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Developing a numerical model to analyze the production process of PMEDM

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  • Rajkumar, G.
  • Saravanan, M.
  • Marimuthu, P.

Abstract

Production process optimization has been considered as one of the essential elements in modern metal mines context. Several operations were started to modify with these resources concern, which mainly includes machining processes. Various technological developments have been evident in these machining processes including electrical discharge machining. However, due to several limitations of conventional process, powder mixed discharge machining has been brought into the research realm. Recent years, many applications can be found under the mining sector. Despite of various perspectives have been considered but concerning with increase of mining process through optimizing its parameters are limited. In this study, this literature gap has been addressed, with the consideration of optimizing the production process parameters optimization of metal mines, in which concentrations of the reinforcements and peak current are considered as input parameters. The performance of the proposed parameters has been measured with the outputs including surface quality, surface roughness, material removal rate and tool wear rate. Various behavior analysis was done to identify the effective process parameters with resource optimization objective. Totally, ten different combination of process parameters were studied through numerical analysis in addition with experimental studies. Finally, the results revealed that PP2 is the best process parameter for achieving better performance. Further, the necessary future direction to explore more scientific potential on the concern topic has been discussed.

Suggested Citation

  • Rajkumar, G. & Saravanan, M. & Marimuthu, P., 2023. "Developing a numerical model to analyze the production process of PMEDM," Resources Policy, Elsevier, vol. 80(C).
  • Handle: RePEc:eee:jrpoli:v:80:y:2023:i:c:s030142072200589x
    DOI: 10.1016/j.resourpol.2022.103146
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    References listed on IDEAS

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    1. Mancini, Lucia & Sala, Serenella, 2018. "Social impact assessment in the mining sector: Review and comparison of indicators frameworks," Resources Policy, Elsevier, vol. 57(C), pages 98-111.
    2. Chenhao Zhou & Qitong Zhao & Haobin Li, 2021. "Simulation optimization iteration approach on traffic integrated yard allocation problem in transshipment terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 663-688, September.
    3. Jiskani, Izhar Mithal & Cai, Qingxiang & Zhou, Wei & Lu, Xiang, 2020. "Assessment of risks impeding sustainable mining in Pakistan using fuzzy synthetic evaluation," Resources Policy, Elsevier, vol. 69(C).
    4. Liang, Jinhao & Irfan, Muhammad & Ikram, Muhammad & Zimon, Dominik, 2022. "Evaluating natural resources volatility in an emerging economy: The influence of solar energy development barriers," Resources Policy, Elsevier, vol. 78(C).
    5. Pérez, Claudia & Claveria, Oscar, 2020. "Natural resources and human development: Evidence from mineral-dependent African countries using exploratory graphical analysis," Resources Policy, Elsevier, vol. 65(C).
    6. Pamela C. Nolz, 2021. "Optimizing construction schedules and material deliveries in city logistics: a case study from the building industry," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 846-878, September.
    7. Stijns, Jean-Philippe C., 2005. "Natural resource abundance and economic growth revisited," Resources Policy, Elsevier, vol. 30(2), pages 107-130, June.
    8. Gulley, Andrew L. & McCullough, Erin A. & Shedd, Kim B., 2019. "China's domestic and foreign influence in the global cobalt supply chain," Resources Policy, Elsevier, vol. 62(C), pages 317-323.
    9. Zhang, Haihua & Yang, Dong & Tam, Vivian W.Y. & Tao, Yao & Zhang, Guomin & Setunge, Sujeeva & Shi, Long, 2021. "A critical review of combined natural ventilation techniques in sustainable buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    10. Yang, Xiao & Anser, Muhammad Khalid & Yusop, Zulkornain & Abbas, Shujaat & Khan, Muhammad Azhar & Zaman, Khalid, 2022. "Volatility in mineral resource pricing causes ecological footprints: A cloud on the horizon," Resources Policy, Elsevier, vol. 77(C).
    11. Long, Ruyin & Li, Haifeng & Wu, Meifen & Li, Wenbo, 2021. "Dynamic evaluation of the green development level of China's coal-resource-based cities using the TOPSIS method," Resources Policy, Elsevier, vol. 74(C).
    12. Ji Quan & Xiaofeng Wang & Xianjia Wang & De Xia & Jian-Bo Yang, 2022. "Performance optimization of supply chain based on cooperative contract with disappointment-aversion strategic consumers," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 408-428, June.
    13. An, Sufang & Gao, Xiangyun & An, Haizhong & Liu, Siyao & Sun, Qingru & Jia, Nanfei, 2020. "Dynamic volatility spillovers among bulk mineral commodities: A network method," Resources Policy, Elsevier, vol. 66(C).
    14. Irfan, Muhammad & Elavarasan, Rajvikram Madurai & Ahmad, Munir & Mohsin, Muhammad & Dagar, Vishal & Hao, Yu, 2022. "Prioritizing and overcoming biomass energy barriers: Application of AHP and G-TOPSIS approaches," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    15. Oguzhan VICIL, 2022. "Cost optimization in the $$(S-1, S)$$ ( S - 1 , S ) backorder inventory model with two demand classes and rationing," Flexible Services and Manufacturing Journal, Springer, vol. 34(1), pages 101-124, March.
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