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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
University of Kragujevac
2020-03-01
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Series: | Tribology in Industry |
Subjects: | |
Online Access: | http://tribology.rs/journals/2020/2020-1/2020-1-07.html |