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Journal of Materials Engineering and Performance

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25-04-2022 | Technical Article

Study for Characterizing Grinding Burn of 1045 Steel Based on Nonlinear Ultrasonic Coefficients

Authors: Hanying Mao, Yukun Liu, Hanling Mao, Juncheng Fu, Yan Tang, Xiaokang Li

Published in: Journal of Materials Engineering and Performance | Issue 11/2022

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Abstract

Grinding burn is a common thermal damage phenomenon that causes the degradation of material surface properties. There are now some limitations for the existing methodologies used for grinding burn detection, such as the detection is susceptible to interference and the results lack unified worldwide standards. In the present work, the specimens of 1045 steel were prepared under different grinding conditions, and the degree of the grinding burn was then judged by observing the metallographic structure on the specimen surface. Two nonlinear ultrasonic detection models, critically refracted longitudinal wave (LCR) detection and Rayleigh wave detection, were appropriately established and designed. The experimental results revealed that the ultrasonic nonlinear coefficients of the specimens in various degrees of grinding burn were obviously different in the LCR detection model. Further, the changes of the ultrasonic nonlinear coefficients were mainly related to the variations of the metallographic structure caused by the grinding burn. The grinding burn might be characterized by the ultrasonic nonlinear coefficients of the LCR wave. It is noticed that a newly developed detection method for the grinding burn based on the LCR nonlinear ultrasonic detection would be feasible.

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Title: Study for Characterizing Grinding Burn of 1045 Steel Based on Nonlinear Ultrasonic Coefficients
Authors: Hanying Mao
Yukun Liu
Hanling Mao
Juncheng Fu
Yan Tang
Xiaokang Li
Publication date: 25-04-2022
Publisher: Springer US
Published in: Journal of Materials Engineering and Performance / Issue 11/2022
Print ISSN: 1059-9495
Electronic ISSN: 1544-1024
DOI: https://doi.org/10.1007/s11665-022-06915-0

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