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Relevant bibliographies by topics / In-Pit Crushing and Conveying, Surface Mining

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Journal articles
Dissertations / Theses
Book chapters

Academic literature on the topic 'In-Pit Crushing and Conveying, Surface Mining'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "In-Pit Crushing and Conveying, Surface Mining"

1

Osanloo, Morteza, and Morteza Paricheh. "In-pit crushing and conveying technology in open-pit mining operations: a literature review and research agenda." International Journal of Mining, Reclamation and Environment 34, no. 6 (January 18, 2019): 430–57. http://dx.doi.org/10.1080/17480930.2019.1565054.

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Rylnikova, M. V., A. V. Vlasov, and M. A. Makeev. "Justification of Conditions for Application of Automated Control Systems for Surface Mining during Construction of In Pit Crushing and Conveying System using Simulation Modeling." Mining Industry Journal (Gornay Promishlennost), no. 4/2021 (August 25, 2021): 106–12. http://dx.doi.org/10.30686/1609-9192-2021-4-106-112.

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The simulation modeling approach described in the article is intended to assess the efficiency of geo-technologies and can be applied: 1) to evaluate the implementation of smart geotechnologies with digital transformation of the mining systems; 2) to select the mining and transportation management system as well as the preferred logistic scheme of the mine. This approach makes it possible to make more reasonable investment decisions based on an objective quantitative assessment. Simulation modeling should be based on the results of geotechnical justification of structural parameters of the pit walls and benches in operating and limit states. Transition to automated systems to control smart geotechnologies in programmable mode and timely inclusion of the In Pit Crushing and Conveying (IPCC) technology into the transport scheme helps to: 1) remove people from the working zones inside the open pit; 2) significantly reduce the ore mining costs; 3) advance to a higher level of technology in developing the deposits; 4) process ores that were previously considered substandard. As an example, the assessment results are provided of the implementation of new rock mass transportation technologies at the Codelco copper mine in Chile in the Radomiro Tomic open pit.

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3

Liu, Dingbang, and Yashar Pourrahimian. "A Framework for Open-Pit Mine Production Scheduling under Semi-Mobile In-Pit Crushing and Conveying Systems with the High-Angle Conveyor." Mining 1, no. 1 (April 13, 2021): 59–79. http://dx.doi.org/10.3390/mining1010005.

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In-pit crushing and conveying (IPCC) systems have drawn attention to the modern mining industry due to the numerous benefits than conventional truck-and-shovel systems. However, the implementation of the IPCC system can reduce mining flexibility and introduce additional mining sequence requirements. This paper investigates the long-term production scheduling and the crusher relocation plan of open-pit mines using a semi-mobile IPCC system and high-angle conveyor. A series of candidate high-angle conveyor locations is generated around the pit limit, with a crusher located along each conveyor line. Each conveyor location is solved independently by an integer linear programming model for making production scheduling and crushing station decisions, aiming to maximize the net present value (NPV) considering the material handling and crushing station relocation costs. The production schedule with the highest NPV and the associated conveyor and crusher location is considered the optimum or near-optimum solution.

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Terezopoulos, N. G. "Continuous haulage and in-pit crushing in surface mining." Mining Science and Technology 7, no. 3 (October 1988): 253–63. http://dx.doi.org/10.1016/s0167-9031(88)90777-3.

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5

Mikhailov, A. V., O. Z. Garmaev, D. R. Garifullin, and YA Kazakov. "A potential application of in-pit crushing-conveying and dewatering system in peat mining." IOP Conference Series: Earth and Environmental Science 378 (November 13, 2019): 012086. http://dx.doi.org/10.1088/1755-1315/378/1/012086.

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6

Kammerer, Brian A. "In-pit crushing and conveying system at Bingham Canyon Mine." International Journal of Surface Mining, Reclamation and Environment 2, no. 3 (January 1988): 143–47. http://dx.doi.org/10.1080/09208118808944149.

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7

Santos, Joseph A. Dos, and Zivorad Stanisic. "In-pit crushing and high angle conveying in Yugoslavian copper mine." International Journal of Surface Mining, Reclamation and Environment 1, no. 2 (January 1987): 97–104. http://dx.doi.org/10.1080/09208118708944108.

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8

Hay, E., M. Nehring, P. Knights, and M. S. Kizil. "Ultimate pit limit determination for semi mobile in-pit crushing and conveying system: a case study." International Journal of Mining, Reclamation and Environment 34, no. 7 (July 23, 2019): 498–518. http://dx.doi.org/10.1080/17480930.2019.1639006.

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9

Kittipongvises, Suthirat, Orathai Chavalparit, and Chakkaphan Sutthirat. "Greenhouse Gases and Energy Intensity of Granite Rock Mining Operations in Thailand: A Case of Industrial Rock-Construction." Environmental and Climate Technologies 18, no. 1 (December 1, 2016): 64–75. http://dx.doi.org/10.1515/rtuect-2016-0014.

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Abstract This paper is aimed to systematically assess greenhouse gases (GHGs) and energy intensity of the granite rock mining operations in Thailand and also identify a range of feasible options to minimize their GHG emissions. Mining factories A, B and C, located in the Eastern region of Thailand, were selected as research case studies. The results indicated that the 3-year average of GHGs emissions from factories A to C was 3387 718 kgCO2e per year with approximately 2.92 kgCO2e per ton of granite rock produced over 2012 to 2014. Of this, the carbon intensity of grid-electricity consumption for the crushed rock production was 1.84 kgCO2/kWh. Diesel fuel combustion for transport activities in the mining factories was the greatest contributor to GHGs emissions (68 %) compared to the purchased electricity and explosion process, with 31 % and 1 %, respectively. In-Pit Crushing and Conveying (IPCC) installation, haul truck payload optimization and management, and reduction in tire rolling resistance have shown potential to reduce carbon emissions accounted for 20 % to 70 %.

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10

Patyk, Michał, Przemysław Bodziony, and Zbigniew Krysa. "A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of Equipment Selection for Surface Mining." Energies 14, no. 11 (May 25, 2021): 3066. http://dx.doi.org/10.3390/en14113066.

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Selection and assessment of mining equipment used in open pit rock mines relies chiefly on estimates of overall exploitation cost. The rational arrangement of mining equipment and systems comprising loading machines, haul trucks and crushing plants should be preceded by a thorough analysis of technical and economic aspects, such as investment outlays and the costs of further exploitation, which largely determine the costs of mining operations and the deposit value. Additionally, the operational parameters of the mining equipment ought to be considered. In this study, a universal set of evaluation criteria has been developed, and an evaluation method has been applied for the selection of surface mining equipment and the processing system to be operated in specific mining conditions, defined by the user. The objective of this study is to develop and apply the new methodology of multi-criteria selection of open pit rock mining equipment based on multiple criteria decision-making (MCDM) procedures, to enable the optimization of loading, handling and crushing processes. The methodology, underpinned by the principles of MCDM, provides the dedicated ranking procedures, including the ELECTRE III. The applied methodology allows the alternative options (variants) to be ranked accordingly. Ultimately, a more universal methodology is developed, applicable in other surface mines where geological and mining conditions are similar. It may prove particularly useful in selection and performance assessment of mining equipment and process line configurations in mining of low-quality rock deposits. Therefore, we undertook to develop universal criteria and applications for the selection and performance assessment of process machines for surface mines, taking into account environmental aspects as well as deposit quality.

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Dissertations / Theses on the topic "In-Pit Crushing and Conveying, Surface Mining"

1

Ritter, Robert. "Contribution to the capacity determination of semi-mobile in-pit crushing and conveying systems." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2017. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-216455.

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As ore grades decline, waste rock to ore ratios increase and mines become progressively deeper mining operations face challenges in more complex scenarios. Today´s predominant means of material transport in hard-rock surface mines are conventional mining trucks however despite rationalisation efforts material transportation cost increased significantly over the last decades and currently reach up to 60% of overall mining. Thus, considerations and efforts to reduce overall mining costs, promise highest success when focusing on the development of more economic material transport methods. Semi-mobile in-pit crusher and conveyor (SMIPCC) systems represent a viable, safer and less fossil fuel dependent alternative however its viability is still highly argued as inadequate methods for the long term projection of system capacity leads to high uncertainty and consequently higher risk. Therefore, the objective of this thesis is to develop a structured method for the determination of In-pit crusher and conveyor SMIPCC system that incorporates the random behaviour of system elements and their interaction. The method is based on a structured time usage model specific to SMIPCC system supported by a stochastic simulation. The developed method is used in a case study based on a hypothetical mine environment to analyse the system behaviour with regards to time usage model component, system capacity, and cost as a function of truck quantity and stockpile capacity. Furthermore, a comparison between a conventional truck & shovel system and SMIPCC system is provided. Results show that the capacity of a SMIPCC system reaches an optimum in terms of cost per tonne, which is 24% (22 cents per tonne) lower than a truck and shovel system. In addition, the developed method is found to be effective in providing a significantly higher level of information, which can be used in the mining industry to accurately project the economic viability of implementing a SMIPCC system.

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2

Radlowski, Jacek K. "In-pit crushing and conveying as an alternative to an all truck system in open pit mines." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/28512.

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The material transport system in an open pit mine significantly affects the capital and operating costs. All truck haulage is the most common and is a reliable and flexible transport system. On the other hand, this system is very expensive and can cost up to 50% of total mining costs. Its cost is continuously increasing due to the inflation of the fuel, tire, and labour expenditures. In-pit crushing and conveying is an alternative transport system which requires a higher initial investment but gives substantial savings in operating costs. An evaluation of the all truck system versus the in-pit crushing and conveying system has been performed by means of a simulation of both transport systems in the same mine model. Results of the simulation and the data obtained from the feasibility studies provided input for an economic comparison of the alternative transport systems. A cash flow analysis showed that the in-pit crushing and conveying system was competitive with the all truck system, giving a payback within four years and resulting in total costs over 30% lower than those of an all truck system. Three computer programs, written by the author, have been used to analyse the mine model: (1) Open Pit Simulation Program - to model a hypothetical mine and simulate its haulage operation over the mine life, (2) Off-Highway Truck Simulation Program - to simulate the truck haulage on average annual routes in terms of the operating time and fuel consumption for the estimation of the truck fleet size and the fuel cost, (3) Cash Flow Analysis Calculation Program - to compare costs of the alternative transport systems over the whole period of a mine life.
Applied Science, Faculty of
Mining Engineering, Keevil Institute of
Graduate

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3

Ritter, Robert. "Contribution to the capacity determination of semi-mobile in-pit crushing and conveying systems." Doctoral thesis, 2016. https://tubaf.qucosa.de/id/qucosa%3A23098.

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Abstract:

As ore grades decline, waste rock to ore ratios increase and mines become progressively deeper mining operations face challenges in more complex scenarios. Today´s predominant means of material transport in hard-rock surface mines are conventional mining trucks however despite rationalisation efforts material transportation cost increased significantly over the last decades and currently reach up to 60% of overall mining. Thus, considerations and efforts to reduce overall mining costs, promise highest success when focusing on the development of more economic material transport methods. Semi-mobile in-pit crusher and conveyor (SMIPCC) systems represent a viable, safer and less fossil fuel dependent alternative however its viability is still highly argued as inadequate methods for the long term projection of system capacity leads to high uncertainty and consequently higher risk. Therefore, the objective of this thesis is to develop a structured method for the determination of In-pit crusher and conveyor SMIPCC system that incorporates the random behaviour of system elements and their interaction. The method is based on a structured time usage model specific to SMIPCC system supported by a stochastic simulation. The developed method is used in a case study based on a hypothetical mine environment to analyse the system behaviour with regards to time usage model component, system capacity, and cost as a function of truck quantity and stockpile capacity. Furthermore, a comparison between a conventional truck & shovel system and SMIPCC system is provided. Results show that the capacity of a SMIPCC system reaches an optimum in terms of cost per tonne, which is 24% (22 cents per tonne) lower than a truck and shovel system. In addition, the developed method is found to be effective in providing a significantly higher level of information, which can be used in the mining industry to accurately project the economic viability of implementing a SMIPCC system.

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Book chapters on the topic "In-Pit Crushing and Conveying, Surface Mining"

1

van Leyen, H. "Aspects of in-pit crushing, conveying and dump layout." In Mining Latin America / Minería Latinoamericana, 397–411. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-017-2286-5_34.

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2

Dos Santos, Joseph A., and Zivorad Stanisic. "In-pit crushing and high angle conveying in a Yugoslavian copper mine." In Mining Latin America / Minería Latinoamericana, 101–13. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-017-2286-5_10.

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