Improving Machine Tool Dynamic Performance Using Modal Prediction and Sensitivity Analysis Method

被引：6

作者：

Li T. ^{[1
]}

Wu C. ^{[1
]}

Shen L. ^{[1
]}

Kong X. ^{[2
]}

Ding X. ^{[1
]}

机构：

[1] School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai

[2] Shenyang Machine Tool (Group) Design and Research Institute Co., Ltd., Shenyang

来源：

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2019年 / 55卷 / 07期

关键词：

Dynamic performance; Experimental modal analysis; Machine tool; Modal prediction; Sensitivity analysis; Structural dynamic modificati;

D O I：

10.3901/JME.2019.07.178

中图分类号：

学科分类号：

摘要：

Based on machine test data, test mode analysis and sensitivity calculation, a design method is proposed to improve the dynamic performance of the machine tool, in which the natural frequencies of the machine tool and the amplitude of frequency response function are taken as the research objects. Firstly, the stiffness and mass sensitivity with respect to natural frequency are calculated to find weaknesses position of the structures, for the main components and the whole machine tool, respectively. Secondly, the more reasonable stiffness and mass are deduced based on the proposed method for the weaken structures. Thirdly, the improved scheme is modified by the LMS_Test.lab software and the reliability of the results is ensured by the modal analysis criterion (MAC). The method is applied to the machine tool design, and the simulation results show that the new machine tool dynamic performances are improved with the increased natural frequencies and the decreased amplitudes. © 2019 Journal of Mechanical Engineering.

引用

页码：178 / 186

页数：8

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