Influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process

This research proposes developing the new hybrid optimization techniques for getting optimized wire EDM machining parameters and analysing the performance and microstructure of hybrid treatment alloy 20 material (high-velocity oxygen fuel spraying and plasma nitriding on iron-nickel-chromium alloy)...

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Autores principales: Selvabharathi R., Ganapathy Srinivasan R., Palani S.
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Lenguaje:EN
Publicado: Sciendo 2021
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Acceso en línea:https://doaj.org/article/06db4d2a7e384a40aae0fcba8365a88e
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spelling oai:doaj.org-article:06db4d2a7e384a40aae0fcba8365a88e2021-12-05T14:11:08ZInfluence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process2083-134X10.2478/msp-2021-0003https://doaj.org/article/06db4d2a7e384a40aae0fcba8365a88e2021-08-01T00:00:00Zhttps://doi.org/10.2478/msp-2021-0003https://doaj.org/toc/2083-134XThis research proposes developing the new hybrid optimization techniques for getting optimized wire EDM machining parameters and analysing the performance and microstructure of hybrid treatment alloy 20 material (high-velocity oxygen fuel spraying and plasma nitriding on iron-nickel-chromium alloy) after machining in wire EDM. The devising optimization is carried out using back-propagation neural networks (BPNN) integrated with fuzzy logic techniques. Taguchi L27 method uses optimized parameters in 3 factors and 3 level methods to BPNN wire EDM processing parameters. Those processing parameter errors are controlled by applying fuzzy logic system in hybrid optimization techniques. The hybrid optimization provides best results (±5% error) while comparing other techniques. This proposal was started with research review of defined factors and BPNN parameters level for hidden layer number, learning algorithm, neurons numbers, and so on. The analysis of variance (ANOVA), analysis of means (ANOM) and signal to noise (S/N) ratio have been used to identify Taguchi results. The BPNN techniques have been employed significantly to tackle hidden layer's uncertain parameter structures. The fuzzy logic controllers in general have been designed engaging the relations between system performance and factor through error method calculation. The microstructure analysis showed that the no evidence was found of recast layer formation on hybrid treated material after machining in wire EDM due to compressive stress and compound layer on material surface.Selvabharathi R.Ganapathy Srinivasan R.Palani S.Sciendoarticlemeasurement optimizationnano-coatingiron-nickel-chromiummicrostructurewire edmMaterials of engineering and construction. Mechanics of materialsTA401-492ENMaterials Science-Poland, Vol 39, Iss 2, Pp 152-165 (2021)
institution DOAJ
collection DOAJ
language EN
topic measurement optimization
nano-coating
iron-nickel-chromium
microstructure
wire edm
Materials of engineering and construction. Mechanics of materials
TA401-492
spellingShingle measurement optimization
nano-coating
iron-nickel-chromium
microstructure
wire edm
Materials of engineering and construction. Mechanics of materials
TA401-492
Selvabharathi R.
Ganapathy Srinivasan R.
Palani S.
Influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process
description This research proposes developing the new hybrid optimization techniques for getting optimized wire EDM machining parameters and analysing the performance and microstructure of hybrid treatment alloy 20 material (high-velocity oxygen fuel spraying and plasma nitriding on iron-nickel-chromium alloy) after machining in wire EDM. The devising optimization is carried out using back-propagation neural networks (BPNN) integrated with fuzzy logic techniques. Taguchi L27 method uses optimized parameters in 3 factors and 3 level methods to BPNN wire EDM processing parameters. Those processing parameter errors are controlled by applying fuzzy logic system in hybrid optimization techniques. The hybrid optimization provides best results (±5% error) while comparing other techniques. This proposal was started with research review of defined factors and BPNN parameters level for hidden layer number, learning algorithm, neurons numbers, and so on. The analysis of variance (ANOVA), analysis of means (ANOM) and signal to noise (S/N) ratio have been used to identify Taguchi results. The BPNN techniques have been employed significantly to tackle hidden layer's uncertain parameter structures. The fuzzy logic controllers in general have been designed engaging the relations between system performance and factor through error method calculation. The microstructure analysis showed that the no evidence was found of recast layer formation on hybrid treated material after machining in wire EDM due to compressive stress and compound layer on material surface.
format article
author Selvabharathi R.
Ganapathy Srinivasan R.
Palani S.
author_facet Selvabharathi R.
Ganapathy Srinivasan R.
Palani S.
author_sort Selvabharathi R.
title Influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process
title_short Influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process
title_full Influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process
title_fullStr Influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process
title_full_unstemmed Influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process
title_sort influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire edm process
publisher Sciendo
publishDate 2021
url https://doaj.org/article/06db4d2a7e384a40aae0fcba8365a88e
work_keys_str_mv AT selvabharathir influenceofoptimizationtechniquesandnanosurfacecoatingmaterialsonmicrostructureofironnickelchromiumalloyusingwireedmprocess
AT ganapathysrinivasanr influenceofoptimizationtechniquesandnanosurfacecoatingmaterialsonmicrostructureofironnickelchromiumalloyusingwireedmprocess
AT palanis influenceofoptimizationtechniquesandnanosurfacecoatingmaterialsonmicrostructureofironnickelchromiumalloyusingwireedmprocess
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