Enhancing the Productivity of Wire Electrical Discharge Machining Toward Sustainable Production by using Artificial Neural Network Modelling

EMITTER International Journal of Engineering Technology

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Field Value
 
Title Enhancing the Productivity of Wire Electrical Discharge Machining Toward Sustainable Production by using Artificial Neural Network Modelling
 
Creator Mohd Zakaria, Muhammad Akmal
Raja Abdullah, Raja Izamshah
Kasim, Mohd Shahir
Ibrahim, Mohamad Halim
 
Subject Mechanical and Manufacturing
WEDM; ANN; Sustainability; Productivity; Water-based dielectric
Manufacture and Precision Engineering
 
Description Sustainability plays an important role in manufacturing industries through economically-sound processes that able to minimize negative environmental impacts while having the social benefits. In this present study, the modeling of wire electrical discharge machining (WEDM) cutting process using an artificial neural network (ANN) for prediction has been carried out with a focus on sustainable production. The objective was to develop an ANN model for prediction of two sustainable measures which were material removal rate (as an economic aspect) and surface roughness (as a social aspect) of titanium alloy with ten input parameters. By concerning environmental pollution due to its intrinsic characteristics such as liquid wastes, the water-based dielectric fluid has been used in this study which represents an environmental aspect in sustainability. For this purpose, a feed-forward backpropagation ANN was developed and trained using the minimal experimental data. The other empirical modelling techniques (statistics based) are less in flexibility and prediction accuracy. The minimal, vague data and nonlinear complex input-output relationship make this ANN model simple and perfects method in the manufacturing environment as well as in this study. The results showed good agreement with the experimental data confirming the effectiveness of the ANN approach in the modeling of material removal rate and surface roughness of this cutting process.
 
Publisher Politeknik Elektronika Negeri Surabaya (PENS)
 
Contributor UTeM Zamalah Scheme
Ministry of Higher Education (Fundamental Research Grant Scheme)
 
Date 2019-06-15
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

 
Format application/pdf
 
Identifier http://emitter.pens.ac.id/index.php/emitter/article/view/365
10.24003/emitter.v7i1.365
 
Source EMITTER International Journal of Engineering Technology; Vol 7, No 1 (2019); 261-274
2443-1168
2355-391X
10.24003/emitter.v7i1
 
Language eng
 
Relation http://emitter.pens.ac.id/index.php/emitter/article/view/365/142
http://emitter.pens.ac.id/index.php/emitter/article/downloadSuppFile/365/45
http://emitter.pens.ac.id/index.php/emitter/article/downloadSuppFile/365/46
http://emitter.pens.ac.id/index.php/emitter/article/downloadSuppFile/365/47
 
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Rights Copyright (c) 2019 EMITTER International Journal of Engineering Technology
http://creativecommons.org/licenses/by-nc-sa/4.0
 

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