Optimization and Modeling of Material Removal Rate in Wire-EDM of Silicon Particle Reinforced Al6061 Composite

The mechanical, physical and interfacial properties of aluminum alloys are improved by reinforcing the silicon carbide particles (SiC<sub>p</sub>). Machinability of such alloys by traditional methods is challenging due to higher tool wear and surface roughness. The objective of research...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Deepak Doreswamy, Anupkumar M. Bongale, Marcin Piekarski, Arunkumar Bongale, Satish Kumar, Danil Yurievich Pimenov, Khaled Giasin, Krzysztof Nadolny
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
T
Acceso en línea:https://doaj.org/article/abb4e6dcd73041c99e42a59e347331bf
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:abb4e6dcd73041c99e42a59e347331bf
record_format dspace
spelling oai:doaj.org-article:abb4e6dcd73041c99e42a59e347331bf2021-11-11T17:59:54ZOptimization and Modeling of Material Removal Rate in Wire-EDM of Silicon Particle Reinforced Al6061 Composite10.3390/ma142164201996-1944https://doaj.org/article/abb4e6dcd73041c99e42a59e347331bf2021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1944/14/21/6420https://doaj.org/toc/1996-1944The mechanical, physical and interfacial properties of aluminum alloys are improved by reinforcing the silicon carbide particles (SiC<sub>p</sub>). Machinability of such alloys by traditional methods is challenging due to higher tool wear and surface roughness. The objective of research is to investigate the machinability of SiC<sub>p</sub> reinforced Al6061 composite by Wire-Electrical Discharge Machining (wire-EDM). The effect of wire-EDM parameters namely current (I), pulse-on time (T<sub>on</sub>), wire-speed (W<sub>s</sub>), voltage (I<sub>v</sub>) and pulse-off time (T<sub>off</sub>) on material removal rate (MRR) is investigated and their settings are optimized for achieving the high MRR. The experiments are designed by using Taguchi L<sub>16</sub> orthogonal arrays. The MRR obtained at different experiments are analyzed using statistical tools. It is observed that all the chosen process parameters showed significant influence of on the MRR with contribution of 27.39%, 22.08%, 21.32%, 15.76% and 12.94% by I, I<sub>v</sub>, T<sub>off</sub>, T<sub>on</sub> and W<sub>s</sub>, respectively. At optimum settings, the Wire-EDM resulted in MRR of 65.21 mg/min and 62.41 mg/min for samples with 4% and 8% SiC<sub>p.</sub> The results also indicated reinforcing SiC<sub>p</sub> upto 8% showed marginally low influence on MRR. Microstructural investigation of the cut surface revealed the presence of craters with wave pattern on its surface. The top surface of the crater is featured by the recast layers connecting adjacent craters. Further, the statistical model is developed using linear regression to predict the MRR (?<sup>2</sup>—73.65%) and its predicting accuracy is verified by the confirmation trials. The statistical model is useful for predicting the MRR for different settings of the process parameters. The optimized settings can be used to improve the machining productivity by increasing the MRR while machining of Al6061-SiC<sub>p</sub> (upto 8 wt. %) alloy by wire-EDM industries.Deepak DoreswamyAnupkumar M. BongaleMarcin PiekarskiArunkumar BongaleSatish KumarDanil Yurievich PimenovKhaled GiasinKrzysztof NadolnyMDPI AGarticleWire-Electrical Discharge Machining (Wire-EDM)material removal ratewire speedaluminium compositesilicon carbide particlestaguchi methodTechnologyTElectrical engineering. Electronics. Nuclear engineeringTK1-9971Engineering (General). Civil engineering (General)TA1-2040MicroscopyQH201-278.5Descriptive and experimental mechanicsQC120-168.85ENMaterials, Vol 14, Iss 6420, p 6420 (2021)
institution DOAJ
collection DOAJ
language EN
topic Wire-Electrical Discharge Machining (Wire-EDM)
material removal rate
wire speed
aluminium composite
silicon carbide particles
taguchi method
Technology
T
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Engineering (General). Civil engineering (General)
TA1-2040
Microscopy
QH201-278.5
Descriptive and experimental mechanics
QC120-168.85
spellingShingle Wire-Electrical Discharge Machining (Wire-EDM)
material removal rate
wire speed
aluminium composite
silicon carbide particles
taguchi method
Technology
T
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Engineering (General). Civil engineering (General)
TA1-2040
Microscopy
QH201-278.5
Descriptive and experimental mechanics
QC120-168.85
Deepak Doreswamy
Anupkumar M. Bongale
Marcin Piekarski
Arunkumar Bongale
Satish Kumar
Danil Yurievich Pimenov
Khaled Giasin
Krzysztof Nadolny
Optimization and Modeling of Material Removal Rate in Wire-EDM of Silicon Particle Reinforced Al6061 Composite
description The mechanical, physical and interfacial properties of aluminum alloys are improved by reinforcing the silicon carbide particles (SiC<sub>p</sub>). Machinability of such alloys by traditional methods is challenging due to higher tool wear and surface roughness. The objective of research is to investigate the machinability of SiC<sub>p</sub> reinforced Al6061 composite by Wire-Electrical Discharge Machining (wire-EDM). The effect of wire-EDM parameters namely current (I), pulse-on time (T<sub>on</sub>), wire-speed (W<sub>s</sub>), voltage (I<sub>v</sub>) and pulse-off time (T<sub>off</sub>) on material removal rate (MRR) is investigated and their settings are optimized for achieving the high MRR. The experiments are designed by using Taguchi L<sub>16</sub> orthogonal arrays. The MRR obtained at different experiments are analyzed using statistical tools. It is observed that all the chosen process parameters showed significant influence of on the MRR with contribution of 27.39%, 22.08%, 21.32%, 15.76% and 12.94% by I, I<sub>v</sub>, T<sub>off</sub>, T<sub>on</sub> and W<sub>s</sub>, respectively. At optimum settings, the Wire-EDM resulted in MRR of 65.21 mg/min and 62.41 mg/min for samples with 4% and 8% SiC<sub>p.</sub> The results also indicated reinforcing SiC<sub>p</sub> upto 8% showed marginally low influence on MRR. Microstructural investigation of the cut surface revealed the presence of craters with wave pattern on its surface. The top surface of the crater is featured by the recast layers connecting adjacent craters. Further, the statistical model is developed using linear regression to predict the MRR (?<sup>2</sup>—73.65%) and its predicting accuracy is verified by the confirmation trials. The statistical model is useful for predicting the MRR for different settings of the process parameters. The optimized settings can be used to improve the machining productivity by increasing the MRR while machining of Al6061-SiC<sub>p</sub> (upto 8 wt. %) alloy by wire-EDM industries.
format article
author Deepak Doreswamy
Anupkumar M. Bongale
Marcin Piekarski
Arunkumar Bongale
Satish Kumar
Danil Yurievich Pimenov
Khaled Giasin
Krzysztof Nadolny
author_facet Deepak Doreswamy
Anupkumar M. Bongale
Marcin Piekarski
Arunkumar Bongale
Satish Kumar
Danil Yurievich Pimenov
Khaled Giasin
Krzysztof Nadolny
author_sort Deepak Doreswamy
title Optimization and Modeling of Material Removal Rate in Wire-EDM of Silicon Particle Reinforced Al6061 Composite
title_short Optimization and Modeling of Material Removal Rate in Wire-EDM of Silicon Particle Reinforced Al6061 Composite
title_full Optimization and Modeling of Material Removal Rate in Wire-EDM of Silicon Particle Reinforced Al6061 Composite
title_fullStr Optimization and Modeling of Material Removal Rate in Wire-EDM of Silicon Particle Reinforced Al6061 Composite
title_full_unstemmed Optimization and Modeling of Material Removal Rate in Wire-EDM of Silicon Particle Reinforced Al6061 Composite
title_sort optimization and modeling of material removal rate in wire-edm of silicon particle reinforced al6061 composite
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/abb4e6dcd73041c99e42a59e347331bf
work_keys_str_mv AT deepakdoreswamy optimizationandmodelingofmaterialremovalrateinwireedmofsiliconparticlereinforcedal6061composite
AT anupkumarmbongale optimizationandmodelingofmaterialremovalrateinwireedmofsiliconparticlereinforcedal6061composite
AT marcinpiekarski optimizationandmodelingofmaterialremovalrateinwireedmofsiliconparticlereinforcedal6061composite
AT arunkumarbongale optimizationandmodelingofmaterialremovalrateinwireedmofsiliconparticlereinforcedal6061composite
AT satishkumar optimizationandmodelingofmaterialremovalrateinwireedmofsiliconparticlereinforcedal6061composite
AT danilyurievichpimenov optimizationandmodelingofmaterialremovalrateinwireedmofsiliconparticlereinforcedal6061composite
AT khaledgiasin optimizationandmodelingofmaterialremovalrateinwireedmofsiliconparticlereinforcedal6061composite
AT krzysztofnadolny optimizationandmodelingofmaterialremovalrateinwireedmofsiliconparticlereinforcedal6061composite
_version_ 1718431961888849920