中国机械工程2016，Vol.27Issue(20)：2765-2772,2773,9.DOI:10.3969/j.issn.1004-132X.2016.20.013
一种新的预测铣刀刀尖频响函数的方法
A New Prediction Method of Tool Point Frequency Response Function for Milling Cutters
摘要
Abstract
To predict tool point frequency response function of milling cutters accurately and rap-idly,a new tool point frequency response function prediction method was proposed,which was based on IRCSA to identify j oint parameters of holder-tool.Firstly,the j oint parameters of holder-tool chan-ging with the frequency were obtained by calculating frequency response function matrixes of holder end and tool point based on the mathematical models,and applying IRCSA.Secondly,the natural fre-quency of tool point frequency response function was determined,which was sensitive to variations of the complex stiffness matrixes of holder-tool j oints by Cuckoo search algorithm and finite element a-nalysis.At last,the j oint parameters under the determined frequency were taken as the result of the complex stiffness matrix,which was used to predict the tool point frequency response function.To confirm the presented theory,a carbide cylindrical rod,2 fluted milling cutter and 4 fluted milling cutter were taken as examples,and the predicted tool point frequency response functions based on the new method and Cuckoo search algorithm of them were compared with measured ones.It is experi-mentally demonstrated that the new method has high prediction precision and is time-saving,the er-rors between the natural frequencies of the predicted tool point frequency response functions based on the new method and measured ones are within 5%,and time the new method used is about 1% of the Cuckoo search algorithm used.关键词
刀尖点频响函数/逆响应耦合子结构分析(IRCSA)/结合面复刚度矩阵/Cuckoo search算法/预测Key words
tool point frequency response function/inverse receptance coupling substructure anal-ysis(IRCSA)/complex stiffness matrix of holder-tool joint/Cuckoo search algorithm/prediction分类
机械制造引用本文复制引用
朱坚民,何丹丹,田丰庆,赵全龙..一种新的预测铣刀刀尖频响函数的方法[J].中国机械工程,2016,27(20):2765-2772,2773,9.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(12DZ2252300) （12DZ2252300）
