Optimization of process parameters through GRA, TOPSIS and RSA models
This article investigates the effect of cutting parameters on the surface roughness and flank wear during machining of titanium alloy Ti-6Al-4V ELI( Extra Low Interstitial) in minimum quantity lubrication environment by using PVD TiAlN insert. Full factorial design of experiment was used for the mac...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2018-01-01
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| Series: | International Journal of Industrial Engineering Computations |
| Subjects: | |
| Online Access: | http://www.growingscience.com/ijiec/Vol9/IJIEC_2017_11.pdf |
| _version_ | 1818154911779520512 |
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| author | Suresh Nipanikar Vikas Sargade Ramesh Guttedar |
| author_facet | Suresh Nipanikar Vikas Sargade Ramesh Guttedar |
| author_sort | Suresh Nipanikar |
| collection | DOAJ |
| description | This article investigates the effect of cutting parameters on the surface roughness and flank wear during machining of titanium alloy Ti-6Al-4V ELI( Extra Low Interstitial) in minimum quantity lubrication environment by using PVD TiAlN insert. Full factorial design of experiment was used for the machining 2 factors 3 levels and 2 factors 2 levels. Turning parameters studied were cutting speed (50, 65, 80 m/min), feed (0.08, 0.15, 0.2 mm/rev) and depth of cut 0.5 mm constant. The results show that 44.61 % contribution of feed and 43.57 % contribution of cutting speed on surface roughness also 53.16 % contribution of cutting tool and 26.47 % contribution of cutting speed on tool flank wear. Grey relational analysis and TOPSIS method suggest the optimum combinations of machining parameters as cutting speed: 50 m/min, feed: 0.8 mm/rev., cutting tool: PVD TiAlN, cutting fluid: Palm oi |
| first_indexed | 2024-12-11T14:34:02Z |
| format | Article |
| id | doaj.art-30d971dd944d4003b33d10df6383e8bb |
| institution | Directory Open Access Journal |
| issn | 1923-2926 1923-2934 |
| language | English |
| last_indexed | 2024-12-11T14:34:02Z |
| publishDate | 2018-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | International Journal of Industrial Engineering Computations |
| spelling | doaj.art-30d971dd944d4003b33d10df6383e8bb2022-12-22T01:02:16ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342018-01-019113715410.5267/j.ijiec.2017.3.007Optimization of process parameters through GRA, TOPSIS and RSA modelsSuresh NipanikarVikas SargadeRamesh Guttedar This article investigates the effect of cutting parameters on the surface roughness and flank wear during machining of titanium alloy Ti-6Al-4V ELI( Extra Low Interstitial) in minimum quantity lubrication environment by using PVD TiAlN insert. Full factorial design of experiment was used for the machining 2 factors 3 levels and 2 factors 2 levels. Turning parameters studied were cutting speed (50, 65, 80 m/min), feed (0.08, 0.15, 0.2 mm/rev) and depth of cut 0.5 mm constant. The results show that 44.61 % contribution of feed and 43.57 % contribution of cutting speed on surface roughness also 53.16 % contribution of cutting tool and 26.47 % contribution of cutting speed on tool flank wear. Grey relational analysis and TOPSIS method suggest the optimum combinations of machining parameters as cutting speed: 50 m/min, feed: 0.8 mm/rev., cutting tool: PVD TiAlN, cutting fluid: Palm oihttp://www.growingscience.com/ijiec/Vol9/IJIEC_2017_11.pdfTi6Al4V ELISurface roughnessFlank wearPVD TiAlNMQL |
| spellingShingle | Suresh Nipanikar Vikas Sargade Ramesh Guttedar Optimization of process parameters through GRA, TOPSIS and RSA models International Journal of Industrial Engineering Computations Ti6Al4V ELI Surface roughness Flank wear PVD TiAlN MQL |
| title | Optimization of process parameters through GRA, TOPSIS and RSA models |
| title_full | Optimization of process parameters through GRA, TOPSIS and RSA models |
| title_fullStr | Optimization of process parameters through GRA, TOPSIS and RSA models |
| title_full_unstemmed | Optimization of process parameters through GRA, TOPSIS and RSA models |
| title_short | Optimization of process parameters through GRA, TOPSIS and RSA models |
| title_sort | optimization of process parameters through gra topsis and rsa models |
| topic | Ti6Al4V ELI Surface roughness Flank wear PVD TiAlN MQL |
| url | http://www.growingscience.com/ijiec/Vol9/IJIEC_2017_11.pdf |
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