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Tool life prediction using Bayesian updating. Part 1: Milling tool life model using a discrete grid method

  • Published:2014-01 Issue:1 Volume:38 Page:9-17
  • ISSN:0141-6359
  • Container-title:Precision Engineering
  • language:en
  • Short-container-title:Precision Engineering

Author:

Karandikar Jaydeep M.,Abbas Ali E.,Schmitz Tony L.

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

1. On the art of cutting metals;Taylor;Transactions of the ASME,1906

2. Determining optimal replacement time for metal cutting tools;Vagnorius;European Journal of Operational Research,2010

3. Bayesian and regression approaches to on-line prediction of residual tool life;Wiklund;Quality and Reliability Engineering International,1998

4. Cutting-tool reliability assessment in variable machining conditions;Liu;IEEE Transactions on Reliability,1996

5. Tribology of metal cutting;Astakhov,2006

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1. Application of Image Processing for Tool Flank Wear Measurement and Optimization Using the Taguchi Method;Arabian Journal for Science and Engineering;2024-09-12

2. A review of cutting tool life prediction through flank wear monitoring;International Journal of Quality & Reliability Management;2024-05-31

3. A New Prediction Method of Tool Life Considering Cognitive Uncertainty by Delayed Rejection Adaptive Sampling;2023 IEEE 19th International Conference on Automation Science and Engineering (CASE);2023-08-26

4. Tool Condition Monitoring Methods Applicable in the Metalworking Process;Archives of Computational Methods in Engineering;2023-07-22

5. Tool life prediction via SMB-enabled monitor based on BPNN coupling algorithms for sustainable manufacturing;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2023
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