基于装夹力监测的叶片类零件铣削残余应力变形感知预测

doi:10.3901/JME.2018.19.241

机械工程学报 ›› 2018, Vol. 54 ›› Issue (19): 241-248.doi: 10.3901/JME.2018.19.241

• 制造工艺与装备 • 上一篇

基于装夹力监测的叶片类零件铣削残余应力变形感知预测

王骏腾, 张定华, 吴宝海, 罗明

西北工业大学现代设计与集成制造技术教育部重点实验室西安 710072

收稿日期:2017-10-12 修回日期:2018-03-22 出版日期:2018-10-05 发布日期:2018-10-05
通讯作者: 吴宝海(通信作者),男,1975年出生,博士,教授。主要研究方向为自由曲面多轴加工、智能加工。E-mail:wubaohai@nwpu.edu.cn
作者简介:王骏腾,男,1990年出生,博士研究生。主要研究方向为薄壁件精密加工。E-mail:wangjunteng@sina.cn;张定华,男,1958年出生,教授,博士研究生导师。主要研究方向为多坐标数控加工理论、高速切削工艺、叶片叶盘类零件的高效精密数控加工及无损检测。Email:dhzhang@nwpu.edu.cn;罗明,男,1983年出生,博士,副研究员。主要研究方向为自由曲面多轴加工、智能加工。E-mail:luoming@nwpu.edu.cn
基金资助:
国家自然科学基金资助项目（51475382）。

Prediction of Blade Distortion Induced by Milling Residual Stresses Based on Clamping Force Monitoring

WANG Junteng, ZHANG Dinghua, WU Baohai, LUO Ming

The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an 710072

Received:2017-10-12 Revised:2018-03-22 Online:2018-10-05 Published:2018-10-05

摘要/Abstract

摘要： 针对叶片类薄壁零件铣削加工装夹卸载后发生的残余应力变形难以准确预测的难题，提出了基于装夹力监测的残余应力变形感知预测方法。建立了残余应力变形感知预测的数学模型，对感知预测过程进行了数学表述；基于超静定结构理论提出了残余应力变形感知预测的求解方法，利用变形协调方程实现了基于装夹力变化的残余应力变形等效求解；分析了几种典型装夹形式的感知过程，提出了残余应力变形感知预测的实现步骤；搭建了残余应力变形感知预测试验平台，将叶片简化为薄板模型进行了铣削残余应力变形感知预测试验，试验结果表明，装夹卸载后残余应力变形感知预测值与实测值相比误差为13%，具有较好的一致性，从而验证了该方法的有效性。

关键词: 残余应力变形, 感知预测, 铣削, 叶片, 装夹力监测

Abstract: The distortion of blades after releasing clamps which was caused by machining induced residual stresses is very difficult to predict accurately. To solve this problem, a method of predicting distortion induced by milling residual stresses based on clamping force monitoring is proposed. Firstly, a mathematic model of distortion prediction is established, and then the solving method is put forward based on the theory of statically indeterminate structure. Secondly, the feasibility of several common fixtures to predict distortion induced by residual stresses with the method is discussed, and the steps to realize the prediction method are given. Finally, an experiment is conducted to verify the validity of the method. The results show that the prediction error is about 13% compared with the measured value.

Key words: blades, clamping force monitoring, distortion caused by residual stresses, milling, prediction

中图分类号:

TG543

王骏腾, 张定华, 吴宝海, 罗明. 基于装夹力监测的叶片类零件铣削残余应力变形感知预测[J]. 机械工程学报, 2018, 54(19): 241-248.

WANG Junteng, ZHANG Dinghua, WU Baohai, LUO Ming. Prediction of Blade Distortion Induced by Milling Residual Stresses Based on Clamping Force Monitoring[J]. Journal of Mechanical Engineering, 2018, 54(19): 241-248.

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基于装夹力监测的叶片类零件铣削残余应力变形感知预测

Prediction of Blade Distortion Induced by Milling Residual Stresses Based on Clamping Force Monitoring

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