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

Vojnotehnicki Glasnik Pub Date : 2022-01-01 DOI:10.5937/vojtehg70-35764

J. Ofodu, J. Abifarin

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引用次数: 7

Abstract

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

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基于概率的多响应优化在高压热流体中的应用

简介/用途:高压工程应用流体的研究人员在选择和推荐适合高压应用的特定流体时经常遇到问题。这是由于高压设备所需的流体具有双重功能。方法:将基于概率的多目标优化技术引入并应用于高压热流体的选择。根据油的期望性质，采用有利和不利的优选概率效用指标。结果:与其他产出液相比，Al2O3含量为0.6 wt%的纳米流体是高压设备最有希望的候选者。值得注意的是，与标准油相比，椰子油表现出更好的性能效率。这项研究还确定，生产的麻疯树油是不够的高压设备。结论:建议对0.6 wt% Al2O3纳米流体和椰子油在高压设备中的最终使用进行初步研究，并改善麻疯树油在高压设备中的使用性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Vojnotehnicki Glasnik

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审稿时长

12 weeks