Optimization of Machining Parameters on Tool Wear Rate of Ti-6Al-4V through EDM using Copper Tungsten Electrode A Statistical Approach

Electrical discharge machining (EDM) is relatively modern machining process having distinct advantages over other machining processes and able to machine Ti-alloys effectively. This paper attempts to investigate the effects of peak ampere, pulse on time and pulse off time on tool wear rate (TWR) of...

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Main Authors:	M. M., Rahman, M. M., Noor, K., Kadirgama, R. A., Bakar
Format:	Article
Language:	English
Published:	2011
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/2215/ http://umpir.ump.edu.my/id/eprint/2215/ http://umpir.ump.edu.my/id/eprint/2215/1/Optimization_of_Machining_Parameters_on_Tool_Wear_Rate_of_Ti-6Al-4V_through_EDM_using_Copper_Tungsten_Electrode_A_Statistical_Approach.pdf

id	ump-2215
recordtype	eprints
spelling	ump-22152018-01-25T06:05:42Z http://umpir.ump.edu.my/id/eprint/2215/ Optimization of Machining Parameters on Tool Wear Rate of Ti-6Al-4V through EDM using Copper Tungsten Electrode A Statistical Approach M. M., Rahman M. M., Noor K., Kadirgama R. A., Bakar TJ Mechanical engineering and machinery Electrical discharge machining (EDM) is relatively modern machining process having distinct advantages over other machining processes and able to machine Ti-alloys effectively. This paper attempts to investigate the effects of peak ampere, pulse on time and pulse off time on tool wear rate (TWR) of titanium alloy Ti-6Al-4V in EDM utilizing copper tungsten as an electrode and positive polarity of the electrode. A mathematical model for electrode wear rate is developed in this paper. Design of experiments method and response surface methodology techniques are implemented. The validity test of the fit and adequacy of the proposed models has been carried out through analysis of variance. It can be seen that as the peak current increases the TWR decreases till certain ampere and then increases. The excellent surface finish is investigated in this study at short pulse on time and in contrast the long pulse duration causes the lowest TWR. Long pulse off time provides minimum TWR and the impact of pulse interval on TWR depends on peak current. The result leads to wear rate of electrode and economical industrial machining by optimizing the input parameters. 2011 Article NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2215/1/Optimization_of_Machining_Parameters_on_Tool_Wear_Rate_of_Ti-6Al-4V_through_EDM_using_Copper_Tungsten_Electrode_A_Statistical_Approach.pdf M. M., Rahman and M. M., Noor and K., Kadirgama and R. A., Bakar (2011) Optimization of Machining Parameters on Tool Wear Rate of Ti-6Al-4V through EDM using Copper Tungsten Electrode A Statistical Approach. Advanced Materials Research, 152-15. pp. 1595-1602. ISSN 1022-6680 http://www.scientific.net/AMR.152-153.1595
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. M., Rahman M. M., Noor K., Kadirgama R. A., Bakar Optimization of Machining Parameters on Tool Wear Rate of Ti-6Al-4V through EDM using Copper Tungsten Electrode A Statistical Approach
description	Electrical discharge machining (EDM) is relatively modern machining process having distinct advantages over other machining processes and able to machine Ti-alloys effectively. This paper attempts to investigate the effects of peak ampere, pulse on time and pulse off time on tool wear rate (TWR) of titanium alloy Ti-6Al-4V in EDM utilizing copper tungsten as an electrode and positive polarity of the electrode. A mathematical model for electrode wear rate is developed in this paper. Design of experiments method and response surface methodology techniques are implemented. The validity test of the fit and adequacy of the proposed models has been carried out through analysis of variance. It can be seen that as the peak current increases the TWR decreases till certain ampere and then increases. The excellent surface finish is investigated in this study at short pulse on time and in contrast the long pulse duration causes the lowest TWR. Long pulse off time provides minimum TWR and the impact of pulse interval on TWR depends on peak current. The result leads to wear rate of electrode and economical industrial machining by optimizing the input parameters.
format	Article
author	M. M., Rahman M. M., Noor K., Kadirgama R. A., Bakar
author_facet	M. M., Rahman M. M., Noor K., Kadirgama R. A., Bakar
author_sort	M. M., Rahman
title	Optimization of Machining Parameters on Tool Wear Rate of Ti-6Al-4V through EDM using Copper Tungsten Electrode A Statistical Approach
title_short	Optimization of Machining Parameters on Tool Wear Rate of Ti-6Al-4V through EDM using Copper Tungsten Electrode A Statistical Approach
title_full	Optimization of Machining Parameters on Tool Wear Rate of Ti-6Al-4V through EDM using Copper Tungsten Electrode A Statistical Approach
title_fullStr	Optimization of Machining Parameters on Tool Wear Rate of Ti-6Al-4V through EDM using Copper Tungsten Electrode A Statistical Approach
title_full_unstemmed	Optimization of Machining Parameters on Tool Wear Rate of Ti-6Al-4V through EDM using Copper Tungsten Electrode A Statistical Approach
title_sort	optimization of machining parameters on tool wear rate of ti-6al-4v through edm using copper tungsten electrode a statistical approach
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/2215/ http://umpir.ump.edu.my/id/eprint/2215/ http://umpir.ump.edu.my/id/eprint/2215/1/Optimization_of_Machining_Parameters_on_Tool_Wear_Rate_of_Ti-6Al-4V_through_EDM_using_Copper_Tungsten_Electrode_A_Statistical_Approach.pdf
first_indexed	2023-09-18T21:55:48Z
last_indexed	2023-09-18T21:55:48Z
_version_	1777414070468608000

Optimization of Machining Parameters on Tool Wear Rate of Ti-6Al-4V through EDM using Copper Tungsten Electrode A Statistical Approach

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