Accurate Thermal Diffusivity Measurements Using a Modified angstrom ngstrom's Method With Bayesian Statistics

This work reports a custom instrument that employs a modified angstrom ngstrom's method to measure the thermal diffusivity of foil-like materials in which heat propagates in one dimension. This method does not require a semi-infinite medium assumption as compared to the original angstrom ngstrom's method, which also has been typically performed in vacuum. However, in this work, temperature measurements are performed in laboratory ambient conditions, which are more convenient for most experiments. To quantify and reduce uncertainties due to temperature fluctuations in noisy ambient conditions, a Bayesian framework and Metropolis algorithm are employed to solve the inverse heat transfer problem and to obtain a probability distribution function for thermal diffusivity. To demonstrate the effectiveness of the custom instrument, the thermal diffusivity of a copper 110 foil (25.0mm long, 7.0mm wide, and 76.2 mu m thick) was measured in ambient conditions, and the results match well with previous studies performed in vacuum conditions on much longer samples.