Hybrid physics data-driven model-based fusion framework for machining tool wear prediction
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13365-6.pdf
Reference49 articles.
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3. Luo H, Zhang Z, Luo M, and Zhang D (2022) A comparative study of force models in monitoring the flank wear using the cutting force coefficients. Proc Inst Mech Eng Pt C-J Mechan Eng Sci 2022 0(0):1–14
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5. Hua J, Shivpuri R (2005) A cobalt diffusion based model for predicting crater wear of carbide tools in machining titanium alloys. J Eng Mater Technol-Trans Asme 127(1):136–144
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