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 pulse...

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Main Authors: M., Ishak, Khan, Md. Ashikur Rahman, M. M., Rahman, K., Kadirgama, M. A., Maleque
Format: Article
Language:English
Published: Faculty Mechanical Engineering, UMP 2011
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Online Access:http://umpir.ump.edu.my/id/eprint/3865/1/FKM-2011-Mahadzir-predictionof_surface.pdf
http://umpir.ump.edu.my/id/eprint/3865/
http://jmes.ump.edu.my/files/Volume%201/4%20Khan%20et%20al.pdf
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spelling my.ump.umpir.38652018-01-25T06:51:41Z http://umpir.ump.edu.my/id/eprint/3865/ Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model M., Ishak Khan, Md. Ashikur Rahman M. M., Rahman K., Kadirgama M. A., Maleque TJ Mechanical engineering and machinery 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 >s. This result guides to pick the required process outputs and economic industrial machining conditions optimizing the input factors. Faculty Mechanical Engineering, UMP 2011 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3865/1/FKM-2011-Mahadzir-predictionof_surface.pdf M., Ishak and Khan, Md. Ashikur Rahman and M. M., Rahman and K., Kadirgama and M. A., Maleque (2011) Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model. Journal of Mechanical Engineering and Sciences (JMES), 1 (Dec 20). pp. 16-24. ISSN 2231-8380 (online) http://jmes.ump.edu.my/files/Volume%201/4%20Khan%20et%20al.pdf
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
M., Ishak
Khan, Md. Ashikur Rahman
M. M., Rahman
K., Kadirgama
M. A., Maleque
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 >s. This result guides to pick the required process outputs and economic industrial machining conditions optimizing the input factors.
format Article
author M., Ishak
Khan, Md. Ashikur Rahman
M. M., Rahman
K., Kadirgama
M. A., Maleque
author_facet M., Ishak
Khan, Md. Ashikur Rahman
M. M., Rahman
K., Kadirgama
M. A., Maleque
author_sort M., Ishak
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 Faculty Mechanical Engineering, UMP
publishDate 2011
url http://umpir.ump.edu.my/id/eprint/3865/1/FKM-2011-Mahadzir-predictionof_surface.pdf
http://umpir.ump.edu.my/id/eprint/3865/
http://jmes.ump.edu.my/files/Volume%201/4%20Khan%20et%20al.pdf
_version_ 1643664897519648768
score 13.214268