Structural Optimization Simulation of Bearing Polishing Machine and Intelligent Optimization System Design for Polishing Process Parameters

This paper proposes a general solution to improve the process of bearing polishing, a key operation in precision machining. The paper is centered on the combination of structural optimization through the use of advanced simulation tools and process parameter adjustment through the use of intelligent optimization. The study emphasizes the importance of machine setup and operating conditions for improving bearing quality and manufacturing efficiency. The study delves into how simulation techniques can be used to optimize the design of the structural components of the machine for maximum performance, accuracy, and durability. Furthermore, the article investigates how machine learning algorithms can be used to dynamically adjust polishing parameters to achieve optimal results in real time. By combining two leading-edge technologies, smart process control and structural optimization, the platform has the potential to significantly improve process performance, reduce cost of production, and ensure consistency of the final product. Combined strategy is the foundation of developing next-generation automation and intelligent manufacturing platforms that will transform precision machining technology.