Optimization of Multiple Objectives by Genetic Algorithm for Turning of AISI 1040 Steel Using Al2O3 Nano Fluid with MQL

Multi-objective optimization requires computing the best trade-off between two or more conflicting objectives. The present study applies multi-objective optimization technique to the turning of AISI 1040 steel using Al2O3 nano particles with minimum quantity lubrication (MQL) technique for cutting f...

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Bibliographic Details
Main Authors: M. Usha, G.S. Rao
Format: Article
Language:English
Published: University of Kragujevac 2020-03-01
Series:Tribology in Industry
Subjects:
ccf
mql
Online Access:http://tribology.rs/journals/2020/2020-1/2020-1-07.html