has been cited by the following article(s):
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[1]
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Research on tool wear classification of milling 508III steel based on chip spectrum feature
The International Journal of Advanced Manufacturing Technology,
2024
DOI:10.1007/s00170-024-13854-8
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[2]
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Research on intelligent tool condition monitoring based on data-driven: a review
Journal of Mechanical Science and Technology,
2023
DOI:10.1007/s12206-023-0637-9
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[3]
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Infrastructure monitoring and quality diagnosis in CNC machining: A review
CIRP Journal of Manufacturing Science and Technology,
2022
DOI:10.1016/j.cirpj.2022.06.001
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[4]
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Multi-response Optimization and Surface Texture Characterization for CNC Milling of Inconel 718 Alloy
Arabian Journal for Science and Engineering,
2020
DOI:10.1007/s13369-019-04324-5
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[5]
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Integrated Tool Condition Monitoring Systems and Their Applications: A Comprehensive Review
Procedia Manufacturing,
2020
DOI:10.1016/j.promfg.2020.05.123
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[6]
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A review of flank wear prediction methods for tool condition monitoring in a turning process
The International Journal of Advanced Manufacturing Technology,
2013
DOI:10.1007/s00170-012-4177-1
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