Optimization of electric discharge machining parameters on titanium alloy (ti-6al-4v) using Taguchi parametric design and genetic algorithm

The aim of this research work is to analyze the significant of process variables and find the optimum process variables in electric discharge machining (EDM) of Titanium alloy (Ti-6Al-4V) .The variables considered are peak current, pulse-on-time and pulse-off-time where as the responses are Material...

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Main Authors: Umanath K., Devika D.
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Subjects:
EDM
Online Access:https://doi.org/10.1051/matecconf/201817204007
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spelling doaj-ed2758f3e1984d059bd0b1e8eab087f72021-02-02T02:30:54ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011720400710.1051/matecconf/201817204007matecconf_icdams2018_04007Optimization of electric discharge machining parameters on titanium alloy (ti-6al-4v) using Taguchi parametric design and genetic algorithmUmanath K.Devika D.The aim of this research work is to analyze the significant of process variables and find the optimum process variables in electric discharge machining (EDM) of Titanium alloy (Ti-6Al-4V) .The variables considered are peak current, pulse-on-time and pulse-off-time where as the responses are Material Removal Rate(MRR) and Surface Roughness(SR). MITSUBISHI EA8 spark erosion machine is employed for this work and copper tungsten electrode of ∅14 mm is used in experimental trials. The experimental runs are done based on Taguchi L27 orthogonal array. The signal-to-noise ratio, the analysis of variance (ANOVA), regression analysis and Genetic algorithm are used to determine the optimal levels of machining parameters on Metal removal rate and Surface roughness. Confirmation tests also done with the optimal levels of machining variables. Comparison of Taguchi’s and Genetic algorithm were employed to analyze the effective optimum value.https://doi.org/10.1051/matecconf/201817204007EDMTi–6Al–4V alloyPeak currentPulse-on-timeTaguchi method
collection DOAJ
language English
format Article
sources DOAJ
author Umanath K.
Devika D.
spellingShingle Umanath K.
Devika D.
Optimization of electric discharge machining parameters on titanium alloy (ti-6al-4v) using Taguchi parametric design and genetic algorithm
MATEC Web of Conferences
EDM
Ti–6Al–4V alloy
Peak current
Pulse-on-time
Taguchi method
author_facet Umanath K.
Devika D.
author_sort Umanath K.
title Optimization of electric discharge machining parameters on titanium alloy (ti-6al-4v) using Taguchi parametric design and genetic algorithm
title_short Optimization of electric discharge machining parameters on titanium alloy (ti-6al-4v) using Taguchi parametric design and genetic algorithm
title_full Optimization of electric discharge machining parameters on titanium alloy (ti-6al-4v) using Taguchi parametric design and genetic algorithm
title_fullStr Optimization of electric discharge machining parameters on titanium alloy (ti-6al-4v) using Taguchi parametric design and genetic algorithm
title_full_unstemmed Optimization of electric discharge machining parameters on titanium alloy (ti-6al-4v) using Taguchi parametric design and genetic algorithm
title_sort optimization of electric discharge machining parameters on titanium alloy (ti-6al-4v) using taguchi parametric design and genetic algorithm
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description The aim of this research work is to analyze the significant of process variables and find the optimum process variables in electric discharge machining (EDM) of Titanium alloy (Ti-6Al-4V) .The variables considered are peak current, pulse-on-time and pulse-off-time where as the responses are Material Removal Rate(MRR) and Surface Roughness(SR). MITSUBISHI EA8 spark erosion machine is employed for this work and copper tungsten electrode of ∅14 mm is used in experimental trials. The experimental runs are done based on Taguchi L27 orthogonal array. The signal-to-noise ratio, the analysis of variance (ANOVA), regression analysis and Genetic algorithm are used to determine the optimal levels of machining parameters on Metal removal rate and Surface roughness. Confirmation tests also done with the optimal levels of machining variables. Comparison of Taguchi’s and Genetic algorithm were employed to analyze the effective optimum value.
topic EDM
Ti–6Al–4V alloy
Peak current
Pulse-on-time
Taguchi method
url https://doi.org/10.1051/matecconf/201817204007
work_keys_str_mv AT umanathk optimizationofelectricdischargemachiningparametersontitaniumalloyti6al4vusingtaguchiparametricdesignandgeneticalgorithm
AT devikad optimizationofelectricdischargemachiningparametersontitaniumalloyti6al4vusingtaguchiparametricdesignandgeneticalgorithm
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