Tool Wear Monitoring and Life Prediction Analysis

Author:

Lu Xuxiang,Wang Chen,Liu Chao,Zhang Xiufeng,Tang Yu,Zhou Zhixiao

Publisher

Springer Singapore

Reference37 articles.

1. Guo, J.C., Li, A.H.: Advances in monitoring technology of tool wear condition. Tool Eng. 53(05), 3–13 (2019)

2. Wang, L.Q., Li, S.P., Lv, Z.J.: A review of tool failure condition monitoring research. Mech. Elect. Technol. 04, 110–114 (2019)

3. Luo, H., Zhang, D.H., Luo, M.: The tool wear and remaining useful life estimation of difficult-to-machine aerospace alloys: a review. China Mech. Eng. (2021)

4. Kasim, M.S., et al.: Wear mechanism and notch wear location prediction model in ball nose end milling of Inconel 718. Wear, Elsevier 302(1–2), 1171–1179 (2013)

5. Jaharah, S.A., et al.: Prediction of tool life when end milling of Ti6Al4V alloy using hybrid learning system. Arab. J. Sci. Eng. 39(6), 5095–5111 (2014)

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