Optical Imaging‐Based 3D Reconstruction of Electrical Tree in Polypropylene Cable Insulation Under Mechanical Bending

ABSTRACT This study proposes a nondestructive optical imaging‐based three‐dimensional (3D) reconstruction method to analyse electrical tree propagation in polypropylene (PP) cable insulation under mechanical bending. The technique combines focus‐stacked optical imaging with a feature fusion algorithm to segment in‐focus regions across depth layers, enabling 3D reconstruction of electrical trees in PP homopolymer (PPH), block copolymer (PPB) and elastomer‐blended (PP/TPE) samples. The results demonstrate that mechanical bending accelerates electrical tree propagation in PPH, and that degradation channels transition from a branch‐like to a straight‐stick morphology, tending to grow directionally towards stretched regions. With a bending radius of 10 mm, the breakdown time drops from 297.0 min for the undeformed samples to 6.3 min. PPB and PP/TPE delay the time to breakdown by 70.6% and 171.2%, respectively, highlighting their superior resistance under bending stress, which is attributed to maintaining elasticity rather than yield deformation under bending stresses. This study provides a novel tool for evaluating the electrical tree resistance of PP composites under the mechanical stress, guiding the development of recyclable high‐voltage direct current cable insulation.

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Publication Details

Journal
High Voltage
Published
2025-09-18
DOI
https://doi.org/10.1049/hve2.70103
Citations
2
Primary Topic
High voltage insulation and dielectric phenomena
Type
article
Field-Weighted Citation Impact
1.04

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article

Optical Imaging‐Based 3D Reconstruction of Electrical Tree in Polypropylene Cable Insulation Under Mechanical Bending

Guoning Sun, Heyu Wang, Zhonglei Li, Boxue X. Du
2 citations
High Voltage
High voltage insulation and dielectric phenomena
1.04
article

Optical Imaging‐Based 3D Reconstruction of Electrical Tree in Polypropylene Cable Insulation Under Mechanical Bending

Guoning Sun, Heyu Wang, Zhonglei Li, Boxue X. Du
article en
2 citations

Abstract

ABSTRACT This study proposes a nondestructive optical imaging‐based three‐dimensional (3D) reconstruction method to analyse electrical tree propagation in polypropylene (PP) cable insulation under mechanical bending. The technique combines focus‐stacked optical imaging with a feature fusion algorithm to segment in‐focus regions across depth layers, enabling 3D reconstruction of electrical trees in PP homopolymer (PPH), block copolymer (PPB) and elastomer‐blended (PP/TPE) samples. The results demonstrate that mechanical bending accelerates electrical tree propagation in PPH, and that degradation channels transition from a branch‐like to a straight‐stick morphology, tending to grow directionally towards stretched regions. With a bending radius of 10 mm, the breakdown time drops from 297.0 min for the undeformed samples to 6.3 min. PPB and PP/TPE delay the time to breakdown by 70.6% and 171.2%, respectively, highlighting their superior resistance under bending stress, which is attributed to maintaining elasticity rather than yield deformation under bending stresses. This study provides a novel tool for evaluating the electrical tree resistance of PP composites under the mechanical stress, guiding the development of recyclable high‐voltage direct current cable insulation.

High VoltageVol. 10(6)
Tianjin University (CN), State Grid Corporation of China (China) (CN), System Equipment (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
High voltage insulation and dielectric phenomena
1.04
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Optical Imaging‐Based 3D Reconstruction of Electrical Tree in Polypropylene Cable Insulation Under Mechanical Bending — Guoning Sun, Heyu Wang, et al. · High Voltage (2025) | TGRS Research Map | TGRS