基于Kriging插值和遗传算法钛合金车削加工参数优化

刘春景; 唐敦兵; 何华; 陈兴强

基于Kriging插值和遗传算法钛合金车削加工参数优化

1.
南京航空航天大学机电学院南京 210016;
2.
蚌埠学院机电系蚌埠 233030

基金项目:

国家自然科学基金项目(51175262)

安徽高校省级科学研究项目(KJ2013Z192)

教育部新世纪优秀人才支持计划项目(NCET-08)

安徽省高等学校优秀青年基金项目(2010SQRL117)资助

详细信息

作者简介:
刘春景(1975-)，博士，副教授，研究方向为现代机械设计理论与方法、先进制造技术，liusun7575@163.com

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- 文章访问数: 210
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- 被引次数: 0
出版历程
- 收稿日期: 2012-07-08
- 刊出日期: 2015-06-10

The Optimization for the Titanium Alloys Turning Based on the Kriging Interpolation and Genetic Algorithm

1.
College of Mechanical and Electronic Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016;
2.
Department of Mechanical and Electronic Engineering,College of Bengbu,Bengbu 233030

摘要

摘要: 钛合金较差的切削加工性不利于保证好的表面完整性,影响钛合金零件的使用性能。基于田口方法建立钛合金车削试验模型,考察切削用量对表面粗糙度、刀具寿命、切削力和材料去除率的影响规律,以材料去除率为目标函数,以表面粗糙度、刀具寿命和切削力为约束函数,基于Krig-ing插值的响应曲面法和遗传算法构建了钛合金车削参数优化模型。研究结果表明:钛合金车削过程参数最优的水平组合为v3f1ap1r1E3,优化结果与初始试验相比,表面粗糙度、刀具寿命、切削力和材料去除率分别改善了75.86%、65.16%、36.41%和557.91%。
- 钛合金 /
- 车削试验模型 /
- Kriging插值 /
- 遗传算法 /
- 优化
Abstract: The poor machinability of titanium alloys has limited good surface integrity which affects the processingand servicing properties.The experimental model for the titanium alloy turning based on the Taguchi method wereproposed to express the correlation between the processing variables and the responses.With material removal rateas objective function and surface roughness, tool life, cutting force as constraint function, the optimization procedure of titanium alloy turning was presented based on the response surface method via Kriging interpolation and genetic algorithm.The results indicate that the optimum parameter levels for different variables have been suggestedas v3 f3a p1 r1 E3.Comparing to the initial experiment, surface roughness, tool life, cutting force and material removalrate of the optimal condition are improved with 75.86%, 65.16%, 36.41% and 557.91%, respectively.
- titanium alloy /
- turning experimental model /
- Kriging interpolation /
- genetic algorithms /
- optimization

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参考文献(22)

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