Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/7237
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dc.contributor.authorKumaresh, S.S.-
dc.contributor.authorMalleswaran, M.-
dc.date.accessioned2025-02-20T10:15:20Z-
dc.date.available2025-02-20T10:15:20Z-
dc.date.issued2018-
dc.identifier.citationKumaresh,S.S.; Malleswaran,M.: Multi-response optimization for nano fluids based mixed insulating fluids using RSM based desirability analysis. Timişoara: Editura Politehnica, 2018.en_US
dc.identifier.issn1582-4594-
dc.identifier.urihttps://dspace.upt.ro/xmlui/handle/123456789/7237-
dc.description.abstractThe present work is aimed to predict the process parameters on a novel insulating fluids using Response surface methodology based desirability function analysis for the sustainability of Transformer oil application. A three factor and three levels Box- Behnken design is used to perform the experiments. Experiments were carried out by adopting a three factors and three levels Box-Behnken design methodology. Analysis of variance was applied to investigate the influence of process parameters and their interactions viz., Weight percentage of ZrO2 (Wt%), Stirring Temperature (°C) and Weight percentage of CNT (Wt%) on Break Down voltage, Fire Point and Viscosity. With the suitable mathematical models established, a search optimization procedure based on the use of desirability function was used to optimize the performance characteristic. For optimal conditions, a thermal degradation and bonding of cellulose for solid insulation aged in optimized liquid dielectric were characterized through Kraft Paper Surface Texture Analysis.en_US
dc.language.isoenen_US
dc.publisherTimișoara : Editura Politehnicaen_US
dc.relation.ispartofseriesJournal of Electrical Engineering;Vol 18 No 3-
dc.subjectPongamia Pinnataen_US
dc.subjectZrO2en_US
dc.subjectCNTen_US
dc.subjectBreakdown Voltageen_US
dc.subjectBox-Behnken Designen_US
dc.subjectOptimizationen_US
dc.titleMulti-response optimization for nano fluids based mixed insulating fluids using RSM based desirability analysis [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

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