A review of cutting tool life prediction through flank wear monitoring
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| Udgivet i: | The International Journal of Quality & Reliability Management vol. 42, no. 2 (2025), p. 425-473 |
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| Andre forfattere: | , |
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Emerald Group Publishing Limited
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| Online adgang: | Citation/Abstract Full Text Full Text - PDF |
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MARC
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| 001 | 3161415463 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 0265-671X | ||
| 022 | |a 1758-6682 | ||
| 024 | 7 | |a 10.1108/IJQRM-11-2022-0318 |2 doi | |
| 035 | |a 3161415463 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 14215 |2 nlm | ||
| 100 | 1 | |a Das, Monojit |u Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology Kharagpur, Kharagpur, India | |
| 245 | 1 | |a A review of cutting tool life prediction through flank wear monitoring | |
| 260 | |b Emerald Group Publishing Limited |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a PurposeThe aim of this paper is to review the literature on the prediction of cutting tool life. Tool life is typically estimated by predicting the time to reach the threshold flank wear width. The cutting tool is a crucial component in any machining process, and its failure affects the manufacturing process adversely. The prediction of cutting tool life by considering several factors that affect tool life is crucial to managing quality, cost, availability and waste in machining processes.Design/methodology/approachThis study has undertaken the critical analysis and summarisation of various techniques used in the literature for predicting the life or remaining useful life (RUL) of the cutting tool through monitoring the tool wear, primarily flank wear. The experimental setups that comprise diversified machining processes, including turning, milling, drilling, boring and slotting, are covered in this review.FindingsCutting tool life is a stochastic variable. Tool failure depends on various factors, including the type and material of the cutting tool, work material, cutting conditions and machine tool. Thus, the life of the cutting tool for a particular experimental setup must be modelled by considering the cutting parameters.Originality/valueThis submission discusses tool life prediction comprehensively, from monitoring tool wear, primarily flank wear, to modelling tool life, and this type of comprehensive review on cutting tool life prediction has not been reported in the literature till now. The future suggestions provided in this review are expected to provide avenues to solve the unexplored challenges in this field. | |
| 653 | |a Cutting tools | ||
| 653 | |a Drilling machines (tools) | ||
| 653 | |a Failure | ||
| 653 | |a Tool life | ||
| 653 | |a Milling (machining) | ||
| 653 | |a Turning (machining) | ||
| 653 | |a Machine tools | ||
| 653 | |a Cutting parameters | ||
| 653 | |a Life prediction | ||
| 653 | |a Monitoring | ||
| 653 | |a Boring tools | ||
| 653 | |a Boring mills | ||
| 653 | |a Cutting wear | ||
| 653 | |a Tool wear | ||
| 653 | |a Useful life | ||
| 653 | |a Cutting tool materials | ||
| 700 | 1 | |a Naikan, VNA |u Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology Kharagpur, Kharagpur, India | |
| 700 | 1 | |a Panja, Subhash Chandra |u Department of Mechanical Engineering, Jadavpur University, Kolkata, India | |
| 773 | 0 | |t The International Journal of Quality & Reliability Management |g vol. 42, no. 2 (2025), p. 425-473 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3161415463/abstract/embedded/J7RWLIQ9I3C9JK51?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3161415463/fulltext/embedded/J7RWLIQ9I3C9JK51?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3161415463/fulltextPDF/embedded/J7RWLIQ9I3C9JK51?source=fedsrch |