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.
