Enhancing cutting tool sustainability based on remaining useful life prediction

Author:

Sun Huibin,Liu Yang,Pan Junlin,Zhang Jiduo,Ji Wei

Funder

National Natural Science Foundation of China

key R&D program of Shaanxi Province

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference44 articles.

1. Improving Sustainability of Machining Operation as a System Endeavor Chapter 1 in Book: “Measurement in Machining and Tribology”;Astakhov,2017

2. Cutting Tool Sustainability Chapter 2 in Book: “Sustainable Manufacturing.”;Astakhov,2010

3. Machinability: Existing and Advanced Concepts, Chapter 1 in Book: Machinability of Advanced Materials;Astakhov,2014

4. DeGarmo’s Materials and Processes in Manufacturing;Black,2007

5. Application of sustainable techniques in metal cutting for enhanced machinability: a review;Chetan;J. Clean. Prod.,2015

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2. Sustainable CNC Machining Operations, A Review;Sustainable Operations and Computers;2024-01

3. CNC milling cutters condition monitoring based on empirical wavelet packet decomposition;The International Journal of Advanced Manufacturing Technology;2023-11-03

4. Remaining Useful Life Prediction for Heterogeneous Wearing Cutting Tools Based on Inverse Gaussian Process and Bayesian Inference;2023 5th International Conference on System Reliability and Safety Engineering (SRSE);2023-10-20

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

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