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工程设计学报
Chinese Journal of Engineering Design  2021, Vol. 28 Issue (3): 312-320    DOI: 10.3785/j.issn.1006-754X.2021.00.045
Design for Quality     
Identification method and application of weak modules of machine tool based on incremental analysis method
TANG Wei-li, CHEN Yong-liang, LIU Li-ye
School of Mechanical Engineering， Tianjin University， Tianjin 300354， China
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Abstract  The rigidity of the tandem machine tool is restricted by the weakest module with the smallest rigidity. In order to improve the rigidity of the machine tool, a new method for identifying weak modules of the machine tool is proposed. Firstly, the modular design method was used to divide the machine tool into modules. Then, the smallest module including the spindle was taken as the basic module, and the modules in the same series structure were added one by one; by analyzing the deformation increment of the structure after adding a module, the weak module of the machine tool was determined. Finally, the structure of the identified weak module was improved. Taking the overall quality, X, Y, Z direction deformation and dynamic characteristics of the machine tool as evaluation indexes, the fuzzy comprehensive evaluation method based on the entropy weight method was used to compare the performance of the machine tool before and after structure improvement, so as to verify the feasibility of the proposed method. The results of weak module identification example of the C-type friction stir welding machine tool showed that, the proposed method could not only accurately identify the weak module of the machine tool, but also accurately obtain the weak direction of the weak module. The research results can lay a theoretical foundation for the improvement of machine tool structures.

Received: 26 August 2020      Published: 28 June 2021
CLC:  TH 165  
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Cite this article:

TANG Wei-li, CHEN Yong-liang, LIU Li-ye. Identification method and application of weak modules of machine tool based on incremental analysis method. Chinese Journal of Engineering Design, 2021, 28(3): 312-320.

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https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2021.00.045     OR     https://www.zjujournals.com/gcsjxb/Y2021/V28/I3/312


基于增量分析法的机床薄弱模块识别方法及应用

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