Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining

The problem appeared owing to selection of parameters increases the deficiency of electrical discharge machining (EDM) process. Modelling can facilitate the acquisition of a better understanding of such complex process, save the machining time and make the process economic. Thus, the present work em...

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Main Authors:	Khan, Md. Ashikur Rahman, M. M., Rahman, K., Kadirgama
Format:	Article
Language:	English
Published:	Elsevier Ltd 2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/8185/ http://umpir.ump.edu.my/id/eprint/8185/ http://umpir.ump.edu.my/id/eprint/8185/ http://umpir.ump.edu.my/id/eprint/8185/1/Neural_Network_Modeling_and_Analysis_for_Surface_Characteristics_in_Electrical_Discharge_Machining.pdf

id	ump-8185
recordtype	eprints
spelling	ump-81852018-01-25T03:13:46Z http://umpir.ump.edu.my/id/eprint/8185/ Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining Khan, Md. Ashikur Rahman M. M., Rahman K., Kadirgama TJ Mechanical engineering and machinery The problem appeared owing to selection of parameters increases the deficiency of electrical discharge machining (EDM) process. Modelling can facilitate the acquisition of a better understanding of such complex process, save the machining time and make the process economic. Thus, the present work emphasizes the development of an artificial neural network (ANN) model for predicting the surface roughness (Ra). Training and testing are done with data that are found succeeding the experiment as design of experiments. The surface topography of the machined part was analysed by scanning electronic microscopy. The result shows that the ANN model can predict the surface roughness effectively. Low discharge energy level results in smaller craters and micro-cracks producing a suitable structure of the surface. This approach helps in economic EDM machining. Elsevier Ltd 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8185/1/Neural_Network_Modeling_and_Analysis_for_Surface_Characteristics_in_Electrical_Discharge_Machining.pdf Khan, Md. Ashikur Rahman and M. M., Rahman and K., Kadirgama (2014) Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining. Procedia Engineering, 90. pp. 631-636. ISSN 1877-7058 http://dx.doi.org/10.1016/j.proeng.2014.11.783 doi:10.1016/j.proeng.2014.11.783
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 Khan, Md. Ashikur Rahman M. M., Rahman K., Kadirgama Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining
description	The problem appeared owing to selection of parameters increases the deficiency of electrical discharge machining (EDM) process. Modelling can facilitate the acquisition of a better understanding of such complex process, save the machining time and make the process economic. Thus, the present work emphasizes the development of an artificial neural network (ANN) model for predicting the surface roughness (Ra). Training and testing are done with data that are found succeeding the experiment as design of experiments. The surface topography of the machined part was analysed by scanning electronic microscopy. The result shows that the ANN model can predict the surface roughness effectively. Low discharge energy level results in smaller craters and micro-cracks producing a suitable structure of the surface. This approach helps in economic EDM machining.
format	Article
author	Khan, Md. Ashikur Rahman M. M., Rahman K., Kadirgama
author_facet	Khan, Md. Ashikur Rahman M. M., Rahman K., Kadirgama
author_sort	Khan, Md. Ashikur Rahman
title	Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining
title_short	Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining
title_full	Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining
title_fullStr	Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining
title_full_unstemmed	Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining
title_sort	neural network modeling and analysis for surface characteristics in electrical discharge machining
publisher	Elsevier Ltd
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/8185/ http://umpir.ump.edu.my/id/eprint/8185/ http://umpir.ump.edu.my/id/eprint/8185/ http://umpir.ump.edu.my/id/eprint/8185/1/Neural_Network_Modeling_and_Analysis_for_Surface_Characteristics_in_Electrical_Discharge_Machining.pdf
first_indexed	2023-09-18T22:05:30Z
last_indexed	2023-09-18T22:05:30Z
_version_	1777414680830017536

Neural Network Modeling and Analysis for Surface Characteristics in Electrical Discharge Machining

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