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A comparative study on combined compromise solution (CoCoSo)-based optimization of drilling of aluminium metal matrix composites in fuzzy environments

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Abstract

Due to excellent mechanical and metallurgical properties, metal matrix composites (MMCs) are in high demand for numerous engineering applications across multiple industrial sectors. However, presence of reinforcement particles in MMCs adversely affects their machinability leading to increased tool wear and cutting force requirement. To simultaneously achieve better product quality and higher tool life, there is a need to determine the optimal values for various drilling parameters affecting those characteristics. This paper proposes application of the Combined Compromise Solution (CoCoSo) method in five different fuzzy environments for solving the parametric optimization problems of two aluminium MMC (Al-MMC) drilling processes. Fuzzy CoCoSo, intuitionistic fuzzy CoCoSo, Pythagorean fuzzy CoCoSo, neutrosophic fuzzy CoCoSo and hesitant fuzzy CoCoSo are applied to search out the optimal combinations of the input parameters for the considered Al-MMC drilling operations. For the first Al-MMC drilling process, all the five approaches recommend higher helix angle = 40°, moderate spindle speed = 500 rpm and lower feed rate = 0.1 mm/rev as the optimal combination to simultaneously optimize surface roughness, cutting force and drilling temperature. Furthermore, a similar trend is also observed in the results of the second Al-MMC drilling process, where all these methods propose relatively moderate spindle speed = 2000 rpm and lower feed rate = 50 mm/min along with 3% mica reinforcement and a polycrystalline diamond drilling tip to achieve the best drilling performance. Finally, the results are compared with those achieved using the standalone CoCoSo and other fuzzy-based approaches. It is observed that CoCoSo method can effectively determine the optimal parametric combinations and the results are quite consistent throughout all the fuzzy environments under consideration. Furthermore, the fuzzy CoCoSo approaches can effectively deal with the subjectivity in opinions of the decision makers (stakeholders) while assigning relative importance to the responses according to their requirements.

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  1. Production Engineering Department, Jadavpur University, Kolkata, West Bengal, India

    Srinjoy Chatterjee & Shankar Chakraborty

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  1. Srinjoy Chatterjee
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Chatterjee, S., Chakraborty, S. A comparative study on combined compromise solution (CoCoSo)-based optimization of drilling of aluminium metal matrix composites in fuzzy environments. Int J Interact Des Manuf (2024). https://doi.org/10.1007/s12008-024-01743-z

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