Using acoustic emission to characterize friction and wear in dry sliding steel contacts

被引：51
作者：
Geng, Zhe [1 ]
Puhan, Debashis [2 ]
Reddyhoff, Tom [2 ]
机构：
[1] Suzhou Inst Ind Technol, Dept Precis Mfg Engn, Suzhou 215104, Peoples R China
[2] Imperial Coll London, Tribol Grp, Dept Mech Engn, Exhibit Rd, London SW7 2AZ, England
来源：
TRIBOLOGY INTERNATIONAL | 2019年 / 134卷
关键词：
Acoustic emission; Friction; Wear; Monitoring; Steel; SIGNALS; BEARING; IDENTIFICATION; MECHANISMS; BEHAVIOR; FEATURES;
D O I：
10.1016/j.triboint.2019.02.014
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
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.
引用
收藏
页码：394 / 407
页数：14
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