Stiffness influential factors-based dynamic modeling and its parameter identification method of fixed joints in machine tools

被引：186

作者：

Mao, Kuanmin ^{[2
]}

Li, Bin ^{[2
]}

Wu, Jun ^{[1
]}

Shao, Xinyu ^{[2
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Naval Architecture & Ocean Engn, Wuhan 430074, Peoples R China

[2] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE | 2010年 / 50卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Fixed joints; Dynamic modeling; Modal analysis; Parameter identification; Finite element model; CONTACT;

D O I：

10.1016/j.ijmachtools.2009.10.017

中图分类号：

T [工业技术];

学科分类号：

120111 [工业工程];

摘要：

A universal dynamic model of fixed joints is built through considering the relative motion between the sub-structures of the fixed joints and the coupling among various degrees of freedom. The dynamic model may accurately reflect the dynamic characteristics of the joints. Based on the inverse relationship between the frequency response function matrix and the dynamic stiffness matrix of a Multi-Degree-Of-Freedom system, a high-accuracy parameter identification method is proposed to recognize the dynamic model parameters of the joints using the dynamic test data of the whole structure including the joints. The error between the theoretical and experimental results of the model is less than 10%, while the error of the Yoshimura model is three times bigger than that of the model. The effectiveness and accuracy of the dynamic model and its parameter identification have been validated. The establishment of the model will provide a theoretical foundation for the precisely dynamic modeling of the CNC Machine Tool. Crown Copyright (C) 2009 Published by Elsevier Ltd. All rights reserved.

引用

页码：156 / 164

页数：9

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