Prediction of cutting force by using ANFIS
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
http://link.springer.com/article/10.1007/s13198-018-0717-x/fulltext.html
Reference43 articles.
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3. Azouzi R, Guillot M (1997) On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusion. Int J Mach Tools Manuf 37:1201–1217
4. Baseri H (2011) Design of adaptive neuro-fuzzy inference system for estimation of grinding performance. Mater Manuf Processes 26:757–763. https://doi.org/10.1080/10426911003636951
5. Chaudhary H, Panwar V, Prasad R, Sukavanam N (2016) Adaptive neuro fuzzy based hybrid force/position control for an industrial robot manipulator. J Intell Manuf 27:1299–1308
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1. Prediction of cutting force via machine learning: state of the art, challenges and potentials;Journal of Intelligent Manufacturing;2023-12-14
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4. The prediction of surface roughness and tool vibration by using metaheuristic-based ANFIS during dry turning of Al alloy (AA6013);Journal of the Brazilian Society of Mechanical Sciences and Engineering;2022-09-22
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