{"title":"Optimization of Filler Loading of Multi-Particle Mineral Oil Nanofluid for Transformer Insulation","authors":"S. Sarov Mohan, P. Preetha","doi":"10.1109/ICD46958.2020.9341838","DOIUrl":null,"url":null,"abstract":"Transformers are critical components of electric power transmission and distribution system. Mineral oil (MO) based multi-particle nanofluid (MPNF) were prepared with an intention to enhance electrical properties of MO by incorporating $A1_{2}O_{3}$ and TiO2 nanoparticles. Filler loading concentration and mixing ratio, which is the ratio between $A1_{2}O_{3}$ and TiO2 nanoparticle content is optimized by analyzing the simulation results. AC breakdown strength of the prepared samples were measured. It is found that, MPNF sample having a filler loading concentration of 0.1weight percentage (wt%) and mixing ratio of 9:1 shows highest AC breakdown strength. This sample shows an enhancement of 38.4%, 15.86%, and 17.41%, w.r.t pure oil, $A1_{2}O_{3}$ and TiO2 NFs having same filler loading concentration.","PeriodicalId":6795,"journal":{"name":"2020 IEEE 3rd International Conference on Dielectrics (ICD)","volume":"14 1","pages":"712-715"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 3rd International Conference on Dielectrics (ICD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICD46958.2020.9341838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Transformers are critical components of electric power transmission and distribution system. Mineral oil (MO) based multi-particle nanofluid (MPNF) were prepared with an intention to enhance electrical properties of MO by incorporating $A1_{2}O_{3}$ and TiO2 nanoparticles. Filler loading concentration and mixing ratio, which is the ratio between $A1_{2}O_{3}$ and TiO2 nanoparticle content is optimized by analyzing the simulation results. AC breakdown strength of the prepared samples were measured. It is found that, MPNF sample having a filler loading concentration of 0.1weight percentage (wt%) and mixing ratio of 9:1 shows highest AC breakdown strength. This sample shows an enhancement of 38.4%, 15.86%, and 17.41%, w.r.t pure oil, $A1_{2}O_{3}$ and TiO2 NFs having same filler loading concentration.