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...

Full description

Bibliographic Details
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
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/3865/ http://umpir.ump.edu.my/id/eprint/3865/ http://umpir.ump.edu.my/id/eprint/3865/1/FKM-2011-Mahadzir-predictionof_surface.pdf

id	ump-3865
recordtype	eprints
spelling	ump-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/3865/ http://umpir.ump.edu.my/id/eprint/3865/1/FKM-2011-Mahadzir-predictionof_surface.pdf
first_indexed	2023-09-18T21:58:26Z
last_indexed	2023-09-18T21:58:26Z
_version_	1777414235623522304

Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model

Similar Items