迈向时间尺度匹配复合材料:使用双温度模型的有机和金属相变材料复合材料的系统级建模

Justin Wang, M. Fish, M. Berman, Melissa K. McCann
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引用次数: 0

摘要

这项工作提出了一个双温度模型(TTM),旨在理解时间尺度匹配的相变puretemp29 -镓复合材料的热响应。由于上述复合材料的显式,亚尺度热建模在计算上是昂贵的,因此讨论了能够准确捕获PureTemp29和镓的全范围动态响应的系统级替代方案- TTM。在TTM中,每个元素都被设计为同时跟踪镓和PureTemp29的温度。导出的参数- K,依赖于亚尺度复合材料结构和材料的耦合系数,以及keff,有效导热系数-使用拟合算法进行调整,导致TTM的热响应收敛到显式模型的热响应。导出的参数与边界条件无关,即改变热流密度对K和keff的影响可以忽略不计。通过大尺度参数扫描和逐步回归,推导出了两个参数与四个亚尺度材料参数之间的经验相关性。这些相关性将被改进,以开发一个完整的材料模型,用于时间尺度匹配相变复合材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Time-Scale Matched Composites: System-Level Modeling of Organic and Metallic Phase-Change Material Composites Using a Two-Temperature Model
This work presents a two-temperature model (TTM) designed to understand the thermal response of time-scale matched, phase-change PureTemp29-gallium composites. Since explicit, subscale thermal modeling of the aforementioned composites is computationally expensive, a system-level alternative capable of accurately capturing the full range of dynamic responses of PureTemp29 and gallium – the TTM – is discussed. In the TTM, each element is designed to simultaneously track temperatures of gallium and PureTemp29. The derived parameters – K, the coupling coefficient which depends on subscale composite structure and material, and keff, the effective thermal conductivity – are tuned using a fitting algorithm, resulting in the convergence of the TTM’s thermal response to that of the explicit model. The derived parameters are found to be boundary-condition independent, i.e., varying the heat-flux has negligible impact on K and keff. From large-scale parametric sweeps and stepwise regression, two empirical correlations between the derived parameters and four subscale material parameters are developed. These correlations will be refined to develop a full material model for time-scale matched phase-change composites.
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