Amirkabir University of Technology Amirkabir Journal of Mechanical Engineering 2008-6032 52 3 2018 09 19 Investigation and Optimization Flat Lapping Process Using Non-Dominated Sorting Genetic Algorithm II Investigation and Optimization Flat Lapping Process Using Non-Dominated Sorting Genetic Algorithm II 669 686 3082 10.22060/mej.2018.14421.5853 FA Mohammad Shafiei Alavijeh Department of Mechanical Engineering, University of Birjand, Birjand, Iran Hossein Amirabadi mechanical engineering department- university of birjand- birjand -Iran Journal Article 2018 05 08 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. 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. https://mej.aut.ac.ir/article_3082_f14bc21be7eaeed046fed206a492e652.pdf