Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology

Electrical Discharge Machining (EDM) has grown over the last few decades from a novelty to a mainstream anufacturing process. Though, EDM process is very demanding but the mechanism of the process is complex and far from completely understood. It is difficult to establish a model that can accurate...

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Main Authors:	Asif Iqbal, A.K.M., Khan, Ahsan Ali
Format:	Article
Language:	English
Published:	Science Publications 2010
Subjects:	TS200 Metal manufactures. Metalworking
Online Access:	http://irep.iium.edu.my/1881/ http://irep.iium.edu.my/1881/ http://irep.iium.edu.my/1881/1/Asif_2.pdf

id	iium-1881
recordtype	eprints
spelling	iium-18812011-09-08T07:19:43Z http://irep.iium.edu.my/1881/ Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology Asif Iqbal, A.K.M. Khan, Ahsan Ali TS200 Metal manufactures. Metalworking Electrical Discharge Machining (EDM) has grown over the last few decades from a novelty to a mainstream anufacturing process. Though, EDM process is very demanding but the mechanism of the process is complex and far from completely understood. It is difficult to establish a model that can accurately predict the performance by correlating the process parameters. The optimum processing parameters are essential to increase the production rate and decrease the machining time, since the materials, which are processed by EDM and even the process is very costly. This research establishes empirical relations regarding machining parameters and the responses in analyzing the machinability of the stainless steel. Approach: The machining factors used are voltage, rotational speed of electrode and feed rate over the responses MRR, EWR and Ra. Response surface methodology was used to investigate the relationships and parametric interactions between the three controllable variables on the MRR, EWR and Ra. Central composite experimental design was used to estimate the model coefficients of the three factors. The responses were modeled using a response surface model based on experimental results. The significant coefficients were obtained by performing Analysis Of Variance (ANOVA) at 95% level of significance. Results: The variation in percentage errors for developed models was found within 5%. Conclusion: The developed models show that voltage and rotary motion of electrode are the most significant machining parameters influencing MRR, EWR and Ra. These models can be used to get the desired responses within the experimental range. Science Publications 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/1881/1/Asif_2.pdf Asif Iqbal, A.K.M. and Khan, Ahsan Ali (2010) Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology. American Journal of Engineering and Applied Sciences, 3 (4). pp. 611-619. ISSN 1941-7039 (O), 1941-7020 (P) http://thescipub.com/abstract/10.3844/ajeassp.2010.611.619
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TS200 Metal manufactures. Metalworking
spellingShingle	TS200 Metal manufactures. Metalworking Asif Iqbal, A.K.M. Khan, Ahsan Ali Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology
description	Electrical Discharge Machining (EDM) has grown over the last few decades from a novelty to a mainstream anufacturing process. Though, EDM process is very demanding but the mechanism of the process is complex and far from completely understood. It is difficult to establish a model that can accurately predict the performance by correlating the process parameters. The optimum processing parameters are essential to increase the production rate and decrease the machining time, since the materials, which are processed by EDM and even the process is very costly. This research establishes empirical relations regarding machining parameters and the responses in analyzing the machinability of the stainless steel. Approach: The machining factors used are voltage, rotational speed of electrode and feed rate over the responses MRR, EWR and Ra. Response surface methodology was used to investigate the relationships and parametric interactions between the three controllable variables on the MRR, EWR and Ra. Central composite experimental design was used to estimate the model coefficients of the three factors. The responses were modeled using a response surface model based on experimental results. The significant coefficients were obtained by performing Analysis Of Variance (ANOVA) at 95% level of significance. Results: The variation in percentage errors for developed models was found within 5%. Conclusion: The developed models show that voltage and rotary motion of electrode are the most significant machining parameters influencing MRR, EWR and Ra. These models can be used to get the desired responses within the experimental range.
format	Article
author	Asif Iqbal, A.K.M. Khan, Ahsan Ali
author_facet	Asif Iqbal, A.K.M. Khan, Ahsan Ali
author_sort	Asif Iqbal, A.K.M.
title	Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology
title_short	Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology
title_full	Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology
title_fullStr	Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology
title_full_unstemmed	Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology
title_sort	modeling and analysis of mrr, ewr and surface roughness in edm milling through response surface methodology
publisher	Science Publications
publishDate	2010
url	http://irep.iium.edu.my/1881/ http://irep.iium.edu.my/1881/ http://irep.iium.edu.my/1881/1/Asif_2.pdf
first_indexed	2023-09-18T20:09:24Z
last_indexed	2023-09-18T20:09:24Z
_version_	1777407376586964992

Modeling and analysis of MRR, EWR and surface roughness in EDM milling through response surface methodology

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