Improving Sustainability of EDM Sector by Implementing Unconventional Competitive Manufacturing Approach

In this research work, an attempt was made to machine the titanium (Ti6Al4V) alloy utilizing electric discharge machining technique. The distinct process parameters and its impact on the machining performance were identified using the cause-and-effect diagram (CED). The key process parameters identi...

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Main Authors: K. G Sagar, P. K. Anjani, Manju Shree Raman, N. S. M. P. Latha Devi, Kamakshi Mehta, Jose Luis Arias Gonzales, Nellore Manoj Kumar, Venkatesan S
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2022/6164599
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author K. G Sagar
P. K. Anjani
Manju Shree Raman
N. S. M. P. Latha Devi
Kamakshi Mehta
Jose Luis Arias Gonzales
Nellore Manoj Kumar
Venkatesan S
author_facet K. G Sagar
P. K. Anjani
Manju Shree Raman
N. S. M. P. Latha Devi
Kamakshi Mehta
Jose Luis Arias Gonzales
Nellore Manoj Kumar
Venkatesan S
author_sort K. G Sagar
collection DOAJ
description In this research work, an attempt was made to machine the titanium (Ti6Al4V) alloy utilizing electric discharge machining technique. The distinct process parameters and its impact on the machining performance were identified using the cause-and-effect diagram (CED). The key process parameters identified by CED diagram were current, pulse on time (Ton), aluminium oxide (Al2O3) powder concentration, and gap distance; experiments were conducted by varying the process parameters, experimental runs were designed using the Taguchi mixed orthogonal array. The experimental results revealed that improvement in material removal rate (MRR) was due to the bridging effect; reduction in tool wear rate (TWR) owing to the expansion of spark gap and enhancement in the surface roughness (Ra) was due to the complete flushing of machined debris. The interaction impact was analysed using the contour plot and with the aid of mathematical modelling experimental fits that were identified and the results were validated utilizing the sensitivity analysis. The obtained results were optimized using the technique for order of preference by similarity to ideal solution (TOPSIS) optimization technique.
format Article
id doaj-art-1a8d7cce0e7d4b29832a02d69049e2cb
institution Kabale University
issn 1687-8442
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Advances in Materials Science and Engineering
spelling doaj-art-1a8d7cce0e7d4b29832a02d69049e2cb2025-08-20T03:54:23ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/6164599Improving Sustainability of EDM Sector by Implementing Unconventional Competitive Manufacturing ApproachK. G Sagar0P. K. Anjani1Manju Shree Raman2N. S. M. P. Latha Devi3Kamakshi Mehta4Jose Luis Arias Gonzales5Nellore Manoj Kumar6Venkatesan S7Department of Mechanical EngineeringDepartment of Management StudiesDepartment of ManagementDepartment of Engineering PhysicsAmity College of CommerceDepartment of BusinessDepartment of PhysicsSchool of Mechanical EngineeringIn this research work, an attempt was made to machine the titanium (Ti6Al4V) alloy utilizing electric discharge machining technique. The distinct process parameters and its impact on the machining performance were identified using the cause-and-effect diagram (CED). The key process parameters identified by CED diagram were current, pulse on time (Ton), aluminium oxide (Al2O3) powder concentration, and gap distance; experiments were conducted by varying the process parameters, experimental runs were designed using the Taguchi mixed orthogonal array. The experimental results revealed that improvement in material removal rate (MRR) was due to the bridging effect; reduction in tool wear rate (TWR) owing to the expansion of spark gap and enhancement in the surface roughness (Ra) was due to the complete flushing of machined debris. The interaction impact was analysed using the contour plot and with the aid of mathematical modelling experimental fits that were identified and the results were validated utilizing the sensitivity analysis. The obtained results were optimized using the technique for order of preference by similarity to ideal solution (TOPSIS) optimization technique.http://dx.doi.org/10.1155/2022/6164599
spellingShingle K. G Sagar
P. K. Anjani
Manju Shree Raman
N. S. M. P. Latha Devi
Kamakshi Mehta
Jose Luis Arias Gonzales
Nellore Manoj Kumar
Venkatesan S
Improving Sustainability of EDM Sector by Implementing Unconventional Competitive Manufacturing Approach
Advances in Materials Science and Engineering
title Improving Sustainability of EDM Sector by Implementing Unconventional Competitive Manufacturing Approach
title_full Improving Sustainability of EDM Sector by Implementing Unconventional Competitive Manufacturing Approach
title_fullStr Improving Sustainability of EDM Sector by Implementing Unconventional Competitive Manufacturing Approach
title_full_unstemmed Improving Sustainability of EDM Sector by Implementing Unconventional Competitive Manufacturing Approach
title_short Improving Sustainability of EDM Sector by Implementing Unconventional Competitive Manufacturing Approach
title_sort improving sustainability of edm sector by implementing unconventional competitive manufacturing approach
url http://dx.doi.org/10.1155/2022/6164599
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