Multiobjective optimization of cutting parameters in Ti-6Al-4V milling process using nondominated sorting genetic algorithm-II
Multiobjective optimization of cutting parameters in Ti-6Al-4V milling process using nondominated sorting genetic algorithm-II
复制标题
基于非支配排序遗传算法的Ti-6Al-4V铣削加工切削参数多目标优化-II
DOI：
10.1007/s00170-014-6311-8
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发表时间：
2014-09
影响因子：
3.4
通讯作者：
Wang, Yan
中科院分区：
文献类型：
--
作者：
Yang, Xiaoyong;Ren, Chengzu;Chen, Guang;Wang, Yan
本文根据钛合金铣削参数建立了刀具寿命、残余应力和表面粗糙度的经验模型。经验模型用于优化生产成本和表面质量。由于铣削参数对生产成本和表面质量的影响本质上是相互矛盾的，因此提出了钛合金铣削中的多目标优化问题。考虑到不同的工业需求，建立了两个优化目标，优化目标一以最小化单件生产时间和消耗刀具数量为目标，目标二以最小化单件生产时间、表面粗糙度和残余应力绝对值为目标。此外，考虑两个优化目标的耦合，同时优化生产成本和表面质量。采用非支配排序遗传算法-II（NSGA-II）来求解多目标优化问题，并通过帕累托最优解得到优化结果。这些帕累托最优解用于进行验证实验。实验结果与优化结果对比表明，刀具寿命、表面粗糙度和残余应力的相对误差分别小于5%、7%和5%。所取得的结果可为根据工业需求的工程应用提供有益的指导。
The present article established empirical models of tool life, residual stress, and surface roughness according to titanium alloy milling parameters. The empirical models were utilized for optimization of production cost and surface quality. As the effects of milling parameters on production cost and surface quality are conflicting in nature, the multiobjective optimization problem in titanium alloy milling was proposed. Considering different industrial demands, two optimization objectives were established, optimization objective I aims to minimize the production time per piece and the number of consumed tools, the objective II aims to minimize the production time per piece, surface roughness, and absolute value of residual stress. In addition, the coupling of the two optimization objectives is considered to optimize the production cost and surface quality simultaneously. Nondominated sorting genetic algorithm-II (NSGA-II) was adopted to solve the multiobjective optimization problem and the optimized results were obtained by the Pareto-optimal solutions. These pareto-optimal solutions were used to conduct the verification experiments. Comparison of experimental and optimized results shows that the relative errors of tool life, surface roughness, and residual stress are less than 5, 7, and 5 %, respectively. The achieved results can provide the beneficial guidelines for the engineering applications depending upon industrial demands.
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影响因子：
4.1
作者：
Lazoglu, I.;Ulutan, D.;Kaftanoglu, B.
通讯作者：
Kaftanoglu, B.
DOI：
10.1016/0020-7357(84)90042-8
发表时间：
1984
期刊：
International Journal of Machine Tool Design and Research
影响因子：
--
作者：
A. Abuelnaga;M. El-Dardiry
通讯作者：
A. Abuelnaga;M. El-Dardiry
DOI：
10.1016/j.ijepes.2013.07.006
发表时间：
2014
影响因子：
5.2
作者：
A. Mazza;G. Chicco;A. Russo
通讯作者：
A. Mazza;G. Chicco;A. Russo
DOI：
10.1115/1.1286369
发表时间：
1999-11
期刊：
Manufacturing Science and Engineering
影响因子：
--
作者：
Jeffrey D. Thiele;S. Melkote;R. Peascoe;T. Watkins
通讯作者：
Jeffrey D. Thiele;S. Melkote;R. Peascoe;T. Watkins
DOI：
10.1007/s00170-012-4582-5
发表时间：
2013-07
期刊：
The International Journal of Advanced Manufacturing Technology
影响因子：
--
作者：
K. Moussaoui;M. Mousseigne;J. Senatore;R. Chieragatti;F. Monies
通讯作者：
K. Moussaoui;M. Mousseigne;J. Senatore;R. Chieragatti;F. Monies