Optimization Design for Thermal Conductivity of Graphene-modified Copper-based Electrical Contact Composite Materials

WANG Mengxi; HAN Zhiyun; LI Junke; REN Hanwen; LI Qingmin; DING Yi

doi:10.13296/j.1001-1609.hva.2026.07.017

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Optimization Design for Thermal Conductivity of Graphene-modified Copper-based Electrical Contact Composite Materials

Research & Analysis | 更新时间：2026-07-06

- Optimization Design for Thermal Conductivity of Graphene-modified Copper-based Electrical Contact Composite Materials
- High Voltage Apparatus Vol. 62, Issue 7, Pages: 166-174(2026)
- 作者机构：
  
  华北电力大学新能源电力系统国家重点实验室，北京 102206
  国网智能电网研究院有限公司，北京 102200
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2026.07.017
  CLC：
- Received：03 December 2025，
  
  Revised：2026-02-25，
  
  Published：16 July 2026
- 稿件说明：
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WANG Mengxi, HAN Zhiyun, LI Junke, et al. Optimization Design for Thermal Conductivity of Graphene-modified Copper-based Electrical Contact Composite Materials[J]. High Voltage Apparatus, 2026, 62(7): 166-174.
DOI：

WANG Mengxi, HAN Zhiyun, LI Junke, et al. Optimization Design for Thermal Conductivity of Graphene-modified Copper-based Electrical Contact Composite Materials[J]. High Voltage Apparatus, 2026, 62(7): 166-174. DOI： 10.13296/j.1001-1609.hva.2026.07.017.

摘要

随着中国新能源电力系统向更高电压等级、大容量化方向发展，断路器触头的服役性能受到了严峻的挑战，其关键在于高能电弧所产生的热量积聚引起的表面烧蚀，因此亟需设计高导热铜基复合材料以提高触头的抗烧蚀性能。石墨烯因其热性能突出被广泛应用于提升金属基复合材料的导热性能，为此文中构建了不同石墨烯排列取向、尺寸以及层数的复合分子模型，探究了温度和石墨烯掺杂结构参数对复合材料热导率的影响，分析了石墨烯对复合材料导热性能的微观增强机制，优化设计了更高抗烧蚀性能铜基复合材料并通过实验进行了验证。结果表明：石墨烯复合材料的热导率与温度成反比，但均高于纯铜基体热导率；石墨烯排列取向与热流方向夹角处于0°～8.19°之间时能有效提高复合材料热导率；复合材料热导率随石墨烯尺寸、层数增大而增大，掺杂排列角度为0°、尺寸为378.84 Å的5层石墨烯时，复合材料的热导率提升最为显著，较纯铜模型提高了72.7%。文中可为工程上高性能铜基复合材料的优化设计提供理论指导与技术支撑。

Abstract

With the development of China's new energy power system toward higher voltage levels and larger capacities

the service performance of circuit breaker contacts faces severe challenges.The key problem is the surface ablation caused by heat accumulation generated by high-energy arcs. It is therefore necessary to design high thermal conductivity copper-based composite materials to enhance the ablation resistance of the contacts. Graphene is widely used to improve the thermal conductivity of metal matrix composites owning to its exceptional thermal properties. Accordingly

in this study a composite molecular model featuring various graphene arrangement orientations

dimensions and layer counts is set up. The influence of temperature and graphene dopping structural parameters on the thermal conductivity of composites is explored

the microscopic enhancement mechanism of graphene on the thermal conductivity of composites is analyzed

and the copper-based composites with higher ablation resistance are optimally designed and experimentally verified. The results show that the thermal conductivity of graphene composites is inversely proportional to temperature

but both are higher than those of pure copper matrix. When the included angle between the orientation of graphene arrangement and the direction of heat flow is between 0°～8.19°

the thermal conductivity of the composite can be effectively improved.The thermal conductivity of the composite is increased with the increase of graphene dimension and number of layers and

when the dopping arrangement angle is 0°and the dimension of 5 layers of graphene is 378.84Å

the thermal conductivity improvement of the composite is remarkable

which is 72.7% higher than that of the pure copper model. This paper can provide theoretical guidance and technical support for the optimal design of high-performance copper-based composites in engineering.

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references

袁昊,刘宇航,孙洁,等.“双碳”背景下新能源并网储能容量优化配置方法[J].电网与清洁能源,2024,40(9):134-140.

Yuan Hao, Liu Yuhang, Sun Jie, et al.Energy storage capacity optimization allocation methods for grid-connected new energy under dual-carbon background[J]. Power System and Clean Energy, 2024,40(9):134-140.

游铭豪,顾洁,储琳琳,等.“双碳”背景下结合系统动力学和弹性网络回归的区域电力需求中长期预测方法[J].供用电, 2024,41(7):72-83.

You Minghao, Gu Jie, Chu Linlin, et al. A mid-long regional electricity demand forecasting method based on system dynamics and elastic network regression under dual carbon targets[J]. Distribution & Utilization,2024,41(7):72-83.

崔茗莉,冯天天,刘利利.双碳目标下区块链与可再生能源的融合发展研究[J].智慧电力,2024,52(2):17-24.

Cui Mingli, Feng Tiantian, Liu Lili.Integration and development of blockchain and renewable energy under double carbon target[J]. Smart Power,2024,52(2):17-24.

吴应双,刘蔚,刘明顺,等.规模化新能源接入电网下的多区域协同算法[J].南方电网技术,2025,19(9):172-186.

Wu Yingshuang, Liu Wei, Liu Mingshun, et al.Multi-area cooperative algorithm under large-scale new energy access to power grid[J]. Southern Power System Technology,2025,19(9):172-186.

左剑,钟雅珊,包博,等.考虑新能源不确定性的电网运行调度多目标优化模型[J].电网与清洁能源,2025,41(3):152-158.

Zuo Jian, Zhong Yashan, Bao Bo, et al.A multi - objective optimization model of power grid operation and dispatching considering uncertainty of new energy[J]. Power System and Clean Energy,2025,41(3):152-158.

许琴,刘一鸣,陈志刚,等.负荷水平约束条件下新能源出力场景生成新方法[J].南方电网技术,2025,19(1):51-62.

Xu Qin, Liu Yiming, Chen Zhigang, et al.A new method for generating new energy output scenarios with load level constraints[J]. Southern Power System Technology,2025,19(1):51-62.

汪楠楠,卢宇,唐浩,等.应用于新能源孤岛经柔直送出系统的交流耗能优化投切策略[J].电力建设,2024,45(12):187-194.

Wang Nannan, Lu Yu, Tang Hao, et al. Improved switching strategies of AC energy consumption devices for VSC-HVDC system with renewable energy integration in island mode[J]. Electric Power Construction,2024,45(12):187-194.

张秀琦,刘鸿清,王立强,等.基于Koopman算子的新能源高占比电网暂态电压失稳识别方法[J].电力科学与技术学报,2025,40 (2):10-20.

Zhang Xiuqi, Liu Hongqing, Wang Liqiang, et al. Transient voltage instability identification based on Koopman operator in power grid with a high proportion of renewables[J]. Journal of Electric Power Science and Technology,2025,40(2):10-20.

沈赋,曹旸,徐潇源,等.高比例可再生能源电力系统惯量预测方法研究综述[J].电力建设,2025,46(8):116-128.

Shen Fu, Cao Yang, Xu Xiaoyuan, et al. A review of inertia prediction methods for power system with high penetration renewable energy sources[J]. Electric Power Construction,2025,46 (8):116-128.

张鹏辉,肖东亮,华栋,等.高比例可再生能源电力系统的动态频率安全约束机组组合[J].供用电,2025,42(2):90-99.

Zhang Penghui, Xiao Dongliang, Hua Dong, et al. Dynamic frequency security constraints unit commitment for high shares of renewables power systems[J].Distribution & Utilization,2025,42 (2):90-99.

方必武,范展滔,王科,等.考虑储能荷电越限的高比例可再生能源系统的源荷储协调优化[J].供用电,2024,41(7):92-98.

Fang Biwu, Fan Zhantao, Wang Ke, et al. Coordinated optimization of source-load-storage for a high-proportion renewable energy system considering the overcharge of energy storage[J]. Distribution&Utilization,2024,41(7):92-98.

和萍,刘鑫,宫智杰,等.高比例可再生能源电力系统源荷储联合调峰分层优化运行[J].电力系统保护与控制,2024,52(18):112-122.

He Ping, Liu Xin, Gong Zhijie, et al. Hierarchical optimization operation model for joint peak-load regulation of source-loadstorage in a high proportion of renewable energy power system[J]. Power System Protection and Control,2024,52(18):112-122.

赵浩然,张卓文,杨震,等.数字中国与碳中和战略下数字经济对可再生能源发展的影响研究[J].智慧电力,2025,53(8):54-61.

Zhao Haoran, Zhang Zhuowen, Yang Zhen, et al.Research on impact of digital economy on renewable energy development under digital china and carbon neutrality strategy[J]. Smart Power,2025, 53(8):54-61.

李庆民,于万水,赵继尧.支撑“双碳”目标的风光发电装备安全运行关键技术[J].高电压技术,2021,47(9):3047-3060.

Li Qingmin, Yu Wanshui, Zhao Jiyao. Key technologies for the safe operation of wind and solar power generation equipment in support of the“peak CO 2 emissions and carbon neutrality”policy[J ] . High Voltage Engineering,2021,47(9):3047-3060.

苌瑶,武建文,马速良,等.基于多特征评估与XGBoost的高压断路器故障诊断[J].高压电器,2023,59(4):1-9.

Chang Yao, Wu Jianwen, Ma Suliang, et al. Fault diagnosis of high voltage circuit breaker based on multi-feature assessment and XGBoost[J]. High Voltage Apparatus,2023,59(4):1-9.

范敏,陈功,蓝磊,等.SF 6 断路器弧触头电烧蚀试验及状态诊断[J ] .高压电器,2016,52(6):141-146.

Fan Min, Chen Gong, Lan Lei, et al. Electrical erosion experiment and state diagnosis on arcing contact of SF 6 circuit breaker[J ] . High Voltage Apparatus,2016,52(6):141-146.

韩智云,任瀚文,王梦溪,等.石墨烯增强铜钨合金触头耐磨损性能的分子模拟[J].中国电机工程学报,2023,43(10):40224033.

Han Zhiyun, Ren Hanwen, Wang Mengxi, et al. Molecular simulation of anti-abrasion property of graphene-reinforced coppertungsten alloy contacts[J]. Proceedings of the CSEE,2023,43(10):4022-4033.

伍玉鑫,王佳琳,周雄,等.SF 6 断路器灭弧室内短路电流开断过程仿真研究[J ] .广东电力,2022,35(11):72-80.

Wu Yuxin, Wang Jialin, Zhou Xiong, et al. Simulation study on interruption process of short-circuit current in SF 6 circuit breaker chamber[J ] . Guangdong Electric Power,2022,35(11):72-80.

许潘,杨泽锋,魏文赋,等.降弓电弧对接触线侵蚀的仿真研究[J].高电压技术,2019,45(11):3529-3538.

Xu Pan, Yang Zefeng, Wei Wenfu, et al. Simulation research of contact wire erosion under lowering pantograph arc[J]. High Voltage Engineering,2019,45(11):3529-3538.

刘冰,陈文革,张志军.钨铜合金表面纳米化及其性能分析[J].稀有金属材料与工程,2015,44(12):3188-3191.

Liu Bing, Chen Wenge, Zhang Zhijun. Tungsten-copper alloy surface nano - crystallization and its properties[J]. Rare Metal Materials and Engineering,2015,44(12):3188-3191.

丁一,祝志祥,韩钰.新型石墨烯增强铜基复合电触头材料研发进展[J].新材料产业,2018(11):38-41.

Ding Yi, Zhu Zhixiang, Han Yu. Research and development progressof new graphene - reinforced copper - based composite electrical contact materials[J]. Advanced Materials Industry,2018 (11):38-41.

Goli P, Ning Hao, Li Xuesong, et al. Thermal properties of graphenecopper-graphene heterogeneous films[J]. Nano Letters,2014,14(3):1497-1503.

李庆民,黄旭炜,刘涛,等.分子模拟技术在高电压绝缘领域的应用进展[J].电工技术学报,2016,31(12):1-13.

Li Qingmin, Huang Xuwei, Liu Tao, et al. Application progresses of molecular simulation methodology in the area of high voltage insulation[J]. Transactions of China Electrotechnical Society,2016, 31(12):1-13.

Zhang T, Wu X, Luo T. Polymer nanofibers with outstanding thermal conductivity and thermal stability:fundamental linkage between molecular characteristics and macroscopic thermal properties[J]. The Journal of Physical Chemistry C,2014,118(36):21148-21159.

毛亦尘,熊扬恒,岳亚楠.硅晶体热导率及点缺陷散射影响的分子动力学模拟[J].哈尔滨工业大学学报,2019,51(7):112-120.

Mao Yichen, Xiong Yangheng, Yue Yanan. Thermal conductivity of silicon crystal and effects of point defect scatter by molecular dynamics[J]. Journal of Harbin Institute of Technology,2019,51 (7):112-120.

王瑞娟,王俊勃,宋宇宽,等.高压和真空铜基触头材料的研究进展[J].电工材料,2014(4):15-18.

Wang Ruijuan, Wang Junbo, Song Yukuan, et al. Research and development of high-voltage and vacuum copper based contact materials[J]. Electrical Engineering Materials,2014(4):15-18.

Zhou X W, Johnson R A, Wadley H N G. Misfit-energy-increasing dislocations in vapor-deposited CoFe/NiFe multilayers[J]. Physical Review B,2004,69(14):144113.

Huang Hai, Tang Xiaobin, Chen Feida, et al. Radiation damage resistance and interface stability of copper-graphene nanolayered composite[J]. Journal of Nuclear Materials,2015(460):16-22.

Stuart S J, Tutein A B, Harrison J A. A reactive potential for hydrocarbons with intermolecular interactions[J]. The Journal of Chemical Physics,2000,112(14):6472-6486.

陈贞睿,刘超,谢炎崇,等.高导热金属基复合材料的制备与研究进展[J].粉末冶金技术,2022,40(1):40-52.

Chen Zhenrui, Liu Chao, Xie Yanchong, et al. Preparation and research process of high thermal conductivity metal matrix composites[J]. Powder Metallurgy Technology,2022,40(1):40-52.

Li Zhen, Xiong Shiyun, Sievers C, et al. Influence of thermostatting on nonequilibrium molecular dynamics simulations of heat conduction in solids[J]. The Journal of Chemical Physics,2019,151 (23):234105.

Feng Bo, Li Zhixin, Zhang Xing. Role of phonon in the thermal and electrical transports in metallic nanofilms[J]. Journal of Applied Physics,2009(105),104315

黄昆.固体物理学[M].北京:北京大学出版社,2009.

Huang Kun. Solid state physics[M]. Beijing:Peking University Press,2009.

惠治鑫,贺鹏飞,戴瑛,等.硅功能化石墨烯热导率的分子动力学模拟[J].物理学报,2014(7):1.

Hui Zhixin, He Pengfei, Dai Ying, et al. Molecular dynamics simulation of the thermal conductivity of silicon functionalized graphene[J]. Acta Physica Sinica,2014(7):1.

魏志勇,毕可东,陈云飞.石墨烯纳米带热导率的分子动力学模拟[J].东南大学学报(自然科学版),2010,40(2):306-310.

Wei Zhiyong, Bi Kedong, Chen Yunfei. Thermal conductivity of graphene nanoribbons simulated by molecular dynamics[J]. Journal of Southeast University(Natural Science Edition),2010,40 (2):306-310.

刘丁孔.铜基高导热复合材料的制备与性能研究[D].贵阳:贵州大学,2020.

Liu Dingkong. Preparation and properties of copper-based high thermal conductivity composites[D]. Guiyang:Guizhou University, 2020.

侯泉文,曹炳阳.碳纳米管的热导率:从弹道到扩散输运[J].物理学报,2009,58(11):7809-7814.

Hou Quanwen, Cao Bingyang. Thermal conductivity of carbon nanotube:from ballistic to diffusive transport[J]. Acta Physica Sinica,2009,58(11):7809-7814.

王建.石墨烯/高分子复合材料界面导热性能的分子动力学模拟[D].太原:中北大学,2016.

Wang Jian. Molecular dynamics simulation of the thermal conductivity of graphene/polymer composite interfaces[D]. Taiyuan:North University of China,2016.

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