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

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
genetic algorithm
mql
modeling
multi-objective
nano cutting fluids
optimization
turning
Online Access:http://tribology.rs/journals/2020/2020-1/2020-1-07.html

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