Optimization of Vegetable Oil Properties in Machining Environment Through CFD
Various vegetable oils were widely used as a lubricant in machining since 1990‘s. However during machining of various materials, various vegetable oils gave superior performance related to other oils which is due to their individual thermo physical properties. So that the prediction of influencing p...
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Veröffentlicht in: | International journal of innovative technology and exploring engineering 2019-10, Vol.8 (12), p.644-649 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | Various vegetable oils were widely used as a lubricant in machining since 1990‘s. However during machining of various materials, various vegetable oils gave superior performance related to other oils which is due to their individual thermo physical properties. So that the prediction of influencing properties of various vegetable oils novel technique. Therefore in the present work turning of AISI 304 steel with carbide tool is taken as a case study for ascertaining the influence of vegetable oil properties in the machining environment. Among the fluid properties, properties such as viscosity, thermal conductivity, density and specific heat are taken for optimization. For optimization of fluid properties initially DOE Technique has been adopted, using which L16 orthogonal array has been formed for carrying out the simulations. CFD analysis with proper boundary conditions has been adopted for predictions the generated temperature at a constant distance from tool tip. From the obtained results, it is perceived that thermal conductivity is performed a major role to reducing of generated temperature within the tool followed by viscosity and specific heat whereas effect of density on generated temperature is found to be least significant. Therefore the present work highlights the combinations of DOE approach and CFD analysis in predicting the influence of vegetable oil properties and their values in the machining environment |
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ISSN: | 2278-3075 2278-3075 |
DOI: | 10.35940/ijitee.K1952.1081219 |