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

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.

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