Estimating temperature-dependent thermal conductivity of copper oxide using an inverse method

IF 3 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
Jing Zhang, Guofeng Su, Tao Chen
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Abstract

Temperature-dependent thermal conductivity of copper oxide is of great significance for the research on the thermal hazards caused by poor electrical contact. In addition, copper oxide is also a promising material in energy storage. In the aforementioned fields, the heat transfer and temperature distribution are determined by the thermophysical properties of copper oxide. However, thermal conductivity of copper oxide is seldom mentioned in the available literature. Moreover, it is impractical to test the copper oxide’s thermal conductivity by the existing instruments directly due to the difficulty in sample preparation and the limitations of the equipment. Therefore, we investigate an approach to determine the temperature-dependent thermal conductivity of copper oxide using an inverse method. Temperature-drop experiments are conducted to record the heat transfer process over a broad temperature range. Three optimization algorithms, including SNOPT (Software for Large-Scale Nonlinear Programming), particle swarm optimization, and simulated annealing, except for the optimization methods, the effects of the baseline temperature and measurement errors are also tested. Results demonstrate that the particle swarm optimization is the most applicable method to solve the thermal conductivity problems with minimum errors. The average, lower and upper 95\(\%\) confidence intervals of the parameter estimation results are provided, which can be used for further heat transfer modeling.

Abstract Image

利用反演法估算氧化铜随温度变化的热导率
氧化铜随温度变化的热导率对于研究电接触不良引起的热危害具有重要意义。此外,氧化铜还是一种前景广阔的储能材料。在上述领域,热传导和温度分布由氧化铜的热物理性质决定。然而,氧化铜的热导率在现有文献中很少提及。此外,由于样品制备困难和设备的限制,用现有仪器直接测试氧化铜的热导率是不切实际的。因此,我们研究了一种利用反演法测定氧化铜随温度变化的热导率的方法。我们进行了温降实验,以记录较大温度范围内的传热过程。除优化方法外,还测试了三种优化算法,包括 SNOPT(大规模非线性编程软件)、粒子群优化和模拟退火,以及基线温度和测量误差的影响。结果表明,粒子群优化法是以最小误差解决导热问题的最适用方法。提供了参数估计结果的平均值、下限和上限置信区间,可用于进一步的传热建模。
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来源期刊
CiteScore
8.50
自引率
9.10%
发文量
577
审稿时长
3.8 months
期刊介绍: Journal of Thermal Analysis and Calorimetry is a fully peer reviewed journal publishing high quality papers covering all aspects of thermal analysis, calorimetry, and experimental thermodynamics. The journal publishes regular and special issues in twelve issues every year. The following types of papers are published: Original Research Papers, Short Communications, Reviews, Modern Instruments, Events and Book reviews. The subjects covered are: thermogravimetry, derivative thermogravimetry, differential thermal analysis, thermodilatometry, differential scanning calorimetry of all types, non-scanning calorimetry of all types, thermometry, evolved gas analysis, thermomechanical analysis, emanation thermal analysis, thermal conductivity, multiple techniques, and miscellaneous thermal methods (including the combination of the thermal method with various instrumental techniques), theory and instrumentation for thermal analysis and calorimetry.
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