用前馈神经网络评价SiR/ tio2复合材料的介电强度

IF 3.8 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Nanodielectrics Pub Date : 2020-07-06 DOI:10.1049/iet-nde.2020.0001
Shaymaa A. Qenawy, Loai S. Nasrat, Hanafy M. Ismail, Jeannette N. Asaad
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引用次数: 8

摘要

在近年来广泛应用于高压室外绝缘的绝缘材料中,硅橡胶(SiR)受到了最广泛的关注。实际上,SiR已成为解决绝缘子污染问题的有效对策。为了提高高分子材料的不同性能,微纳米填料已被应用于介电介质中。在本研究中,在SiR基体中加入微米级二氧化钛(TiO2)和纳米级二氧化钛填料,以改善其电学和力学性能。对介电强度、抗拉强度和断裂伸长率进行了监测。并对其进行了扫描电镜观察。将微tio2分别以0、10、20、30、40 wt%的质量分数混合到SiR中,并将纳米tio2分别以0、1、3、5、7 wt%的质量分数混合到SiR中。采用前馈神经网络技术对不同条件和不同填料含量下的介质强度进行了估计。添加纳米TiO2填料可以提高SiR复合材料的电性能和力学性能。纳米TiO2添加量为5 wt%时,SiR的电学性能和力学性能得到了最好的改善。
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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Evaluation of dielectric strength of SiR/TiO2 composites using feed-forward neural network

Among the recently insulating materials broadly utilized in high voltage outdoor insulation, silicone rubber (SiR) has gotten the foremost consideration. Actually, SiR is becoming an efficient countermeasure to insulator contamination issues. To enhance different properties of polymeric materials, micro- and nanofillers have been used for dielectric applications. In this study, micron-sized titanium dioxide (TiO2) and nano-sized TiO2 fillers were added to the SiR matrix to improve electrical and mechanical properties. Dielectric strength, tensile strength, and elongation at break tests were monitored. Also, a scanning electron microscope was carried out. The samples were prepared by mixing micro-TiO2 into SiR with the content of 0, 10, 20, 30, and 40 wt% and also mixing nano-TiO2 into SiR with the content of 0, 1, 3, 5, and 7 wt%. A feed-forward neural network technique was used to estimate the dielectric strength in different conditions and different percentages of fillers. Adding nano TiO2 filler enhances the electrical and mechanical properties of SiR composites. SiR with 5 wt% nano TiO2 showed the best improvement in electrical and mechanical properties.

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来源期刊
IET Nanodielectrics
IET Nanodielectrics Materials Science-Materials Chemistry
CiteScore
5.60
自引率
3.70%
发文量
7
审稿时长
21 weeks
期刊最新文献
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