Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model

This paper develops a single order mathematical model for correlating the various electrical discharge machining (EDM) parameters and performance characteristics utilizing relevant experimental data as obtained through experimentation. Besides the effect of the peak ampere, pulse on time and p...

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Main Authors:	Rahman Khan, Md. Ashikur, Rahman, M. M., Kadirgama, Kumaran, Maleque, Md. Abdul, Ishak, M.
Format:	Article
Language:	English
Published:	University Malaysia Pahang 2011
Subjects:	TA197 Engineering meteorology TS200 Metal manufactures. Metalworking
Online Access:	http://irep.iium.edu.my/17153/ http://irep.iium.edu.my/17153/ http://irep.iium.edu.my/17153/1/P46_2011.pdf

id	iium-17153
recordtype	eprints
spelling	iium-171532012-02-01T02:40:53Z http://irep.iium.edu.my/17153/ Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model Rahman Khan, Md. Ashikur Rahman, M. M. Kadirgama, Kumaran Maleque, Md. Abdul Ishak, M. TA197 Engineering meteorology TS200 Metal manufactures. Metalworking This paper develops a single order mathematical model for correlating the various electrical discharge machining (EDM) parameters and performance characteristics utilizing relevant experimental data as obtained through experimentation. Besides the effect of the peak ampere, pulse on time and pulse off time on surface roughness has been investigated. Experiments have been conducted on titanium alloy Ti-6Al-4V with copper electrode retaining negative polarity as per Design of experiments (DOE). Response surface methodology (RSM) techniques are utilized to develop the mathematical model as well as to optimize the EDM parameters. Analysis of Variance (ANOVA) has been performed for the validity test of fit and adequacy of the proposed models. It can be seen that increasing pulse on time causes the fine surface until a certain value and afterward deteriorates in the surface finish. The excellent surface finish is investigated in this study in the case of the pulse on time below 80 µs. This result guides to pick the required process outputs and economic industrial machining conditions optimizing the input factors University Malaysia Pahang 2011-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/17153/1/P46_2011.pdf Rahman Khan, Md. Ashikur and Rahman, M. M. and Kadirgama, Kumaran and Maleque, Md. Abdul and Ishak, M. (2011) Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model. Journal of Mechanical Engineering and Sciences (JMES), 1. pp. 16-24. ISSN 2231-8380 http://jmes.ump.edu.my/files/Volume%201/4%20Khan%20et%20al.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TA197 Engineering meteorology TS200 Metal manufactures. Metalworking
spellingShingle	TA197 Engineering meteorology TS200 Metal manufactures. Metalworking Rahman Khan, Md. Ashikur Rahman, M. M. Kadirgama, Kumaran Maleque, Md. Abdul Ishak, M. Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model
description	This paper develops a single order mathematical model for correlating the various electrical discharge machining (EDM) parameters and performance characteristics utilizing relevant experimental data as obtained through experimentation. Besides the effect of the peak ampere, pulse on time and pulse off time on surface roughness has been investigated. Experiments have been conducted on titanium alloy Ti-6Al-4V with copper electrode retaining negative polarity as per Design of experiments (DOE). Response surface methodology (RSM) techniques are utilized to develop the mathematical model as well as to optimize the EDM parameters. Analysis of Variance (ANOVA) has been performed for the validity test of fit and adequacy of the proposed models. It can be seen that increasing pulse on time causes the fine surface until a certain value and afterward deteriorates in the surface finish. The excellent surface finish is investigated in this study in the case of the pulse on time below 80 µs. This result guides to pick the required process outputs and economic industrial machining conditions optimizing the input factors
format	Article
author	Rahman Khan, Md. Ashikur Rahman, M. M. Kadirgama, Kumaran Maleque, Md. Abdul Ishak, M.
author_facet	Rahman Khan, Md. Ashikur Rahman, M. M. Kadirgama, Kumaran Maleque, Md. Abdul Ishak, M.
author_sort	Rahman Khan, Md. Ashikur
title	Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model
title_short	Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model
title_full	Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model
title_fullStr	Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model
title_full_unstemmed	Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model
title_sort	prediction of surface roughness of ti-6al-4v in electrical discharge machining: a regression model
publisher	University Malaysia Pahang
publishDate	2011
url	http://irep.iium.edu.my/17153/ http://irep.iium.edu.my/17153/ http://irep.iium.edu.my/17153/1/P46_2011.pdf
first_indexed	2018-09-07T04:03:32Z
last_indexed	2018-09-07T04:03:32Z
_version_	1610919981999980544

Prediction of surface roughness of Ti-6Al-4V in electrical discharge machining: A regression model

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