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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
BUPT_ART_Kumaresh_f.pdf | 2.11 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.