An Overview of PSO in Optimization of Machining Parameters

Dr. M S Prabuswamy; Rajesh A S

Title:
An Overview of PSO in Optimization of Machining Parameters

Authors:
Rajesh A S | Dr. M S Prabuswamy
DOI:
https://doi.org/10.31142/ijtsrd8383

Cite This Article :

Rajesh A S | Dr. M S Prabuswamy "An Overview of PSO in Optimization of Machining Parameters" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2, February 2018, pp.150-157, URL: https://www.ijtsrd.com/papers/ijtsrd8383.pdf

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Abstract :
In the current trends of optimizing machining process parameters, various evolutionary techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Simulated Annealing (SA), Ant Colony Optimization (ACO) and Artificial Bee Colony algorithm (ABC) have been used. This paper gives an overview of PSO techniques to optimize machining process parameter of both traditional and modern machining. Machining process parameters such as cutting speed, depth of cut and radial rake angle are mostly considered by researchers in order to minimize or maximize machining performances. From the review, the most machining process considered in PSO was multi-pass turning while the most considered machining performance was production costs

Keywords :
Machining; Optimization; Process Parameters; PSO

Publication Details:

Unique Identification Number : IJTSRD8383

Published In : Volume-2 | Issue-2, February 2018

Page Number(s) : 150-157

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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