Using acoustic emission to characterize friction and wear in dry sliding steel contacts
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Geng, Z., Puhan, D., & Reddyhoff, T. (2019). Using acoustic emission to characterize friction and wear in dry sliding steel contacts. Tribology International, 134 394-407. https://doi.org/10.1016/j.triboint.2019.02.014
Acoustic emission (AE) was recorded during tribological tests on 52,100 steel specimens under different loads. AE signals were transformed to the frequency domain using a Fast Fourier Transform and parameters such as power, RMS amplitude, mean frequency, and energy were analyzed and compared with friction coefficient and wear volume measurements. Results show that certain acoustic frequencies reflect friction while others reflect wear. If frequencies are chosen optimally, AE and friction signals are highly correlated (Pearson coefficients >0.8). SEM and Raman analysis reveal how plastic deformation and oxide formation affect friction, wear and AE simultaneously. AE recordings contains more information than conventional friction and wear volume measurements and are more sensitive to changes in mechanism. This all demonstrates AE's potential as a tool to monitor tribological behavior.
This work was supported by the Overseas Study Program of Jiangsu Higher Education Institutions; the Natural Science Foundation of Jiangsu Province, China (Grant no. BK20160353); the Natural Science Foundation of Jiangsu Higher Education Institutions (Grant no. 16KJB460032); the Key Laboratory of Suzhou (SZS201815); the Top-notch Academic Programs Project of Jiangsu Higher Education Institutions (TAPP) (Grant no. PPZY2015B186) and the Scientific Research Foundation of SIIT (Grant no. 2017kyqd015).
External DOI: https://doi.org/10.1016/j.triboint.2019.02.014
This record's URL: https://www.repository.cam.ac.uk/handle/1810/294892
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Licence URL: https://creativecommons.org/licenses/by-nc-nd/4.0/