To study the multi-objective optimization of EDM using genetic algorithm

In the manufacturing industry, the production and quality of a product is very important, especially when it involves the big industries EDM. A machine such as EDM (electro discharge machine) used to produce a product that require an accurate product quality. EDM is one of the most accurate manufact...

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Main Author:	Fairuz, Idris
Format:	Undergraduates Project Papers
Language:	English
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/8657/ http://umpir.ump.edu.my/id/eprint/8657/ http://umpir.ump.edu.my/id/eprint/8657/1/CD8021_%40_82.pdf

id	ump-8657
recordtype	eprints
spelling	ump-86572015-10-29T00:02:25Z http://umpir.ump.edu.my/id/eprint/8657/ To study the multi-objective optimization of EDM using genetic algorithm Fairuz, Idris TK Electrical engineering. Electronics Nuclear engineering In the manufacturing industry, the production and quality of a product is very important, especially when it involves the big industries EDM. A machine such as EDM (electro discharge machine) used to produce a product that require an accurate product quality. EDM is one of the most accurate manufacturing processes for creating geometric shapes whether complex or simple in parts and assemblies. Development of EDM process has resulted in significant improvements in operating techniques, productivity and accuracy, which the result of this machining development has helped variability in EDM process. The main purpose of this study is to optimize the parameters used in EDM machining such as non-electrical parameter, electrical parameters, the characteristics of the machining, work piece and the variable parameters that will affect the actual machining performances such as material removal rate (MRR), electrode wear ratio (EWR), and surface roughness (SR). In the process of the study, the second- order mathematical model has been create as a fitness function using MATLAB software to generate multi-objective optimization responses using Genetic Algorithms, peak current, pulse-on time, pulse-off time and servo voltage are act as input of parameter setting. Based on the responses from EDM machining process which has been conducted showed the parameter is effect the level of machining performances in order to get the optimum value. 2013-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8657/1/CD8021_%40_82.pdf Fairuz, Idris (2013) To study the multi-objective optimization of EDM using genetic algorithm. Faculty of Mechanical Engineering , Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:83846&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Fairuz, Idris To study the multi-objective optimization of EDM using genetic algorithm
description	In the manufacturing industry, the production and quality of a product is very important, especially when it involves the big industries EDM. A machine such as EDM (electro discharge machine) used to produce a product that require an accurate product quality. EDM is one of the most accurate manufacturing processes for creating geometric shapes whether complex or simple in parts and assemblies. Development of EDM process has resulted in significant improvements in operating techniques, productivity and accuracy, which the result of this machining development has helped variability in EDM process. The main purpose of this study is to optimize the parameters used in EDM machining such as non-electrical parameter, electrical parameters, the characteristics of the machining, work piece and the variable parameters that will affect the actual machining performances such as material removal rate (MRR), electrode wear ratio (EWR), and surface roughness (SR). In the process of the study, the second- order mathematical model has been create as a fitness function using MATLAB software to generate multi-objective optimization responses using Genetic Algorithms, peak current, pulse-on time, pulse-off time and servo voltage are act as input of parameter setting. Based on the responses from EDM machining process which has been conducted showed the parameter is effect the level of machining performances in order to get the optimum value.
format	Undergraduates Project Papers
author	Fairuz, Idris
author_facet	Fairuz, Idris
author_sort	Fairuz, Idris
title	To study the multi-objective optimization of EDM using genetic algorithm
title_short	To study the multi-objective optimization of EDM using genetic algorithm
title_full	To study the multi-objective optimization of EDM using genetic algorithm
title_fullStr	To study the multi-objective optimization of EDM using genetic algorithm
title_full_unstemmed	To study the multi-objective optimization of EDM using genetic algorithm
title_sort	to study the multi-objective optimization of edm using genetic algorithm
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/8657/ http://umpir.ump.edu.my/id/eprint/8657/ http://umpir.ump.edu.my/id/eprint/8657/1/CD8021_%40_82.pdf
first_indexed	2023-09-18T22:06:28Z
last_indexed	2023-09-18T22:06:28Z
_version_	1777414741403107328

To study the multi-objective optimization of EDM using genetic algorithm

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