Estimation of thermophysic properties of a bimaterial by temperature field measurement and finite element model updating - Institut PPRIME (P') Accéder directement au contenu
Article Dans Une Revue Mechanics & Industry Année : 2023

Estimation of thermophysic properties of a bimaterial by temperature field measurement and finite element model updating

Résumé

The aim of this study is to identify simultaneously the thermal conductivity tensor and the heat capacity per unit volume of a bimaterial, whose heat conduction obeys Fourier’s law. This approach is validated by numerical simulation. The simulated temperature fields are obtained by the direct resolution of the heat conduction equation solved numerically with the help of finite element method formulation. To identify the parameters, an inverse method is developed by using the finite element model updating (FEMU) based on the Levenberg-Marquardt algorithm. This inverse finite element method approach allowed us to estimate the thermophysical parameters sought. We validated the numerical procedure by using noiseless temperature fields at different time and space steps and two types of material: an homogeneous and a bimaterial one. To be close to real conditions, the influence of the noise on the temperature fields is also studied and shows the efficiency of the inverse method. The results of this procedure show that the identified parameters are very less sensitive to the number of infra-red images varying from 40 to 80 and the number of elements ranging from 20 to 50 for a specimen size equals to 36.6 × 36.6 mm2.
Fichier principal
Vignette du fichier
mi220116.pdf (4.12 Mo) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

hal-03957434 , version 1 (26-01-2023)

Identifiants

Citer

Yao Koumekpo, Kossi Atchonouglo, Edo-Owodou Ayeleh, Arnaud Germaneau, Laettia Caillé, et al.. Estimation of thermophysic properties of a bimaterial by temperature field measurement and finite element model updating. Mechanics & Industry, 2023, 24, pp.4. ⟨10.1051/meca/2022030⟩. ⟨hal-03957434⟩
17 Consultations
22 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More