中国机械工程Issue(3)：285-292,8.DOI:10.3969/j.issn.1004132X.2015.03.001
一种改进的基于响应耦合子结构法的刀尖点频响函数预测方法
An Improved Tool Point Frequency Response Function Prediction Method Based on RCSA
摘要
Abstract
on RCSA needed to identify the joint parameters of the spindle-holder and holder-tool joints and to The present predicting methods of tool point frequency response function (FRF)based manufacture the artificial tool-holder model,which will result in predicting errors and complexity,ai-ming at these problems,this paper presented an improved tool point FRF predicting method based on the RCSA.This method firstly improved the present substructure separating methods,and separated the machine-spindle-holder-tool structure into three parts:the machine-spindle-holder-partial tool bar,the remaining toolbar and the tool tooth;then improved the method for calculating the rotating FRFs of the machine-spindle-holder-partial tool bar through inverse RCSA and finite difference meth-od by applying modal impact test on the toolbar,and calculated the FRFs of the remaining toolbar and tool tooth using Euler beam theory;finally the tool point FRF was predicted by coupling the three parts’FRFs.Experiments conducted on a machining center show that the predicted and measured y to carry out,it can compute the spindle-holder’s rotating FRFs directly based on the tool modal ex-the predicted and measured FRFs are within 6.9%,the proposed method is feasible,effective and eas-tool point FRFs are in good agreement,the error between the first three order natural frequencies of p e r i m e n t s , a v o i d i n g t h e i d e n t i f i c a t i o n o f t h e j o i n t p a r a m e t e r s a n d t h e m a n u f a c t u r i n g o f t h e h o l d e r m o d e l .关键词
铣刀/刀尖点频响函数/预测/响应耦合子结构法Key words
milling cutter/tool point frequency response function/prediction/receptance coupling substructure analysis (RCSA)分类
机械制造引用本文复制引用
朱坚民,王健,张统超,李孝茹..一种改进的基于响应耦合子结构法的刀尖点频响函数预测方法[J].中国机械工程,2015,(3):285-292,8.基金项目
国家自然科学基金资助项目(50975179) （50975179）
上海市教委科研创新项目(11ZZ136) （11ZZ136）
上海市科委科研计划资助项目(13160502500) （13160502500）
沪江基金资助项目(D14005) （D14005）
