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

doi:10.3901/JME.2019.07.178

Abstract

Abstract: 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.

Key words: dynamic performance, experimental modal analysis, machine tool, modal prediction, sensitivity analysis, structural dynamic modification

CLC Number:

TG502
TH122

LI Tianjian, WU Chenfan, SHEN Lei, KONG Xiangzhi, DING Xiaohong. Improving Machine Tool Dynamic Performance Using Modal Prediction and Sensitivity Analysis Method[J]. Journal of Mechanical Engineering, 2019, 55(7): 178-186.

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