Title: Quality intelligent control method of railway vehicle wheel axle manufacturing process based on part quality index

Authors: Jian-yong Yu; Li-na Wang

Addresses: Zhengzhou Railway Vocational and Technical College, Zhengzhou 450000, China ' Chengdu Vocational and Technical College of Industry, Chengdu 610000, China

Abstract: In order to solve the problems of long control time and low control precision existing in traditional control methods, an intelligent quality control method of railway vehicle axle manufacturing process based on part quality index is proposed. The manufacturing capacity index of railway vehicle axle is determined to build the quality mapping model of axle manufacturing process. The maximum likelihood estimation method is used to estimate the error source parameters of axle manufacturing process and identify the error source. According to the error source identification results, the part quality index is used to intelligently control the manufacturing process quality. The simulation results show that the intelligent control time of the proposed method is within 25 s, and the average control accuracy can reach 97%, indicating that the method has a better intelligent control effect.

Keywords: part quality index; railway vehicle axle; manufacturing process; quality control; maximum likelihood estimation.

DOI: 10.1504/IJMTM.2022.128726

International Journal of Manufacturing Technology and Management, 2022 Vol.36 No.5/6, pp.326 - 338

Received: 16 Apr 2021
Accepted: 27 Oct 2021
Published online: 02 Feb 2023 *

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