Grinding parameters prediction under different cooling environments using machine learning techniques
Author:
Affiliation:
1. Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, India
2. Department of Production Engineering, PSG college of Technology, Coimbatore, India
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/10426914.2022.2116043
Reference33 articles.
1. A comprehensive study on surface integrity of nickel-based superalloy Inconel 718 under robotic belt grinding
2. Machinability of Inconel 718: A critical review on the impact of cutting temperatures
3. Multi performance investigation of Inconel-625 by abrasive aqua jet cutting
4. Influence of nanoparticles’ size on Inconel 718 machining induced residual stresses
5. Cellular automata modeling for rotary friction welding of Inconel 718
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