交联聚乙烯绝缘线芯脱气与副产物扩散研究
Research on Cross-Linked Polyethylene Insulated Core Degassing and By-Product Diffusion
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摘要: 高压电缆绝缘普遍采用过氧化物交联聚乙烯,在交联过程中产生的甲烷、苯乙酮等副产物易引发绝缘击穿与局部放电,需要通过脱气工艺去除。然而,脱气工艺存在周期长、能耗高的制约因素。为克服上述限制,文中系统综述了副产物的检测方法,厘清了温度、时间、电缆结构、材料参数,以及多组分扩散因素对脱气过程的影响,为后续试验与仿真研究提供了理论依据。分析表明,测量技术正向非破坏性原位检测方向发展;仿真模型已从一维简化模型发展为热-质耦合的二维有限元模型,解析能力增强,但对多组分竞争扩散机制的描述尚不完善。文中确认了温度、时间,以及绝缘厚度、结晶度等材料属性是决定脱气效率的关键因素,而多组分竞争扩散行为对绝缘电学性能具有决定性影响。未来应重点建立基于非平衡热力学的多组分传质模型,构建试验与仿真双向驱动的验证体系,发展机理与数据融合的智能脱气工艺,结合模型与复合加热技术实现精准控制,推动电缆制造向智能化与绿色化升级。Abstract: High-voltage cable insulation commonly employs peroxide-crosslinked polyethylene. During cross-linking process, by-products such as methane and acetophenone are generated, which can easily lead to insulation breakdown and partial discharge, and thus must be removed through a degassing process. However, degassing process is constrained by long cycle times and high energy consumption. To overcome these limitations, detection methods for by-products are systematically reviewed and influence of temperature, time, cable structure, material parameters, and multi-component diffusion on degassing process is clarified in the paper, providing a theoretical basis for subsequent experimental and simulation studies. Analysis indicates that measurement technologies are advancing toward non-destructive in-situ detection methods; simulation models have evolved from simplified one-dimensional models to coupled thermal and mass transport two-dimensional finite element models, with significantly enhanced analytical capabilities, though the description of multi-component competitive diffusion mechanisms remains incomplete. It is confirmed that temperature, time, and material properties such as insulation thickness and crystallinity are key factors determining degassing efficiency, while multi-component competitive diffusion behavior critically influences electrical performance of the insulation. Future efforts should focus on establishing multi-component mass transfer models based on non-equilibrium thermodynamics, building a validation system driven by both experiments and simulations, developing intelligent degassing processes that integrate mechanistic understanding with data-driven approaches, and combining models with hybrid heating technologies to achieve precise control, thereby advancing cable manufacturing toward intelligent and green upgrading.
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