2019
DOI: 10.1007/s10854-019-02166-3
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Surface trap effects on flashover voltages of epoxy/Al2O3 nanocomposites for high voltage insulation

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Cited by 11 publications
(5 citation statements)
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“…It is speculated to be caused by more impurities in samples with more nanoparticles, and electric resistivity may be significantly reduced if more nanoparticles are added. As to the breakdown strength, a very important parameter of insulating materials, it reached the maximum at a relatively low nanofiller content as reported [13,19,20]. Therefore, a wide range of physics properties of epoxy/TiO 2 nanocomposites including maximum service temperature should all be considered to determine the best loading content of nano-TiO 2 in the engineering application as high voltage insulating materials.…”
Section: Discussionmentioning
confidence: 99%
“…It is speculated to be caused by more impurities in samples with more nanoparticles, and electric resistivity may be significantly reduced if more nanoparticles are added. As to the breakdown strength, a very important parameter of insulating materials, it reached the maximum at a relatively low nanofiller content as reported [13,19,20]. Therefore, a wide range of physics properties of epoxy/TiO 2 nanocomposites including maximum service temperature should all be considered to determine the best loading content of nano-TiO 2 in the engineering application as high voltage insulating materials.…”
Section: Discussionmentioning
confidence: 99%
“…As shown in figure 8, we compare the increase of flashover voltage with the existing works on flashover voltage improvement in recent years. Studies [14,33,36,37] and [29,[38][39][40][41] refer to the doping of chemically modified and plasmamodified fillers, respectively. Research of [25,[42][43][44][45][46] chose direct surface modification by coating or plasma treatment.…”
Section: Surface Flashovermentioning
confidence: 99%
“…The financial support for this work was provided by DST, Government of India (grant no EMR/20l6/005246) and FIST grant of DST, Government of India (grant no SR/FST/ETI-362/2014(C)). Gao et al [39] 0.70-0.85 Yu et al [40] 0.90-1.05 Neelmani et al [38] 0…”
Section: Acknowledgmentsmentioning
confidence: 99%