Research on Automatic Judgement of Wheelset Press-Fit Curve

Author:

Xiao Jun1,Han Jian Bin1,Cheng Xin1,Fang Rong1

Affiliation:

1. Wuhan University of Technology

Abstract

This paper presents an automatic judgement method for wheelset press-fit curve, in which thirteen technical conditions are examined for qualified wheelset assembly or not. In order to meet the requirements of Criterion of inspection and repair - railway vehicles [2007]95, some algorithms are designed to identify several traits on press-fit curve, such as force zoom, force decrease, flat line, concave-up shape and so on. In accordance with the Criterion 95 and the algorithms, a quality judgement software attaching to the computer control system in a wheelset assembly machine is developed. The practical application shows that the software’s judgement accuracy is up to 99.4%. Compared with artificial approach, the accuracy, reliability and efficiency of the new judgement method all improve greatly. It also avoids influences of personal factors and makes great sense to the assurance of press-fit quality and transportation security.

Publisher

Trans Tech Publications, Ltd.

Reference9 articles.

1. Criterion of Inspection and Repair- Railway Vehicles.

2. 95.

3. Li Zhi Wang, Yuan Ling Li. The Research and Develop of a CNC Automatic Wheelset Assembly Machine [J]. Railway Quality Control, 2009, (6).

4. Dong Zheng. The Development of Wheelset Press-fit Curve Recorder [D]. Cheng Du: Southwest Jiaotong Universityand, 2003. 6.

5. Railway applications. Wheelsets and bogies. Axles. Product requirement[J], BS EN 13261.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design and Application of Automatic Judgment System for Wheelset Press-Fitting Curve;2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2023-12-08

2. Connection force measurement of precision small interference components using ultrasound;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2023-06-10

3. Intelligent System for Railway Wheelset Press-Fit Inspection Using Deep Learning;Applied Sciences;2021-09-06

4. Prediction of Pressing Quality for Press-Fit Assembly Based on Press-Fit Curve and Maximum Press-Mounting Force;International Journal of Aerospace Engineering;2015

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