Employment of probability-based multi-response optimization in high voltage thermofluids

Introduction/purpose: Researchers of fluids for high voltage engineering application always experience problems when selecting and recommending specific suitable application. This is due to the dual functionality required equipment. Methods: study introduced employed a probability-based multi-objective optimization technique in selection thermofluids. Beneficial unbeneficial preferable probability utility indexes were based on desired properties oils. Results: It was shown that nanofluid with 0.6 wt% Al2O3 most promising candidate equipment compared other produced considered. also noteworthy state coconut oil exhibited better performance efficiency standard oil. identifies Jatropha inadequate Conclusion: In conclusion, preliminary essential final usage nanofluids recommended as well improvement characteristics