确定太空应用环氧填料复合材料导热性能的实验和分析研究

IF 1.8 3区 工程技术 Q3 PHYSICS, APPLIED
Manas Kumar , Shubham Upadhyay , Lalit Bansal , Ravi Verma
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引用次数: 0

摘要

基于环氧树脂-填料复合材料的热界面材料(TIM)的导热性对于太空应用中的热管理系统至关重要。以往的研究表明,根据环氧树脂中混合的填料颗粒的不同,复合材料的导热性可以提高或降低。为此,我们选择了铝、铜、锌和银四种不同的填料颗粒(微米级)来提高基底环氧树脂的导热性。这 4 种环氧树脂-填料复合材料的导热系数是在 4.2 K 到 323 K 的温度范围内,使用本地开发的装置进行实验测定的。此外,每次制备后,填料颗粒都会以机械方式混合到环氧树脂中,它们会随机分布,这会影响复合材料的导热率(相同体积分数下)。通过实验测定所有可能分布的热导率是一项耗时且繁琐的工作。在文献中,通常只报告了少数可能分布的导热系数值。因此,我们开发了一个新颖的分析模型,用于预测特定体积分数下所有可能的导热系数值。在 338 K(室温以上)到 4.2 K(液氦温度)的温度范围内,预测值与我们的实验数据对比良好。预测值与文献中不同填料(如赤泥、松木粉尘和玻璃纤维等)的实验值也十分吻合。此外,与 Lewis-Nielsen、混合法则和泊松分布等其他理论模型相比,本模型能更精确地预测热导率值。这项工作对于设计热传导对部件安全起重要作用的部件具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An experimental and analytical investigation to determine thermal conductivity of epoxy-filler composites for space applications
Thermal conductivity of epoxy-filler composite based Thermal Interface Materials (TIMs) is of utmost importance for thermal management systems used in space applications. Previous studies have shown that depending on the filler particle mixed into the epoxy, thermal conductivity of the composite can either be increased or decreased. Towards that, we have selected four different filler particles (micron sized) – aluminium, copper, zinc and silver to enhance the thermal conductivity of the base epoxy. Thermal conductivity of these 4 epoxy-filler composites has been determined experimentally using an indigenous developed setup at the temperatures ranging from 4.2 K to 323 K. The values have also been reported at various volume fractions (up to 15 %). In addition, after each preparation as the filler particles are mixed mechanically into the epoxy, they are randomly distributed, and this can affect the composite’s thermal conductivity (for the same volume fraction). The experimental determination of thermal conductivity for all the possible distributions is a time consuming, and cumbersome task. In the literature, thermal conductivity values are usually reported for few possible distributions. Therefore, we have developed a novel analytical model to predict all the possible values of thermal conductivity for a specific volume fraction. The predicted values compare well with our experimental data reported in this work at temperatures ranging between 338 K (above room temperature) to 4.2 K (liquid helium temperature). The predicted values are also in good agreement with the experimental values of different fillers such as red mud, pine wood dust and glass fiber etc. from the literature. Additionally, in comparison to other theoretical models like Lewis-Nielsen, Rule of mixture, and Poisson’s distribution, the present model predicts the thermal conductivity values more precisely. This work will be significant in the designing of components where heat transfer plays an important role towards the safety of the component.
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来源期刊
Cryogenics
Cryogenics 物理-热力学
CiteScore
3.80
自引率
9.50%
发文量
0
审稿时长
2.1 months
期刊介绍: Cryogenics is the world''s leading journal focusing on all aspects of cryoengineering and cryogenics. Papers published in Cryogenics cover a wide variety of subjects in low temperature engineering and research. Among the areas covered are: - Applications of superconductivity: magnets, electronics, devices - Superconductors and their properties - Properties of materials: metals, alloys, composites, polymers, insulations - New applications of cryogenic technology to processes, devices, machinery - Refrigeration and liquefaction technology - Thermodynamics - Fluid properties and fluid mechanics - Heat transfer - Thermometry and measurement science - Cryogenics in medicine - Cryoelectronics
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