Multi-response optimization for nano fluids based mixed insulating fluids using RSM based desirability analysis [articol]

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.