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响应面模型与混合优化算法相结合的锯片参数优化设计

田永军 段国林 夏晓光 张萼

中国机械工程2016,Vol.27Issue(22):3025-3031,7.
中国机械工程2016,Vol.27Issue(22):3025-3031,7.DOI:10.3969/j.issn.1004-132X.2016.22.008

响应面模型与混合优化算法相结合的锯片参数优化设计

Optimization Design of Low Noise Circular Saw Parameters Combining Response Surface Model with Hybrid Optimization Algorithm

田永军 1段国林 1夏晓光 1张萼1

作者信息

  • 1. 河北工业大学,天津,300130
  • 折叠

摘要

Abstract

Focusing on inherent limitations in the traditional optimization methods for structure parameters of low noise circular saw,an optimization combining response surface model with hybrid algorithm was proposed to optimize the design of dynamic rotating blades.Firstly,a set of experimen-tal design data points were extracted by D-optimal experimental design scheme,then the points were calculated respectively by display algorithm for acoustic,stress response and implicit algorithm for de-formation saw blades.Then the corresponding response surface models were set up by the points're-sponses.Finally,these second-order regression models were optimized by adaptive simulated annea-ling and leapfrog algorithm.The results show that under the conditions of safety,by a limited number of value analysis after the optimization,the final structure may reduce the idle noise 4~7 dB.Numeri-cal example indicates that this method is suitable for the optimization design of acoustic properties of rotating cutting tools.

关键词

锯片/响应面模型/混合优化算法/动态/噪声

Key words

circular saw/response surface model/hybrid optimization algorithm/dynamic/noise

分类

机械制造

引用本文复制引用

田永军,段国林,夏晓光,张萼..响应面模型与混合优化算法相结合的锯片参数优化设计[J].中国机械工程,2016,27(22):3025-3031,7.

基金项目

天津市自然科学基金重点资助项目(11JCZDJC23100) (11JCZDJC23100)

河北省自然科学基金资助项目(F2014202241) (F2014202241)

中国机械工程

OA北大核心CSCDCSTPCD

1004-132X

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