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 various electrical discharge machining (EDM) parameters and performance characteristics by utilizing relevant experimental data obtained through experimentation. In addition to the effect of peak ampere, the effect of pulse on tim...

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Main Authors:	Khan, Md. Ashikur Rahman, Rahman, M. M., Kadirgama, Kumaran, Maleque, Md. Abdul, Ishak, M.
Format:	Article
Language:	English
Published:	University Malaysia Pahang 2011
Subjects:	T173.2 Technological change TJ1125 Machine shops and machine shop practice TJ227 Machine design and drawing TS200 Metal manufactures. Metalworking
Online Access:	http://irep.iium.edu.my/50006/ http://irep.iium.edu.my/50006/ http://irep.iium.edu.my/50006/1/P49a_2011_UMP.pdf

id	iium-50006
recordtype	eprints
spelling	iium-500062016-07-21T01:30:16Z http://irep.iium.edu.my/50006/ Prediction of surface roughness of ti-6al-4v in electrical discharge machining: a regression model Khan, Md. Ashikur Rahman Rahman, M. M. Kadirgama, Kumaran Maleque, Md. Abdul Ishak, M. T173.2 Technological change TJ1125 Machine shops and machine shop practice TJ227 Machine design and drawing TS200 Metal manufactures. Metalworking This paper develops a single order mathematical model for correlating various electrical discharge machining (EDM) parameters and performance characteristics by utilizing relevant experimental data obtained through experimentation. In addition to the effect of peak ampere, the effect of pulse on time and pulse off time on surface roughness has also been investigated. Experiments have been conducted on titanium alloy Ti-6Al-4V with a copper electrode retaining negative polarity as per the Design of Experiments. Response surface methodology techniques are utilized to develop the mathematical model as well as to optimize the EDM parameters. An analysis of variance 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 a fine surface until a certain value, beyond which the surface finish deteriorates. The excellent surface finish is investigated in this study for the case of pulse on time below 80 μs. This result acts as a guide for selecting the required process outputs and most economic industrial machining conditions for optimizing the input factors. University Malaysia Pahang 2011-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/50006/1/P49a_2011_UMP.pdf Khan, Md. Ashikur Rahman 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/images/Volume%201/5_Khan%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	T173.2 Technological change TJ1125 Machine shops and machine shop practice TJ227 Machine design and drawing TS200 Metal manufactures. Metalworking
spellingShingle	T173.2 Technological change TJ1125 Machine shops and machine shop practice TJ227 Machine design and drawing TS200 Metal manufactures. Metalworking Khan, Md. Ashikur Rahman 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 various electrical discharge machining (EDM) parameters and performance characteristics by utilizing relevant experimental data obtained through experimentation. In addition to the effect of peak ampere, the effect of pulse on time and pulse off time on surface roughness has also been investigated. Experiments have been conducted on titanium alloy Ti-6Al-4V with a copper electrode retaining negative polarity as per the Design of Experiments. Response surface methodology techniques are utilized to develop the mathematical model as well as to optimize the EDM parameters. An analysis of variance 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 a fine surface until a certain value, beyond which the surface finish deteriorates. The excellent surface finish is investigated in this study for the case of pulse on time below 80 μs. This result acts as a guide for selecting the required process outputs and most economic industrial machining conditions for optimizing the input factors.
format	Article
author	Khan, Md. Ashikur Rahman Rahman, M. M. Kadirgama, Kumaran Maleque, Md. Abdul Ishak, M.
author_facet	Khan, Md. Ashikur Rahman Rahman, M. M. Kadirgama, Kumaran Maleque, Md. Abdul Ishak, M.
author_sort	Khan, Md. Ashikur Rahman
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/50006/ http://irep.iium.edu.my/50006/ http://irep.iium.edu.my/50006/1/P49a_2011_UMP.pdf
first_indexed	2018-09-07T07:00:08Z
last_indexed	2018-09-07T07:00:08Z
_version_	1610931092321206272

Prediction of surface roughness of ti-6al-4v in electrical discharge machining: a regression model

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