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Micro/nanocellulose doped insulating paper will enhance the mechanical properties, but it possesses different aspect ratios and plays different effects in filled insulating paper. Therefore, in this paper, multiscale doped modified insulating papers with different mass fractions were prepared to explore their optimal matching, and analyze the modification mechanism of multiscale mixed doped insulating papers and their advantages. Meanwhile, based on the Halpin-Tsai model, the Young’s modulus prediction of multiscale doped system and single-scale doped insulating paper was realized, and the optimal ratio of multiscale mixed doping was derived based on the modified mechanical model. The experimental results show that this multiscale mixed doping modified insulating paper and the mechanical model are of great significance to improve the mechanical properties of insulating paper and its prediction.

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Mechanical Properties and Mechanical Model of Insulating Paper Modified by Doping with Micro/Nanocellulose

  • 会议论文

  • 发表日期：

    2026年

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  • Siyu Wang,
  • Daning Zhang,
  • Wenrui Tian,
  • Xinnan Zhai,
  • Dingqian Yang,
  • Guanjun Zhang

摘要

Micro/nanocellulose doped insulating paper will enhance the mechanical properties, but it possesses different aspect ratios and plays different effects in filled insulating paper. Therefore, in this paper, multiscale doped modified insulating papers with different mass fractions were prepared to explore their optimal matching, and analyze the modification mechanism of multiscale mixed doped insulating papers and their advantages. Meanwhile, based on the Halpin-Tsai model, the Young’s modulus prediction of multiscale doped system and single-scale doped insulating paper was realized, and the optimal ratio of multiscale mixed doping was derived based on the modified mechanical model. The experimental results show that this multiscale mixed doping modified insulating paper and the mechanical model are of great significance to improve the mechanical properties of insulating paper and its prediction.