Optimization Analysis of Structural Parameters for Ball Screw Precision Retention Based on Advanced Neural Fuzzy Network

IEEE Access

Zhifeng Liu¹  Qiang Cheng¹  Baobao Qi¹  Congbin Yang¹ 

[1] Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China;

关键词: Ball screw;    precision retention;    structural parameters;    optimization analysis;    advanced neural fuzzy network;   

DOI  :  10.1109/ACCESS.2020.3034597

来源: DOAJ

【 摘 要 】

Ball screws are used as precision transmission components in a wide range of industries. The combination of sliding/rolling motion can influence the degree of precision degradation of the ball screw. Optimization analysis of structural parameters can reduce precision loss and improve precision retention. This article presents an optimization analysis of the ball screw to improve precision retention under mixed sliding-rolling motion. Precision loss of the ball screw due to mixed sliding-rolling motion was calculated. In addition, the effects of operating conditions and structural parameters on the precision loss were analyzed. Factors affecting precision loss of the ball screw under mixed motion were determined and the objective function to characterize precision retention was established according to imposed constraints. Structural parameter optimization of the ball screw based on an advanced neural fuzzy network can reduce the average rate of precision loss by approximately 18.36% and improve precision retention.

【 授权许可】

Unknown