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Modeling and Simulation Approaches for Reliability Analysis of Drilling Machines
Department of Mining Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.
Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0003-1377-8180
2020 (English)In: Journal of The Institution of Engineers (India): Series C, ISSN 2250-0545, Vol. 101, p. 125-133Article in journal (Refereed) Published
Abstract [en]

Drilling, as the initial stage of exploitation in open-pit mining, has a significant effect on subsequent mining stages. Any failure in a drilling machine stops the drilling operation and, as a result, all following operational phases come to a halt. The drilling system is the most important part of the drilling operation. This study selected two new rotary-type drilling machines (A and B) in Sarcheshmeh Copper Mine in Iran as a case study to perform a reliability and availability analysis of their drilling systems. The drilling system was divided into three independent subsystems; drill string, rotary head, and mast. The reliability modeling used a reliability block diagram and Monte Carlo simulation. Reliability and availability were evaluated, and the importance of each subsystem estimated. A preventive maintenance schedule was proposed using weighed reliability allocation to achieve the reliability target. The results show the mast is the most reliable subsystem. Importance measure analysis indicates the drill string and rotary head are the most critical subsystems of machines A and B, respectively. Finally, under the proposed maintenance policy, the reliability of the drilling systems of machines A and B is improved.

Place, publisher, year, edition, pages
Springer, 2020. Vol. 101, p. 125-133
Keywords [en]
Rotary drilling machine, Drilling system, Reliability, Monte Carlo simulation, Maintenance
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-78331DOI: 10.1007/s40032-019-00533-xScopus ID: 2-s2.0-85072022563OAI: oai:DiVA.org:ltu-78331DiVA, id: diva2:1421536
Note

Validerad;2020;Nivå 1;2020-04-03 (johcin)

Available from: 2020-04-03 Created: 2020-04-03 Last updated: 2020-08-26Bibliographically approved

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