Experimental Analysis On Parameters Affecting The Material Removal Rate In Wire Electrical Discharge Turning Using The Taguchi Method

Raja Abdullah, Raja Izamshah and Mohd Zakaria, Muhammad Akmal and Kasim, Mohd Shahir and Mohamed, S.B. (2018) Experimental Analysis On Parameters Affecting The Material Removal Rate In Wire Electrical Discharge Turning Using The Taguchi Method. International Journal Of Mechanical & Mechatronics Engineering (IJMME), 18 (05). pp. 75-82. ISSN 2227-2771

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Abstract

Wire electrical discharge turning (WEDT) allows success in the machining of advanced materials, particularly for the cylindrical shape components used in the metrology, medical and aerospace field. Using WEDT technology, the micro dimension of geometrical features can be machined without constraints on difficult-to-machine electrically conductive materials. The high precision with large aspect ratio machining capability make WEDT valuable. The correct machining parameter selection is the most important aspect to take into consideration when machining by WEDT. Therefore, the purpose of this study was to rank, determine and optimise the machining parameters that affect the material removal rate (MRR) in WEDT process. As WEDT has as much as eleven control parameters in this study, representing a large number of machining, the Taguchi L-12 orthogonal array was used to obtain the required data with a minimum number of experiments. By using similar experimental data, the regression equation was developed to represent as fitness function for optimisation by genetic algorithm (GA). It was found that by selecting the fast feed of workpiece to machining zone, the faster material was removed and moreover, it dominated other machining parameters. The optimised parameters yield 1.398 mm³/min as the maximum value predicted for MRR recommended by GA.

Item Type:	Article
Uncontrolled Keywords:	Genetic Algorithm, Micro-cylindrical Machining, MRR, Taguchi, WEDT
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Manufacturing Engineering > Department of Manufacturing Process
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	25 Jul 2019 03:31
Last Modified:	25 Aug 2021 13:46
URI:	http://eprints.utem.edu.my/id/eprint/22893
Statistic Details:	View Download Statistic

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