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Determining Thermal Conductivity and Thermal Diffusivity of Low-Density Gases Using the Transient Short-Hot-Wire Method

机译:瞬态短热线法测定低密度气体的热导率和热扩散率

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摘要

The transient short-hot-wire method for measuring thermal conductivity and thermal diffusivity makes use of only one thermal-conductivity cell, and end effects are taken into account by numerical simulation. A search algorithm based on the Gauss-Newton nonlinear least-squares method is proposed to make the method applicable to high-diffusivity (i.e., low-density) gases. The procedure is tested using computer-generated data for hydrogen at atmospheric pressure and published experimental data for low-density argon gas. Convergence is excellent even for cases where the temperature rise versus the logarithm of time is far from linear. The determined values for thermal conductivity from experimental data are in good agreement with published values for argon, while the thermal diffusivity is about 10% lower than the reference data. For the computer-generated data, the search algorithm can return both thermal conductivity and thermal diffusivity to within 0.02% of the exact values. A one-dimensional version of the method may be used for analysis of low-density gas data produced by conventional transient hot-wire instruments.
机译:用于测量热导率和热扩散率的瞬态短热线方法仅使用一个热导率单元,并且通过数值模拟考虑了最终效应。提出了一种基于高斯-牛顿非线性最小二乘法的搜索算法,以使该方法适用于高扩散率(即低密度)气体。使用计算机生成的大气压氢气数据和低密度氩气的公开实验数据对程序进行了测试。即使温度升高与时间的对数不是线性关系,收敛性也非常好。根据实验数据确定的热导率值与已发布的氩气值高度吻合,而热扩散率比参考数据低约10%。对于计算机生成的数据,搜索算法可以将导热率和热扩散率都返回到精确值的0.02%以内。该方法的一维版本可以用于分析由常规瞬态热线仪器产生的低密度气体数据。

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