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 direc...

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Bibliographic Details
Published in:AIP advances 2021-10, Vol.11 (10), p.105009-105009-11
Main Authors: Groz, M. M., Sommier, A., Abisset-Chavanne, E., Batsale, J. C., Pradere, C.
Format: Article
Language:English
Subjects:
Algorithms
Bayesian analysis
Biot number
Engineering Sciences
Heat conductivity
Heat loss
Heat transfer
Parameters
Statistical inference
Thermal conductivity
Thermal diffusivity
Thermophysical properties
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Summary: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.
ISSN:2158-3226
2158-3226
DOI:10.1063/5.0063271