Optimization of Size Effect of Boron Nitride on Thermoelectric Properties of Silicone Resin

Traction motors are continuously advancing toward higher power density and miniaturization, leading to increasingly critical heat dissipation challenges. To mitigate the degradation of insulation materials caused by elevated temperatures, stricter requirements have been imposed on the thermal conductivity ( λ ) of silicone resin (SR) used in stator insulation systems. In this study, composite is fabricated by incorporating boron nitride (BN) particles of varying sizes into a SR matrix. The influence of BN particle size and filler loading on the microstructure, thermal conductivity, and electrical properties of the composites is systematically investigated. At identical filler concentrations, micron‐sized BN enhances the thermal conductivity of the composites more effectively than nano‐sized BN. Specifically, when 20 wt.% of 5 μm BN is incorporated, the composite achieves a maximum thermal conductivity of 0.73 W/(m K), representing a 247% improvement over pure SR. Finite element simulations further demonstrate that larger BN particles facilitate the formation of efficient thermal conduction pathways within the matrix. Importantly, the sample with the best λ retains excellent electrical insulation properties, which with a breakdown field strength ( E b ) of 25.25 kV/mm and superior dielectric characteristics. This study presents a promising strategy for the design of advanced insulation materials tailored for high‐voltage traction motors.

Authors

Institutions

Publication Details

Journal
Advanced Engineering Materials
Published
2026-05-16
DOI
https://doi.org/10.1002/adem.70904
Primary Topic
Thermal properties of materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Size Effect of Boron Nitride on Thermoelectric Properties of Silicone Resin

Zhou Yang, Dong Yue, Qiang Fu, Xuesong Chen et al.
Advanced Engineering Materials
Thermal properties of materials
article

Optimization of Size Effect of Boron Nitride on Thermoelectric Properties of Silicone Resin

Zhou Yang, Dong Yue, Qiang Fu, Xuesong Chen, Yu Feng, Dongyu Hou
article en

Abstract

Traction motors are continuously advancing toward higher power density and miniaturization, leading to increasingly critical heat dissipation challenges. To mitigate the degradation of insulation materials caused by elevated temperatures, stricter requirements have been imposed on the thermal conductivity ( λ ) of silicone resin (SR) used in stator insulation systems. In this study, composite is fabricated by incorporating boron nitride (BN) particles of varying sizes into a SR matrix. The influence of BN particle size and filler loading on the microstructure, thermal conductivity, and electrical properties of the composites is systematically investigated. At identical filler concentrations, micron‐sized BN enhances the thermal conductivity of the composites more effectively than nano‐sized BN. Specifically, when 20 wt.% of 5 μm BN is incorporated, the composite achieves a maximum thermal conductivity of 0.73 W/(m K), representing a 247% improvement over pure SR. Finite element simulations further demonstrate that larger BN particles facilitate the formation of efficient thermal conduction pathways within the matrix. Importantly, the sample with the best λ retains excellent electrical insulation properties, which with a breakdown field strength ( E b ) of 25.25 kV/mm and superior dielectric characteristics. This study presents a promising strategy for the design of advanced insulation materials tailored for high‐voltage traction motors.

Advanced Engineering Materials
Harbin University of Science and Technology (CN), Harbin University (CN), Harbin Foresty Machinery Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 10%
Thermal properties of materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.