Flash method and Bayesian inference for measurement of thermophysical fields

In this paper, a method based on Bayesian inference is proposed to conjointly estimate the following two fields of thermophysical parameters. The first is a thermal characteristic time directly linked to the thermal diffusivity and the thickness, whereas the second is the Biot number, which is directly linked to the heat loss and thermal conductivity. This method is robust to noise and leads to very good estimations of the parameters with an algorithm that is very fast and less time consuming than a classical minimization method. At the end of the study, a setup and a methodology are also presented to estimate the average value of the thermal conductivity of an unknown material. (C) 2021 Author(s).

Automated summary

A method based on Bayesian inference is proposed in this paper to jointly estimate two fields of thermophysical parameters, the thermal characteristic time and the Biot number. This method is robust to noise, leads to accurate estimations, and is faster and less time-consuming than traditional methods.