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

Translated title of the contribution: Prediction of Blade Distortion Induced by Milling Residual Stresses Based on Clamping Force Monitoring

Junteng Wang, Dinghua Zhang, Baohai Wu, Ming Luo

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Translated title of the contributionPrediction of Blade Distortion Induced by Milling Residual Stresses Based on Clamping Force Monitoring
Original languageChinese (Traditional)
Pages (from-to)241-248
Number of pages8
JournalJixie Gongcheng Xuebao/Journal of Mechanical Engineering
Volume54
Issue number19
DOIs
StatePublished - 5 Oct 2018

Fingerprint

Dive into the research topics of 'Prediction of Blade Distortion Induced by Milling Residual Stresses Based on Clamping Force Monitoring'. Together they form a unique fingerprint.

Cite this