Modeling and optimization of flank wear and surface roughness of Monel-400 during hot turning using artificial intelligence techniques

This work aims to model and investigate the effect of cutting speed, feed rate, depth of cut and the workpiece temperature on surface roughness and flank wear (responses) of Monel-400 during turning operation. It also aims to optimize the machining parameters of the above operation. A power-law mode...

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Bibliographic Details
Main Authors: M. Hanief, M. S. Charoo
Format: Article
Language:English
Published: Association of Metallurgical Engineers of Serbia 2020-04-01
Series:Metallurgical & Materials Engineering
Subjects:
Online Access:https://metall-mater-eng.com/index.php/home/article/view/473

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