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
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Online Access:http://irep.iium.edu.my/17153/1/P46_2011.pdf
http://irep.iium.edu.my/17153/
http://jmes.ump.edu.my/files/Volume%201/4%20Khan%20et%20al.pdf
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spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/17153/1/P46_2011.pdf
http://irep.iium.edu.my/17153/
http://jmes.ump.edu.my/files/Volume%201/4%20Khan%20et%20al.pdf
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score 13.18916