Application of soft computing techniques in machining performance prediction and optimization: a literature review

By M. Chandrasekaran, M. Muralidhar, Chimata Murali Krishna, Uday S. Dixit. 2010

394 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/d2c1288d011ef63e9214d0b4c894b907324d46db

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Kaushik M. Patel
2. J. Suthar

In Industrial and Manufacturing Engineering

1. Kaushik M. Patel
2. J. Suthar

In Mechanical Engineering

1. Kaushik M. Patel
2. J. Suthar

Citations in the corpus

• Processing issues, machining, and applications of aluminum metal matrix composites (2018, background): “influences tool wear and MRR during turning process.([233,270]) Literature related to surface finish, tool wear and MRR of”