基于RSM的空心立铣刀多学科多目标优化设计

赵洪锋; 单忠德; 刘丰; 臧勇

doi:10.3969/j.issn.0258-2724.2015.04.025

基于RSM的空心立铣刀多学科多目标优化设计

doi: 10.3969/j.issn.0258-2724.2015.04.025

赵洪锋^1,2,
单忠德^1, ,,
刘丰¹,
臧勇²

基金项目:

国家科技重大专项资助项目(2012ZX04007011)

详细信息

作者简介:
赵洪锋(1988-),男,博士研究生,研究方向为无模砂型数字化制造技术及装备,E-mail:zhaohongfengbj@163.com

通讯作者:
单忠德(1970-),男,研究员,博士生导师,研究方向为数字化绿色制造技术及智能装备,E-mail:shanzd@cam.com.cn

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出版历程
- 收稿日期: 2015-03-17
- 刊出日期: 2015-08-25

Multidisciplinary Multi-objective Optimization Design of Hollow End Mill Based on Response Surface Method

摘要

摘要: 为了解决无模砂型数字化切削加工过程中不易及时排除砂屑问题,基于气力输送原理设计了一种气动排屑空心立铣刀.首先,结合仿真分析和响应面法,建立了空心立铣刀的多学科多目标优化模型,以获得空心立铣刀的良好静动力学性能和气动排砂性能;其次,采用第二代非支配解排序遗传算法(NSGA-II)得到Pareto优化解集;最后,通过仿真和加工实验验证了优化结果的可靠性.Parero优化结果与初始设计相比,刀尖相对工件总变形量平均减小0.1%,一阶固有频率平均提高0.8%,型腔出口平均风速平均提高10.2%,提高了空心立铣刀综合性能.
- 空心立铣刀 /
- 响应面法 /
- 多学科多目标优化 /
- 遗传算法
Abstract: In order to deal with the difficulty of removing sand chips in digitally machining sand molds without pattern with dry cutting, a hollow end mill was designed that can remove sand chips by pneumatic conveying. First, combined with simulation analysis and response surface method, a multidisciplinary multi-objective optimal model of hollow end mill was established to achieve good static and dynamic performance and good removing chips performance. Then, the Pareto optimal solutions were obtained using non-dominated Sorting Genetic Algorithm II (NSGA-II). Finally, the reliability of optimization results was verified by the simulation and experiments. The Pareto optimal results, compared with the initial design, show that the total deformation of tool nose relative to work piece reduces 0.1% on average, the first-order natural frequency increases averagely 0.8%, and the average wind velocity at the outlet of sand mold cavity increases averagely 10.2%, improving the overall performance of hollow end mill.
- hollow end mill /
- response surface method /
- multidisciplinary multi-objective optimization /
- genetic algorithm

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