Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis

Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis

This report deals with machining workpiece mild steel AISI 1020 using electrical discharge machining (EDM). The objective of this thesis is to optimize the surface roughness (SR), electrode wear ratio (EWR) and material removal rate (MRR) by using grey relational analysis (GRA) with orthogonal array...

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Main Author: Abdul Rahim, Asas
Format: Undergraduates Project Papers
Language:English
English
English
English
Published: 2010
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/1391/
http://umpir.ump.edu.my/id/eprint/1391/
http://umpir.ump.edu.my/id/eprint/1391/1/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20Table%20of%20content.pdf
http://umpir.ump.edu.my/id/eprint/1391/2/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20Abstract.pdf
http://umpir.ump.edu.my/id/eprint/1391/3/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20Chapter%201.pdf
http://umpir.ump.edu.my/id/eprint/1391/4/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20References.pdf
id ump-1391
recordtype eprints
spelling ump-13912017-04-06T04:04:02Z http://umpir.ump.edu.my/id/eprint/1391/ Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis Abdul Rahim, Asas TJ Mechanical engineering and machinery This report deals with machining workpiece mild steel AISI 1020 using electrical discharge machining (EDM). The objective of this thesis is to optimize the surface roughness (SR), electrode wear ratio (EWR) and material removal rate (MRR) by using grey relational analysis (GRA) with orthogonal array (OA) and to discuss on the significant result by using analysis of variance (ANOVA). The machining of mild steel AISI 1020 steel workpiece was perform using the EDM machine AQ55L (ATC) and the analysis done using equation for GRA and STATISTICA software for ANOVA. In this study, the machining parameters, namely workpiece polarity, pulse off time, pulse on time, peak current, servo voltage and dielectric fluid are optimized. A grey relational grade obtained from the grey relational analysis is used to solve the EDM process with the multiple performance characteristics. Optimal machining parameters can then be determined by the grey relational grade as the performance index. Based from the result, the most significant parameter that effect the MRR, EWR and SR was the peak current while significant parameter was workpiece polarity. Experimental results have shown that machining performance in the EDM process can be improved effectively through this approach 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1391/1/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20Table%20of%20content.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1391/2/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1391/3/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1391/4/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20References.pdf Abdul Rahim, Asas (2010) Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:52632&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
English
English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Abdul Rahim, Asas
Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis
description This report deals with machining workpiece mild steel AISI 1020 using electrical discharge machining (EDM). The objective of this thesis is to optimize the surface roughness (SR), electrode wear ratio (EWR) and material removal rate (MRR) by using grey relational analysis (GRA) with orthogonal array (OA) and to discuss on the significant result by using analysis of variance (ANOVA). The machining of mild steel AISI 1020 steel workpiece was perform using the EDM machine AQ55L (ATC) and the analysis done using equation for GRA and STATISTICA software for ANOVA. In this study, the machining parameters, namely workpiece polarity, pulse off time, pulse on time, peak current, servo voltage and dielectric fluid are optimized. A grey relational grade obtained from the grey relational analysis is used to solve the EDM process with the multiple performance characteristics. Optimal machining parameters can then be determined by the grey relational grade as the performance index. Based from the result, the most significant parameter that effect the MRR, EWR and SR was the peak current while significant parameter was workpiece polarity. Experimental results have shown that machining performance in the EDM process can be improved effectively through this approach
format Undergraduates Project Papers
author Abdul Rahim, Asas
author_facet Abdul Rahim, Asas
author_sort Abdul Rahim, Asas
title Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis
title_short Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis
title_full Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis
title_fullStr Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis
title_full_unstemmed Optimization of electrical discharge machine on mild steel AISI 1020 by using grey relational analysis
title_sort optimization of electrical discharge machine on mild steel aisi 1020 by using grey relational analysis
publishDate 2010
url http://umpir.ump.edu.my/id/eprint/1391/
http://umpir.ump.edu.my/id/eprint/1391/
http://umpir.ump.edu.my/id/eprint/1391/1/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20Table%20of%20content.pdf
http://umpir.ump.edu.my/id/eprint/1391/2/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20Abstract.pdf
http://umpir.ump.edu.my/id/eprint/1391/3/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20Chapter%201.pdf
http://umpir.ump.edu.my/id/eprint/1391/4/Optimization%20of%20electrical%20discharge%20machine%20on%20mild%20steel%20AISI%201020%20by%20using%20grey%20relational%20analysis%20-%20References.pdf
first_indexed 2023-09-18T21:54:29Z
last_indexed 2023-09-18T21:54:29Z
_version_ 1777413987548266496

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