On the application of multi criteria decision making technique for multi-response optimization of metal cutting process-Reference-Cited by-同舟云学术

On the application of multi criteria decision making technique for multi-response optimization of metal cutting process

Published:2019-03-29 Issue:1 Volume:13 Page:101-115
ISSN:1872-4981
Container-title:Intelligent Decision Technologies
language:
Short-container-title:IDT

Author:

Chakraborty S.¹,Jana T.K.²,Paul S.³

Affiliation:

1. Department of Mechanical Engineering, Bengal Institute of Technology, Santiniketan, India

2. School of Engineering, Haldia Institute of Technology, Haldia, India

3. Department of Information Technology, Haldia Institute of Technology, Haldia, India

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Reference72 articles.

1. A generalized multi-pass machining model for machining parameter selection in turning;Tan;In J Prod Res,1995

2. The effects of machining process variables and tooling characterization on the surface generation: Modeling, simulation and application promise;Luo;In J Adv Man Tech,2005

3. Multi-objective optimization for turning processes using neural network modeling and dynamic-neighborhood particle swarm optimization;Karpat;In J Adv Man Tech,2006

4. A review of optimization techniques in metal cutting process;Mukherjee;Comp and Indus Eng,2006

5. Application of soft computing techniques in machining performance prediction and optimization: A literature review;Chandrasekaran;In J Adv Man Tech,2010

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