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Multi-Objective Machining Parameter Optimization Based on Strain Signal in Turning Process
1School of Mechanical Engineering, Southeast University, Nanjing 211189, China.
None:
The optimization of machining parameters directly governs machining quality and efficiency. In this paper, tool holder strain signal is proposed to characterize the cutting process. It is found that the overall variation trend of the strain signal is in complete agreement with the cutting force signals, which are then used to optimize the machining parameters. Then, orthogonal cutting experiments are conducted, and the NSGA-II algorithm is used for multi-objective optimization of strain signal, surface roughness and material removal rate. The regression models derived from the orthogonal experiment results serve as the objective functions. The optimal machining parameters are obtained, with a cutting speed of 140.27 m/min, feed per rotation of 0.19 mm, and depth of cut of 1.47 mm, which offer a reference for practical production.
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