Correlation Analysis of Vibration Signal Frequency with Tool Wear During the Milling Process on Martensitic Stainless Steel Material
Author:
Funder
Badan Riset dan Inovasi Nasional
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08397-1.pdf
Reference32 articles.
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2. Ranjan, P.; Hiremath, S.S.: Investigation of coated tool performance on the machinability, surface residual stress and chip morphology of martensitic aisi 420 steel. Arab. J. Sci. Eng. (2021). https://doi.org/10.1007/s13369-021-06303-1
3. Mohanraj, T.; Shankar, S.; Rajasekar, R.; Sakthivel, N.R.; Pramanik, A.: Tool condition monitoring techniques in milling process—a review. J. Market. Res. 9(1), 1032–1042 (2020). https://doi.org/10.1016/j.jmrt.2019.10.031
4. Ntemi, M.; Paraschos, S.; Karakostas, A.; Gialampoukidis, I.; Vrochidis, S.; Kompatsiaris, I.: Infrastructure monitoring and quality diagnosis in CNC machining: a review. CIRP J. Manuf. Sci. Technol. 38, 631–649 (2022). https://doi.org/10.1016/j.cirpj.2022.06.001
5. Sick, B.: On-line and indirect tool wear monitoring in turning with artificial neural networks: a review of more than a decade of research. Mech. Syst. Signal Process. 16(4), 487–546 (2002). https://doi.org/10.1006/mssp.2001.1460
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