I., Ghorbani, Y. & Rosenkranz, J. (2019). Use of X-ray Micro-computed Tomography (µCT) for 3-D Ore Characterization: A Turning Point in Process Mineralogy. In: : . Paper presented at 26th International Mining Congress and Exhibition (IMCET 2019), Antalya, April 16-19, 2019 (pp. 1044-1054).
Open this publication in new window or tab >>Use of X-ray Micro-computed Tomography (µCT) for 3-D Ore Characterization: A Turning Point in Process Mineralogy
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, automated mineralogy has become an essential enabling technology in the field of process mineralogy, allowing better understanding between mineralogy and the beneficiation process. Recent developments in X-ray micro-computed tomography (μCT) as a non-destructive technique have indicated great potential to become the next automated mineralogy technique. μCT’s main advantage lies in its ability to allow 3-D monitoring of internal structure of the ore at resolutions down to a few hundred nanometers, thereby eliminating the stereological error encountered in conventional 2-D analysis. Driven by the technological and computational progress, the technique is continuously developing as an analysis tool in ore characterization and subsequently it foreseen thatμCT will become an indispensable technique in the field of process mineralogy. Although several software tools have been developed for processing μCT dataset, but the main challenge in μCT data analysis remains in the mineralogical analysis, where μCT data often lacks contrast between mineral phases, making segmentation difficult. In this paper, an overview of some current applications of μCT in ore characterization is reviewed, alongside with it potential implications to process mineralogy. It also describes the current limitations of its application and concludes with outlook on the future development of 3-D ore characterization.

Keywords
X-ray micro-tomography (µCT), process mineralogy, ore characterization
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-73716 (URN)
Conference
26th International Mining Congress and Exhibition (IMCET 2019), Antalya, April 16-19, 2019
Funder
EU, Horizon 2020
Available from: 2019-04-23 Created: 2019-04-23 Last updated: 2019-04-25Bibliographically approved
Guntoro, P. I., Ghorbani, Y., Koch, P.-H. & Rosenkranz, J. (2019). X-ray Microcomputed Tomography (µCT) for Mineral Characterization: A Review of Data Analysis Methods. Minerals, 9(3), Article ID 183.
Open this publication in new window or tab >>X-ray Microcomputed Tomography (µCT) for Mineral Characterization: A Review of Data Analysis Methods
2019 (English)In: Minerals, ISSN 2075-163X, E-ISSN 2075-163X, Vol. 9, no 3, article id 183Article in journal (Refereed) Published
Abstract [en]

The main advantage of X-ray microcomputed tomography (µCT) as a non-destructive imaging tool lies in its ability to analyze the three-dimensional (3D) interior of a sample, therefore eliminating the stereological error exhibited in conventional two-dimensional (2D) image analysis. Coupled with the correct data analysis methods, µCT allows extraction of textural and mineralogical information from ore samples. This study provides a comprehensive overview on the available and potentially useful data analysis methods for processing 3D datasets acquired with laboratory µCT systems. Our study indicates that there is a rapid development of new techniques and algorithms capable of processing µCT datasets, but application of such techniques is often sample-specific. Several methods that have been successfully implemented for other similar materials (soils, aggregates, rocks) were also found to have the potential to be applied in mineral characterization. The main challenge in establishing a µCT system as a mineral characterization tool lies in the computational expenses of processing the large 3D dataset. Additionally, since most of the µCT dataset is based on the attenuation of the minerals, the presence of minerals with similar attenuations limits the capability of µCT in mineral segmentation. Further development on the data processing workflow is needed to accelerate the breakthrough of µCT as an analytical tool in mineral characterization.

Place, publisher, year, edition, pages
Basel, Switzerland: MDPI, 2019
Keywords
X-ray microcomputed tomography, data analysis, mineral characterization, texture, mineralogy
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-73224 (URN)10.3390/min9030183 (DOI)2-s2.0-85064225739 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-03-18 (svasva)

Available from: 2019-03-18 Created: 2019-03-18 Last updated: 2019-04-24Bibliographically approved
Malm, L., Kindstedt Danielsson, A.-S., Sand, A., Rosenkranz, J. & Ymén, I. (2018). Application of Dynamic Vapor Sorption for evaluation of hydrophobicity in industrial-scale froth flotation. Minerals Engineering, 127, 305-311
Open this publication in new window or tab >>Application of Dynamic Vapor Sorption for evaluation of hydrophobicity in industrial-scale froth flotation
Show others...
2018 (English)In: Minerals Engineering, ISSN 0892-6875, E-ISSN 1872-9444, Vol. 127, p. 305-311Article in journal (Refereed) Published
Abstract [en]

The particle surface properties are essential for understanding froth flotation, particularly for the evaluation of various chemical or reagent effects.

Dynamic Vapor Sorption (DVS) is used in the pharmaceutical industry for the evaluation of surface properties and has to the knowledge of the authors not been used for applications in mineral processing. This paper describes an evaluation of industrial ore samples using DVS.

Four samples (feed, CuPb concentrate, Cu concentrate and Pb concentrate) from each of the Cu – Pb flotation processes in the Boliden and Garpenberg concentrators, Sweden, were analyzed by DVS in order to investigate if this technique could be used to estimate differences in their hydrophilicity. The DVS measures the water uptake as a function of the relative humidity (%RH) at constant temperature.

For both series of four samples, it was found that the DVS-data are in precise agreement with the flotation theory on hydrophobicity (indicated by differences in water uptake). The feed material, without any collectors, adsorbed more water compared to the CuPb bulk concentrate, which in turn adsorbed more water than the Cu concentrate. The lead concentrate on the other hand, which had been depressed by dichromate and should be more hydrophilic, showed a higher adsorbance of water than that of the CuPb concentrate.

The repeated measurements of three sub samples from one of the ore samples gave a mean value and an estimated standard deviation of 0.13 ± 0.01%. This shows that the method gives highly reproducible results and that the differences between the samples had high significance. This also shows that the DVS method can serve as a useful complement to traditionally used contact angle or capillary absorption-based measurement methods, especially when screening for new flotation reagents on industrial ore samples.

Place, publisher, year, edition, pages
Elsevier, 2018
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-66720 (URN)10.1016/j.mineng.2017.11.004 (DOI)000445308600035 ()
Note

Validerad;2018;Nivå 2;2018-08-30 (andbra)

Available from: 2017-11-23 Created: 2017-11-23 Last updated: 2019-02-08Bibliographically approved
Sand, A. & Rosenkranz, J. (2018). Dynamic vapor sorption: A novel method for measuring the hydrophobicity in industrial-scale froth flotation. In: : . Paper presented at 29th International Mineral Processing Congress, IMPC 2018; Moscow; Russian Federation; 17-21 September 2018.
Open this publication in new window or tab >>Dynamic vapor sorption: A novel method for measuring the hydrophobicity in industrial-scale froth flotation
2018 (English)Conference paper (Refereed)
Identifiers
urn:nbn:se:ltu:diva-72851 (URN)2-s2.0-85059365066 (Scopus ID)
Conference
29th International Mineral Processing Congress, IMPC 2018; Moscow; Russian Federation; 17-21 September 2018
Available from: 2019-02-12 Created: 2019-02-12 Last updated: 2019-02-12
Vrkljan, D., Grbes, A., Rosenkranz, J., Frishammar, J. & Sand, A. (2018). Innovative processing: Final report including guidelines and recommendations for future policy development for innovation in mineral and metallurgical processing.
Open this publication in new window or tab >>Innovative processing: Final report including guidelines and recommendations for future policy development for innovation in mineral and metallurgical processing
Show others...
2018 (English)Report (Other academic)
Abstract [en]

ObjectivesThe aim of WP4 “Innovative Processing” is to elaborate how innovations in mineral and metallurgical processing are generated or taken up in different EU Member States and on EU‐level and how this is either facilitated or inhibited by policies and legislation on national or European level. The purpose oft he deliverable 4.3 is to complement the findings of D4.1 and D4.2 by carrying out additional interviews with representatives from different stakeholder groups (academia, industry, NGO’s and policymakers). The topics and questions of the questionnaire addressed the respondents’ perception of national and EU‐ and EU MS level mineral policies, gaps and needs with respect to innovation in mineral‐ and metallurgical processing. Questions for the questionnaire focus on previously identified innovations in mineral processing, metallurgical processing and metal recycling. Based on the input both from previous deliverables and from findings through the additional interviews and innovation cases, an analysis of needs and gaps as well as a SWOT analysis has been conducted. Recommendations for future development of mineral and metallurgical processing sector were evaluated.

Main FindingsConclusions and recommendations for future policy development for innovation in mineral and metallurgical processing were developed based on a survey and a SWOT analysis.

  • Most of the mineral policies are addressing the entire mineral value chain. Several statutory provisions are related to mineral and metallurgical processing. National mineral policies are not very much addressing the mineral and metallurgical processing, while recycling is dislocated from mining/mineral legislation.
  • The sentiment amongst policy makers towards the raw materials industry has improved on EU level through a number of strategic policy initiatives (e.g. the Strategic Implementation Plan for Raw materials, the revised EU Industrial Policy Strategy, the Raw Materials Initiative).
  • The use of raw materials from secondary sources has been identified as being an integral part of the life cycle of materials.
  • Innovations in mineral and metallurgical processing are not supported at strategic and economic/investment level. The policy is neutral or inhibiting through long and uncertain permitting procedure, or is indifferent to innovation as to mineral and metallurgical processing.
  • The European knowledge and skills base in mineral and metallurgical processing has diminished during the past 20 years.
Publisher
p. 27
National Category
Other Engineering and Technologies not elsewhere specified Metallurgy and Metallic Materials
Research subject
Entrepreneurship and Innovation; Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-70381 (URN)
Funder
EU, Horizon 2020, 689527
Note

Deliverable 4.3

Available from: 2018-08-14 Created: 2018-08-14 Last updated: 2018-08-16Bibliographically approved
Parian, M., Lamberg, P. & Rosenkranz, J. (2018). Process simulations in mineralogy-based geometallurgy of iron ores. Transactions of the Institution of Mining and Metallurgy Section C - Mineral Processing and Extractive Metallurgy
Open this publication in new window or tab >>Process simulations in mineralogy-based geometallurgy of iron ores
2018 (English)In: Transactions of the Institution of Mining and Metallurgy Section C - Mineral Processing and Extractive Metallurgy, ISSN 0371-9553, E-ISSN 1743-2855Article in journal (Refereed) Epub ahead of print
Abstract [en]

Mineral processing simulation models can be classified based on the level that feed stream to the plant and unit models are described. The levels of modelling in this context are: bulk, mineral or element by size, and particle. Particle level modelling and simulation utilises liberation data in the feed stream and is more sensitive to the variations in ore quality, specifically ore texture. In this paper, simulations for two texturally different magnetite ores are demonstrated at different modelling levels. The model parameters were calibrated for current run-of-mine ore and then in the simulation applied directly to the other ore. For the second ore, the simulation results vary between the different levels. This is because, at the bulk level, the model assumes minerals do not change their behaviour if ore texture or grinding fineness are changed. At the mineral by size level, the assumption is that minerals behave identically in each size fraction even if the ore texture changes. At the particle level, the assumption is that similar particles behave in the same way. The particle level approach gives results that are more realistic and it can be used in optimisation, thus finding the most optimal processing way for different geometallurgical domains.

Place, publisher, year, edition, pages
Taylor & Francis, 2018
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-70357 (URN)10.1080/25726641.2018.1507072 (DOI)
Available from: 2018-08-13 Created: 2018-08-13 Last updated: 2018-08-13
Andersson, A., Ahmed, H., Rosenkranz, J., Samuelsson, C. & Björkman, B. (2017). Characterization and Upgrading of a Low Zinc-Containing and Fine Blast Furnace Sludge: A Multi-Objective Analysis. ISIJ International, 57(2), 262-271
Open this publication in new window or tab >>Characterization and Upgrading of a Low Zinc-Containing and Fine Blast Furnace Sludge: A Multi-Objective Analysis
Show others...
2017 (English)In: ISIJ International, ISSN 0915-1559, E-ISSN 1347-5460, Vol. 57, no 2, p. 262-271Article in journal (Refereed) Published
Place, publisher, year, edition, pages
The Iron and Steel Institute of Japan, 2017
Keywords
blast furnace sludge; recycling; characterization; zinc; hydrocyclone; leaching
National Category
Metallurgy and Metallic Materials
Research subject
Process Metallurgy
Identifiers
urn:nbn:se:ltu:diva-59991 (URN)10.2355/isijinternational.ISIJINT-2016-512 (DOI)000396642300008 ()2-s2.0-85013916025 (Scopus ID)
Funder
Swedish Energy Agency
Note

Validerad; 2017; Nivå 2; 2017-03-10 (andbra)

Available from: 2016-10-27 Created: 2016-10-27 Last updated: 2018-11-20Bibliographically approved
Mwanga, A., Parian, M., Lamberg, P. & Rosenkranz, J. (2017). Comminution modeling using mineralogical properties of iron ores. Minerals Engineering, 111, 182-197
Open this publication in new window or tab >>Comminution modeling using mineralogical properties of iron ores
2017 (English)In: Minerals Engineering, ISSN 0892-6875, E-ISSN 1872-9444, Vol. 111, p. 182-197Article in journal (Refereed) Published
Abstract [en]

Comminution modeling aims to predict the size and liberation distribution of mineral particles and the required comminution energy. The current state-of-the-art comminution models provide a calculation of neither particle size distribution, grinding energy and throughput dependency with neither a broad understanding of how the mineral grade varies by size nor the liberation distribution of the product. The underlying breakage mechanisms affect the liberation of mineral grains and are dependent on modal mineralogy and mineral texture (micro structure). It has also been a challenge to model comminution systems to predict the optimal energy and size for better mineral liberation because of the variability of the mineral particle properties i.e. grains arrangement and composition. A detailed mineralogical study was carried out in order to broaden the understanding of the nature and distribution of comminuted particles in a ball mill product. Focusing on iron ore samples the study showed how the particle breakage rate decreases when the particles reach the grain size of the main mineral component. Below that size, comminution does not increase mineral liberation and therefore in most of the cases passing over that boundary is only a waste of energy. The study involving iron ores from Malmberget and Kiruna, Northern Sweden, showed that certain shortcuts can be applied to empirically model the mineral liberation distribution of the particles in a ball mill based on the mineral grade-by-size pattern from a geometallurgical program. In Malmberget and Kiruna the mineral grade-by-size pattern is depending on the mineral distribution and grain size of gangue as well as magnetite or hematite minerals. A significant difference between mineral breakage of the same grade and gangue minerals can be observed due to texture differences.

Place, publisher, year, edition, pages
Elsevier, 2017
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-64658 (URN)10.1016/j.mineng.2017.06.017 (DOI)000406729800020 ()2-s2.0-85021449830 (Scopus ID)
Note

Validerad;2017;Nivå 2;2017-06-29 (andbra)

Available from: 2017-06-29 Created: 2017-06-29 Last updated: 2018-07-10Bibliographically approved
Organisations

Search in DiVA

Show all publications