Electrical discharge machining of hybrid material using copper electrode

In recent years, there has been a great of interest in copper alloy (FeCuSn) hybrid metal material due to several industrial applications. Extreme hardness and high brittleness properties of FeCuSn makes the machining of such material very difficult and time consuming, especially using traditional m...

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Main Author:	Mohammad Yazid, Amirul Akmal
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/53561/1/AmirulAkmalMohammad%20YazidMFKM2015.pdf
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id	my-utm-ep.53561
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spelling	my-utm-ep.535612020-07-21T01:03:11Z Electrical discharge machining of hybrid material using copper electrode 2015-06 Mohammad Yazid, Amirul Akmal TJ Mechanical engineering and machinery In recent years, there has been a great of interest in copper alloy (FeCuSn) hybrid metal material due to several industrial applications. Extreme hardness and high brittleness properties of FeCuSn makes the machining of such material very difficult and time consuming, especially using traditional machining methods such as grinding and lapping techniques. Due to this, the cost of machining FeCuSn is very high. Despite high demand in electrical discharge machining (EDM) process by modern manufacturing industries, the mechanism of the process is quite complex. It is difficult to generate a model that can accurately correlate the input parameters with the responses. Optimum parameters play a significant role in increasing production rate and reducing the machining time. In this work, study on parametric optimization of surface roughness (Ra) , material removal rate (MRR) and tool wear ratio (TWR) on die-sinking EDM of copper alloy (FeCuSn) was carried out. This study also establishes the models that relate the responses and the most significant design parameters like pulse-on time (Ton), discharge current (Ip) and servo voltage (SV) will be achieved . Full factorial design was applied to select the most influential design parameters. The experimental data was analyzed using the analysis of variance (ANOVA). The ANOVA results revealed that Ton, Ip and SV were the most influential parameters which affect the Ra, MRR and TWR. The optimum responses (Ra, MRR and TWR) were achieved through the optimum parameters setting predicted by the design expert software. The developed models were validated through confirmation runs, and the error between the experimental and predicted values of the responses lies within the acceptable limit. 2015-06 Thesis http://eprints.utm.my/id/eprint/53561/ http://eprints.utm.my/id/eprint/53561/1/AmirulAkmalMohammad%20YazidMFKM2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85658 masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Mohammad Yazid, Amirul Akmal Electrical discharge machining of hybrid material using copper electrode
description	In recent years, there has been a great of interest in copper alloy (FeCuSn) hybrid metal material due to several industrial applications. Extreme hardness and high brittleness properties of FeCuSn makes the machining of such material very difficult and time consuming, especially using traditional machining methods such as grinding and lapping techniques. Due to this, the cost of machining FeCuSn is very high. Despite high demand in electrical discharge machining (EDM) process by modern manufacturing industries, the mechanism of the process is quite complex. It is difficult to generate a model that can accurately correlate the input parameters with the responses. Optimum parameters play a significant role in increasing production rate and reducing the machining time. In this work, study on parametric optimization of surface roughness (Ra) , material removal rate (MRR) and tool wear ratio (TWR) on die-sinking EDM of copper alloy (FeCuSn) was carried out. This study also establishes the models that relate the responses and the most significant design parameters like pulse-on time (Ton), discharge current (Ip) and servo voltage (SV) will be achieved . Full factorial design was applied to select the most influential design parameters. The experimental data was analyzed using the analysis of variance (ANOVA). The ANOVA results revealed that Ton, Ip and SV were the most influential parameters which affect the Ra, MRR and TWR. The optimum responses (Ra, MRR and TWR) were achieved through the optimum parameters setting predicted by the design expert software. The developed models were validated through confirmation runs, and the error between the experimental and predicted values of the responses lies within the acceptable limit.
format	Thesis
qualification_level	Master's degree
author	Mohammad Yazid, Amirul Akmal
author_facet	Mohammad Yazid, Amirul Akmal
author_sort	Mohammad Yazid, Amirul Akmal
title	Electrical discharge machining of hybrid material using copper electrode
title_short	Electrical discharge machining of hybrid material using copper electrode
title_full	Electrical discharge machining of hybrid material using copper electrode
title_fullStr	Electrical discharge machining of hybrid material using copper electrode
title_full_unstemmed	Electrical discharge machining of hybrid material using copper electrode
title_sort	electrical discharge machining of hybrid material using copper electrode
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/53561/1/AmirulAkmalMohammad%20YazidMFKM2015.pdf
_version_	1747817582007681024

Electrical discharge machining of hybrid material using copper electrode

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