Neural Network Based Classifier for Tool Wear Monitoring and Prediction During Machining
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1328-2_29
Reference15 articles.
1. Wang J, Li Y, Hua J, Liu C, Hao X (2021) An accurate tool wear prediction method under different cutting conditions based on network architecture search. Procedia Manuf 54:274–278
2. Marani M, Zeinali M, Kouam J, Songmene V, Mechefske CK (2020) Prediction of cutting tool wear during a turning process using artificial intelligence techniques. Int J Adv Manuf Technol 111(1):505–515
3. Gajate A, Haber R, Del Toro R, Vega P, Bustillo A (2012) Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process. J Intell Manuf 23(3):869–882
4. Zhu D, Zhang X, Ding H (2013) Tool wear characteristics in machining of nickel-based superalloys. Int J Mach Tools Manuf 64:60–77
5. Serin G, Sener B, Ozbayoglu AM, Unver HO (2020) Review of tool condition monitoring in machining and opportunities for deep learning. Int J Adv Manuf Technol 109(3):953–974
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