Prediction of cutting force in turning process: An experimental and fuzzy approach
Author:
Affiliation:
1. Department of Mechatronics Engineering, Kongu Engineering College, Erode, India
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Prediction of Flank Wear during Turning of EN8 Steel with Cutting Force Signals Using a Deep Learning Approach;Mathematical Problems in Engineering;2023-02-15
2. Review on sensor design for cutting force measurement;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2022-06-14
3. Application of AI techniques for modeling the performance measures in milling of 7075-T6 hybrid aluminum metal matrix composites;International Journal of Modeling, Simulation, and Scientific Computing;2021-12-28
4. Prediction of tool wear in milling of Inconel 625 using and integrated kurtosis-based algorithm with vibration signals;Journal of Physics: Conference Series;2021-07-01
5. Use of Optimization Techniques to Study the Engine Performance and Emission Analysis of Diesel Engine;Liquid Biofuels;2021-05-07
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