Multi-objective optimization of machining parameters for hard whirlwind milling of screw

被引：0
|
作者：
He Y. [1 ]
Yu P. [1 ]
Wang L. [1 ]
Li Y. [1 ]
Wang Y. [2 ]
机构：
[1] State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing
[2] School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2018年 / 24卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Hard whirlwind milling; Machining energy; Machining performance; Multi-objective optimization problem;
D O I：
10.13196/j.cims.2018.04.009
中图分类号：
学科分类号：
摘要：
To research the coordination optimization between machining energy and machining performance for hard whirlwind milling of screw, the multi-objective optimization method considering specific energy consumption, surface roughness and surface residual stress was proposed. According to the Box-Behnken experiments, specific energy consumption, surface roughness and surface residual stress were modeled with Response Surface Methodology (RSM) respectively. Based on the above models, the multi-objective optimization model was established by taking machining parameters of whirlwind milling as input variables, and specific energy consumption, surface roughness and surface residual stress as optimization objectives. The Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ) was used to solve the multi-objective optimization model, and the effectiveness of optimization method was demonstrated by comparing the experimental data with optimization results. © 2018, Editorial Department of CIMS. All right reserved.
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页码：894 / 904
页数：10
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