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中国物理学会期刊

内生热与纳米增强对环形PCM凝固的竞争效应

Competitive Effects of Internal Heat Generation and Nanoparticle Enhancement during Solidification of Annular PCM

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  • 为揭示纳米增强复合相变材料中内生热效应对凝固动力学的调控机制, 本文以环形区域内相变材料的凝固过程为研究对象, 基于热传导理论与渐近分析方法, 对小 Stefan 数条件下含对流边界的 Stefan 问题进行了系统研究. 通过多尺度渐近分析, 刻画了四个空间尺度与五个时间尺度, 并在平衡凝固主导尺度上引入物性平均法, 建立了同时考虑内生热强度、纳米颗粒类型、纳米颗粒体积分数、环形几何参数及边界换热条件的统一数学模型. 在此基础上, 系统分析了内生热与纳米颗粒导热增强之间的竞争调控机制, 以及环形几何构形和边界对流换热对凝固过程的影响. 研究结果表明内生热作为热源项虽可补偿系统热损失, 但会削弱固–液界面温度梯度, 从而降低界面传热驱动力并延缓凝固前沿推进; 相比之下, 高导热纳米颗粒(如 copper nanoparticles)能够显著提高复合材料的等效导热性能, 加速界面迁移并缩短完全凝固时间, 且随着纳米颗粒体积分数增加,这种强化作用也同步增强. 进一步分析发现, 完全凝固时间随内生热强度单调增加, 而随纳米颗粒体积分数单调降低, 表明内生热迟滞效应与纳米颗粒导热增强效应之间存在明显的竞争关系, 其中Cu 纳米颗粒表现出最优的导热强化能力, 能够有效削弱内生热引起的凝固迟滞. 此外, 增大环形半径比可有效缩短导热路径, 当 β 由 0.05 增加至 0.5 时, 不同内生热工况下完全凝固时间均降低90% 以上; 提高 Bi 数能够增强边界散热能力, 当 Bi 数由 10 增加至 100 时, 完全凝固时间进一步降低约 50%–60%, 但当 Bi 继续增大时, 其强化作用逐渐减弱. 上述结果表明, 合理优化环形几何构形、边界换热条件及纳米颗粒参数, 可有效抑制内生热带来的不利影响, 显著提高相变材料的释热性能. 本文从多物理场耦合角度阐明了内生热、纳米颗粒导热增强、环形几何构形及边界换热共同作用下环形复合相变材料的凝固动力学机制, 为热能存储与热管理系统中纳米复合相变材料的结构设计与参数优化提供了可靠的理论依据和定量设计框架.

     

    The solidification behavior of nanoparticle-enhanced composite phase change material (PCM) with internal heat generation is of considerable importance for the design of advanced thermal energy storage and thermal management systems. However, the combined effects of internal heat generation and nanoparticle-induced thermal enhancement on the solidification dynamics in annular configurations have not yet been systematically elucidated. In this study, a theoretical model is established to investigate the Stefan problem associated with the solidification of nanoparticle-enhanced PCM containing uniform internal heat generation in an annular enclosure subjected to convective cooling. Under the small Stefan number assumption, a multi-scale asymptotic analysis is employed to derive analytical solutions for the temperature field, interface evolution, and total solidification time. Four spatial scales and five temporal scales are identified, and a unified mathematical framework is developed by incorporating the effective thermophysical properties of nanoparticle-enhanced PCM based on effective medium theory. The effects of internal heat generation intensity, nanoparticle type, nanoparticle volume fraction, annular geometry, and convective boundary conditions on the solidification process are systematically investigated. The results demonstrate that internal heat generation acts as a volumetric heat source that continuously compensates for heat loss within the solid region, thereby elevating the local temperature, weakening the temperature gradient at the solid–liquid interface, reducing the interfacial heat flux, and delaying the propagation of the solidification front. In contrast, high thermal conductivity nanoparticles significantly enhance the effective thermal conductivity of the composite PCM, accelerate heat transfer, and shorten the total solidification time. Among the three classes of nanoparticles considered, \textCu exhibits the strongest enhancement effect owing to its exceptionally high thermal conductivity, whereas \textAl_2\textO_3 provides the weakest enhancement. A quantitative parametric analysis further reveals a pronounced competitive interaction between internal heat generation and nanoparticle-induced thermal enhancement. As shown in Fig. 11, the total solidification time increases monotonically with increasing internal heat generation intensity but decreases markedly with increasing nanoparticle volume fraction. Even under strong internal heat generation, increasing the volume fraction of copper nanoparticles effectively mitigates the solidification delay, indicating that enhanced thermal conduction can partially offset the adverse influence of internal heat generation. Furthermore, increasing the annular radius ratio and the Bi number significantly accelerates solidification by shortening the heat-conduction path and enhancing convective heat transfer, respectively. These findings clarify the dominant physical mechanism governing the competition between internal heat generation and nanoparticle enhanced thermal conduction during annular solidification. The proposed analytical model provides not only an efficient theoretical tool for predicting solidification behavior but also a quantitative framework for optimizing nanoparticle type, internal heat generation, annular geometry, and boundary heat transfer conditions in composite PCM-based thermal energy storage and thermal management systems.

     

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