Evaluation of Cutting Tool Vibration and Surface Roughness in Hard Turning of AISI 52100 Steel: An Experimental and ANN Approach

Author:

Ambhore NitinORCID,Kamble Dinesh,Chinchanikar Satish

Funder

Savitribai Phule Pune University

Publisher

Springer Science and Business Media LLC

Cited by 26 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. Assessing the performance of ionic liquid-assisted minimum quantity lubrication during machining of biomedical-grade stainless steel with recently developed AlTiN/TiSiXN-coated carbide tool;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-08-30

2. Surface roughness prediction in turning processes using CEEMD-based vibration signal denoising and LSTM networks;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2024-07-26

3. Optimizing sustainable machining processes: a comparative study of multi-objective optimization techniques for minimum quantity lubrication with natural material derivatives in turning SS304;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-01-06

4. Investigate energy efficiency, cutting force and surface roughness in hard turning of AISI S1 Steel for sustainable manufacturing;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2023-10-02

5. Crash test analysis of an All-Terrain Vehicle (ATV) chassis.;Journal of Physics: Conference Series;2023-09-01

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