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This paper presents an experimental study of the application of acoustic emission (AE) signal for tool wear
monitoring in the milling of Ti-6Al-4V alloy. Experiments were conducted and the corresponding AE signals were
captured under different tool wear status. Initial analysis reveals that the AE signal contains useful information
about the mechanism of the tool wear and can reflect the changing of the cutting parameters as well which show
that the AE signal can be used as a reliable means for accurate tool wear monitoring. The comparison with other
kinds of sensor signals also shows that the AE signal is more suitable for online tool wear monitoring in industrial
environment. Based on these conclusions, AE signal can be used as a reliable signal for accurate tool wear
monitoring.
Yinhu Cui,Guofeng Wang,Dongbiao Peng,Xiaoliang Feng,Lu Zhang, andChang Liu
"Study on accurate tool wear monitoring based on acoustic emission signal", Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 79970J (24 May 2011); https://doi.org/10.1117/12.888609
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Yinhu Cui, Guofeng Wang, Dongbiao Peng, Xiaoliang Feng, Lu Zhang, Chang Liu, "Study on accurate tool wear monitoring based on acoustic emission signal," Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 79970J (24 May 2011); https://doi.org/10.1117/12.888609