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Grey Relational Analysis (GRA) of electrode wear rate in die sinking electric discharge machining

Electric Discharge Machining (EDM) is one of the nonconventional machining that are widely used for processing hard and difficult-to-machine materials such as stainless steel and super alloys. This study presents an experimental study of die sinking EDM process using SS316L stainless steel with copp...

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Main Authors: Mat Deris, Ashanira, Mohd. Zain, Azlan, Sallehuddin, Roselina, Sharif, Safian, Yusuf, Suhaila
Format: Article
Published: Medwell Publishing 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/80784/
http://dx.doi.org/10.3923/jeasci.2017.1795.1799
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spelling my.utm.807842019-06-27T06:24:17Z http://eprints.utm.my/id/eprint/80784/ Grey Relational Analysis (GRA) of electrode wear rate in die sinking electric discharge machining Mat Deris, Ashanira Mohd. Zain, Azlan Sallehuddin, Roselina Sharif, Safian Yusuf, Suhaila TK Electrical engineering. Electronics Nuclear engineering Electric Discharge Machining (EDM) is one of the nonconventional machining that are widely used for processing hard and difficult-to-machine materials such as stainless steel and super alloys. This study presents an experimental study of die sinking EDM process using SS316L stainless steel with copper impregnated graphite electrode to investigate the parameters affecting Electrode Wear Rate (EWR). The machining experiment was conducted in order to find the influence of five EDM parameters which are peak current, servo voltage, pulse on time, pulse off time and servo speed on electrode wear rate value. The experimental data was collected and analyzed using Grey Relational Analysis (GRA). Results from GRA indicates that peak current is the most significant parameter to the EWR value. Medwell Publishing 2017 Article PeerReviewed Mat Deris, Ashanira and Mohd. Zain, Azlan and Sallehuddin, Roselina and Sharif, Safian and Yusuf, Suhaila (2017) Grey Relational Analysis (GRA) of electrode wear rate in die sinking electric discharge machining. Journal of Engineering and Applied Sciences, 12 (7). pp. 1795-1799. ISSN 1816-949X http://dx.doi.org/10.3923/jeasci.2017.1795.1799 DOI:10.3923/jeasci.2017.1795.1799
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mat Deris, Ashanira
Mohd. Zain, Azlan
Sallehuddin, Roselina
Sharif, Safian
Yusuf, Suhaila
Grey Relational Analysis (GRA) of electrode wear rate in die sinking electric discharge machining
description Electric Discharge Machining (EDM) is one of the nonconventional machining that are widely used for processing hard and difficult-to-machine materials such as stainless steel and super alloys. This study presents an experimental study of die sinking EDM process using SS316L stainless steel with copper impregnated graphite electrode to investigate the parameters affecting Electrode Wear Rate (EWR). The machining experiment was conducted in order to find the influence of five EDM parameters which are peak current, servo voltage, pulse on time, pulse off time and servo speed on electrode wear rate value. The experimental data was collected and analyzed using Grey Relational Analysis (GRA). Results from GRA indicates that peak current is the most significant parameter to the EWR value.
format Article
author Mat Deris, Ashanira
Mohd. Zain, Azlan
Sallehuddin, Roselina
Sharif, Safian
Yusuf, Suhaila
author_facet Mat Deris, Ashanira
Mohd. Zain, Azlan
Sallehuddin, Roselina
Sharif, Safian
Yusuf, Suhaila
author_sort Mat Deris, Ashanira
title Grey Relational Analysis (GRA) of electrode wear rate in die sinking electric discharge machining
title_short Grey Relational Analysis (GRA) of electrode wear rate in die sinking electric discharge machining
title_full Grey Relational Analysis (GRA) of electrode wear rate in die sinking electric discharge machining
title_fullStr Grey Relational Analysis (GRA) of electrode wear rate in die sinking electric discharge machining
title_full_unstemmed Grey Relational Analysis (GRA) of electrode wear rate in die sinking electric discharge machining
title_sort grey relational analysis (gra) of electrode wear rate in die sinking electric discharge machining
publisher Medwell Publishing
publishDate 2017
url http://eprints.utm.my/id/eprint/80784/
http://dx.doi.org/10.3923/jeasci.2017.1795.1799
_version_ 1643658515336658944
score 13.244414

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