发表机构
University of Pittsburgh（匹兹堡大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
提出一种基于瞬态电热技术的迭代拟合方法，仅用两次测量同时确定细纤维的多种热性能与有效表面发射率，校正辐射损失，误差约10%，并指导样品几何选择。
AI 中文摘要
瞬态电热技术（TET）被广泛用于测量细纤维和薄膜的热性能，但当辐射热损失显著且表面发射率未知时，其精度会下降。这些条件在微尺度下难以避免，而传统分析要么忽略它们，要么依赖引入顺序误差的单独测量。我们提出了一种TET实现方案，仅通过两次瞬态测量即可确定多种热性能和有效表面发射率。一个包含热辐射和可变热生成的解析模型支持灵敏度引导的多参数拟合。温度解的两种形式分别产生热导率和热扩散率，以及热导率和体积热容。随后，一种迭代拟合程序在考虑环境影响校正的情况下恢复固有性能，同时减少所需的样品数量和测量时间。对非晶二氧化硅（SiO2）光纤和Hi-Nicalon Type S碳化硅（SiC）光纤的测量结果与文献值在所有样品上的平均误差约为10%以内。实验和数值不确定性分析量化了测量变异性，并将其与样品几何形状相关联。该方法同时解析多种固有热性能，校正辐射损失误差，并为样品几何形状选择提供定量指导。
英文摘要
The transient electrothermal technique (TET) is widely used to measure the thermal properties of thin fibers and films, but its accuracy declines when radiative heat losses are significant and surface emissivity is unknown. These conditions are difficult to avoid at the microscale, while conventional analyses either neglect them or rely on separate measurements that introduce sequential errors. We present a TET implementation that determines multiple thermal properties and effective surface emissivity from only two transient measurements. An analytical model incorporating thermal radiation and variable heat generation supports sensitivity-guided, multiparameter fitting. Two forms of the temperature solution yield thermal conductivity and diffusivity, and thermal conductivity and volumetric heat capacity, respectively. An iterative fitting procedure then recovers intrinsic properties corrected for environmental effects while reducing the required sample count and measurement time. Measurements of amorphous silicon dioxide (SiO2) optical fiber and Hi-Nicalon Type S silicon carbide (SiC) fiber agreed with literature values to within an average error of approximately 10% across all samples. Experimental and numerical uncertainty analyses quantify measurement variability and relate it to sample geometry. This method simultaneously resolves multiple intrinsic thermal properties, corrects radiative-loss errors, and provides quantitative guidance for sample geometry selection.
Comments27 pages, 12 figures
