Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/7237
Title: Multi-response optimization for nano fluids based mixed insulating fluids using RSM based desirability analysis [articol]
Authors: Kumaresh, S.S.
Malleswaran, M.
Subjects: Pongamia Pinnata
ZrO2
CNT
Breakdown Voltage
Box-Behnken Design
Optimization
Issue Date: 2018
Publisher: Timișoara : Editura Politehnica
Citation: Kumaresh,S.S.; Malleswaran,M.: Multi-response optimization for nano fluids based mixed insulating fluids using RSM based desirability analysis. Timişoara: Editura Politehnica, 2018.
Series/Report no.: Journal of Electrical Engineering;Vol 18 No 3
Abstract: The 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.
URI: https://dspace.upt.ro/xmlui/handle/123456789/7237
ISSN: 1582-4594
Appears in Collections:Articole științifice/Scientific articles

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