Multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS
In this study, the efficiency of integration between Taguchi and TOPSIS in multi-response optimi-zation of powder mixed electrical discharge machining (PMEDM) process was evaluated. The in-put parameters, such as workpiece and tool electrode material, polarity, pulse on time (ton), pulse off time (t...
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2018-10-01
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doaj-e6b0721039474b359a31a2bd7f19b8982020-11-25T01:42:57ZengGrowing ScienceInternational Journal of Data and Network Science2561-81482561-81562018-10-012410911910.5267/j.ijdns.2018.9.001Multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS Phan H. NguyenLong T. BanhViet. D. BuiDung T. HoangIn this study, the efficiency of integration between Taguchi and TOPSIS in multi-response optimi-zation of powder mixed electrical discharge machining (PMEDM) process was evaluated. The in-put parameters, such as workpiece and tool electrode material, polarity, pulse on time (ton), pulse off time (toff), Current (I) and powder concentration have been selected to optimize two responses; namely surface roughness (Ra) and surface hardness (HV). The results show that titanium powder mixed dielectric fluid improves multi-response optimization efficiency in PMEDM. In addition, machining conditions, such as tool electrode material, powder concentration, pulse on time, polarity, current density, A×G and B×G interactions play a very important role on S/N ratio of C* whereby powder concentration has the strongest influence. TOPSIS -Taguchi is a potential method for multi-response optimization in PMEDM. However, the optimal results using ANOVA analysis show that there is a necessity to have more studies in TOPSIS-Taguchi to improve the in-tegration efficiency between two methods for optimizing multiple responses in PMEDM.http://www.growingscience.com/ijds/Vol2/ijdns_2018_10.pdfTaguchiTOPSISEDMPMEDMS/N ratioTitanium |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Phan H. Nguyen Long T. Banh Viet. D. Bui Dung T. Hoang |
spellingShingle |
Phan H. Nguyen Long T. Banh Viet. D. Bui Dung T. Hoang Multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS International Journal of Data and Network Science Taguchi TOPSIS EDM PMEDM S/N ratio Titanium |
author_facet |
Phan H. Nguyen Long T. Banh Viet. D. Bui Dung T. Hoang |
author_sort |
Phan H. Nguyen |
title |
Multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS |
title_short |
Multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS |
title_full |
Multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS |
title_fullStr |
Multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS |
title_full_unstemmed |
Multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using Taguchi-TOPSIS |
title_sort |
multi-response optimization of process parameters for powder mixed electro-discharge machining according to the surface roughness and surface micro-hardness using taguchi-topsis |
publisher |
Growing Science |
series |
International Journal of Data and Network Science |
issn |
2561-8148 2561-8156 |
publishDate |
2018-10-01 |
description |
In this study, the efficiency of integration between Taguchi and TOPSIS in multi-response optimi-zation of powder mixed electrical discharge machining (PMEDM) process was evaluated. The in-put parameters, such as workpiece and tool electrode material, polarity, pulse on time (ton), pulse off time (toff), Current (I) and powder concentration have been selected to optimize two responses; namely surface roughness (Ra) and surface hardness (HV). The results show that titanium powder mixed dielectric fluid improves multi-response optimization efficiency in PMEDM. In addition, machining conditions, such as tool electrode material, powder concentration, pulse on time, polarity, current density, A×G and B×G interactions play a very important role on S/N ratio of C* whereby powder concentration has the strongest influence. TOPSIS -Taguchi is a potential method for multi-response optimization in PMEDM. However, the optimal results using ANOVA analysis show that there is a necessity to have more studies in TOPSIS-Taguchi to improve the in-tegration efficiency between two methods for optimizing multiple responses in PMEDM. |
topic |
Taguchi TOPSIS EDM PMEDM S/N ratio Titanium |
url |
http://www.growingscience.com/ijds/Vol2/ijdns_2018_10.pdf |
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