Investigation and Optimization Flat Lapping Process Using Non-Dominated Sorting Genetic Algorithm II

Document Type : Research Article

Authors

1 Department of Mechanical Engineering, University of Birjand, Birjand, Iran

2 mechanical engineering department- university of birjand- birjand -Iran

Abstract

Lapping process is one of the most important finishing processes in order to achieve a flat surface. In this paper, effects of parameters such as abrasive particle size, abrasive particles concentration in slurry, and lapping pressure on material removal rate, flatness and surface roughness were investigated in single sided lapping of flat workpieces made of 440c steel. To conduct experiments, Lapmaster™ 15 lapping machine has been exerted. The most important problem in lapping process is the low material removal rate which causes increase cost and production time. Therefore, in the lapping process, the selection of conditions that in addition to the production of pieces with geometric accuracy and surface roughness needed have a high material removal rate, is very important. In this paper, for the first time, the material removal rate, surface roughness and flatness lapped pieces have been optimized using non[1]dominated sorting genetic algorithm II and, the Pareto optimal solutions were obtained. The results show that non-dominated sorting genetic algorithm II is a useful and powerful tool for optimizing the material removal rate, surface roughness and flatness lapped pieces. Using this optimization algorithm, pieces with surface roughness and flatness requirements can be produced at high material removal rate. As a result, with this optimization algorithm, in addition to creating parts with high quality, the production cost and time are reduced.

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Main Subjects

References

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Amirkabir Journal of Mechanical Engineering
Volume 52, Issue 3
June 2020
Pages 669-686

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