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Simulation analysis of dual mass model of machine tool guide rail's crawling problem
Published:2022-08-17 author:ZHOU Yang, XING Cheng-hao, ZHAO Xian-min, et al. Browse: 642 Check PDF documents
Simulation analysis of dual mass model of 
machine tool guide rail's crawling problem


ZHOU Yang1, XING Cheng-hao2, ZHAO Xian-min1, MA Zi-yin1, FANG Yi1

(1.Faculty of Physics, East of China University of Science and Technology, Shanghai 200237, China; 
2.Faculty of Mechanical and Power Engineering, East of China University of Science and 
Technology, Shanghai 200237, China)


Abstract: Crawling is a common phenomenon in machine tools, which is not conducive to the work of machine tools, and can directly affect the machining accuracy and quality of machine tools. Aiming at this problem, the factors affecting the crawling of machine tool guide rails were studied. Firstly,a breakthrough was sought on the basis of existing research on single mass crawling model. Dual mass conveyor belt system model was selected to study the crawling phenomenon. Secondly, the simulation was carried out by ADAMS. Finally, the simulation results were processed to explore and analyze. At the same time,following the principle of control variables, by changing the parameters one by one, the speed time curve of the object under different conditions was obtained. And the speed fluctuation, maximum speed error and ripple rate were selected as the evaluation indexes of crawling. The change curve of speed error with time was drawn, the ripple rate was calculated, and the crawling degree of the object was compared and analyzed. The results indicate that in order to effectively suppress crawling, the methods of reducing system mass, increasing damping, selecting the best stiffness value, increasing driving speed and reducing the difference between dynamic friction coefficient and static friction coefficient can be adopted.

Key words: influencing factors of machine tool rail crawling; machine tool machining accuracy; dual mass conveyor belt system model; evaluation index; numerical control machine tool; ADAMS



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