Multi-Response Optimization for Nano fluids based Mixed insulating fluids using RSM based Desirability Analysis
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Sep 13, 2018
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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 level Box-Behnken design is used to perform the experiments. Experiments were carried out by adopting a three factor and three level Box-Behnken design methodology. Analysis of variance was applied to investigate the influence of process parameters and their
interactions viz., Wt% of ZrO2 (%), Stirring Temperature (Degree Celsius) and Wt% of CNT (%) 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.
interactions viz., Wt% of ZrO2 (%), Stirring Temperature (Degree Celsius) and Wt% of CNT (%) 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.