Optimizing the machining parameters during turning of EN 31 steel using TiN + Al2O3 + TiCN coated tungsten carbide tool

Author:

Prakash Jai,Equbal Azhar,Ravindrannair Pranav,Asif Equbal Md,Israr Equbal Md.

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous)

Reference16 articles.

1. Modeling and analysis for surface roughness in machining EN-31 steel using response surface methodology;Abhang;Int. J. Appl. Sci. Eng.,2011

2. An Investigation on the Feasibility of Fused Deposition Modelling process in EDM Electrode Manufacturing;Equbal;CIRP J. Manuf. Sci. Technol.,2019

3. Predicting surface roughness of AISI 4140 steel in hard turning process through artificial neural network, fuzzy logic and regression models;Akkuş;Sci. Res. Essays,2011

4. T. Chowdhury, N.R. Dhar, Experimental analysis and modeling of tool wear and surface roughness in hard turning under minimum quantity lubricant environment, in: Proceedings of the International conference on industrial engineering and operations management, Malaysia, 2011.

5. Surface finish generated in hard turning of quenched alloy steel parts using conventional and wiper ceramic inserts;Grzesik;Int. J. Mach. Tools. Manuf.,2006

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