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In-process monitoring and analysis of bearing outer race way grinding based on the power signal

Chen, X, Chi, Y and Li, H (2016) In-process monitoring and analysis of bearing outer race way grinding based on the power signal. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 231 (14). pp. 2622-2634. ISSN 2041-2975

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In-Process Monitoring and Analysis of Bearing Outer Race Way Grinding based on the Power Signal-9.pdf - Accepted Version

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Abstract

In production engineering, monitoring of the grinding process is critical for acquiring information on material removal, wheel performance, and workpiece quality. Here, a general model of the power signal and material removal rate is proposed to monitor the internal plunge grinding of a bearing outer race way product. Three continuous grinding cycles after dressing were used to analyse the roughing, semi-finishing, finishing and spark-out process under the same parameters. Based on the actual grinding process, a practical analysis method is applied to improve the general model to predict more accurately the power curve. Finally, estimations of grinding wheel performance and grind quality using the grinding power signal model (GPSM) coefficients are also presented. The experimental results showed that the improved power signal model is capable of solving the industrial problem of multi-stage in-feed grinding cycles and improving grind quality.

Item Type: Article
Uncontrolled Keywords: Internal plunge grinding, bearing outer race way, general power signal model, process monitoring
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering
Publisher: SAGE Publications
Date Deposited: 24 Mar 2016 16:07
Last Modified: 04 Sep 2021 13:07
DOI or ID number: 10.1177/0954405416635032
URI: https://researchonline.ljmu.ac.uk/id/eprint/3328
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