Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach
Surface integrity remains one of the major areas of concern in electric discharge machining (EDM). During the current study, grey-fuzzy logic-based hybrid optimization technique is utilized to determine the optimal settings of EDM process parameters with an aim to improve surface integrity aspects a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2015-09-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098615000294 |
| _version_ | 1811297461421998080 |
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| author | Shailesh Dewangan Soumya Gangopadhyay Chandan Kumar Biswas |
| author_facet | Shailesh Dewangan Soumya Gangopadhyay Chandan Kumar Biswas |
| author_sort | Shailesh Dewangan |
| collection | DOAJ |
| description | Surface integrity remains one of the major areas of concern in electric discharge machining (EDM). During the current study, grey-fuzzy logic-based hybrid optimization technique is utilized to determine the optimal settings of EDM process parameters with an aim to improve surface integrity aspects after EDM of AISI P20 tool steel. The experiment is designed using response surface methodology (RSM) considering discharge current (Ip), pulse-on time (Ton), tool-work time (Tw) and tool-lift time (Tup) as process parameters. Various surface integrity characteristics such as white layer thickness (WLT), surface crack density (SCD) and surface roughness (SR) are considered during the current research work. Grey relational analysis (GRA) combined with fuzzy-logic is used to determine grey fuzzy reasoning grade (GFRG). The optimal solution based on this analysis is found to be Ip = 1 A, Ton = 10 μs, Tw = 0.2 s, and Tup = 0.0 s. Analysis of variance (ANOVA) results clearly indicate that Ton is the most contributing parameter followed by Ip, for multiple performance characteristics of surface integrity. |
| first_indexed | 2024-04-13T06:04:39Z |
| format | Article |
| id | doaj.art-dcef229c841c43938956d34961970643 |
| institution | Directory Open Access Journal |
| issn | 2215-0986 |
| language | English |
| last_indexed | 2024-04-13T06:04:39Z |
| publishDate | 2015-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering Science and Technology, an International Journal |
| spelling | doaj.art-dcef229c841c43938956d349619706432022-12-22T02:59:19ZengElsevierEngineering Science and Technology, an International Journal2215-09862015-09-0118336136810.1016/j.jestch.2015.01.009Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approachShailesh DewanganSoumya GangopadhyayChandan Kumar BiswasSurface integrity remains one of the major areas of concern in electric discharge machining (EDM). During the current study, grey-fuzzy logic-based hybrid optimization technique is utilized to determine the optimal settings of EDM process parameters with an aim to improve surface integrity aspects after EDM of AISI P20 tool steel. The experiment is designed using response surface methodology (RSM) considering discharge current (Ip), pulse-on time (Ton), tool-work time (Tw) and tool-lift time (Tup) as process parameters. Various surface integrity characteristics such as white layer thickness (WLT), surface crack density (SCD) and surface roughness (SR) are considered during the current research work. Grey relational analysis (GRA) combined with fuzzy-logic is used to determine grey fuzzy reasoning grade (GFRG). The optimal solution based on this analysis is found to be Ip = 1 A, Ton = 10 μs, Tw = 0.2 s, and Tup = 0.0 s. Analysis of variance (ANOVA) results clearly indicate that Ton is the most contributing parameter followed by Ip, for multiple performance characteristics of surface integrity.http://www.sciencedirect.com/science/article/pii/S2215098615000294AISI P20 tool steelGrey-fuzzy logicMulti-response optimizationSurface integrityElectric discharge machining |
| spellingShingle | Shailesh Dewangan Soumya Gangopadhyay Chandan Kumar Biswas Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach Engineering Science and Technology, an International Journal AISI P20 tool steel Grey-fuzzy logic Multi-response optimization Surface integrity Electric discharge machining |
| title | Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach |
| title_full | Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach |
| title_fullStr | Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach |
| title_full_unstemmed | Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach |
| title_short | Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach |
| title_sort | multi response optimization of surface integrity characteristics of edm process using grey fuzzy logic based hybrid approach |
| topic | AISI P20 tool steel Grey-fuzzy logic Multi-response optimization Surface integrity Electric discharge machining |
| url | http://www.sciencedirect.com/science/article/pii/S2215098615000294 |
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