Simultaneous identification of thermophysical properties of semitransparent media using an artificial neural network trained by a 2-D axisymmetric direct model-Reference-Cited by-同舟云学术

Simultaneous identification of thermophysical properties of semitransparent media using an artificial neural network trained by a 2-D axisymmetric direct model

Published:2020-04-06 Issue:10 Volume:77 Page:890-912
ISSN:1040-7782
Container-title:Numerical Heat Transfer, Part A: Applications
language:en
Short-container-title:Numerical Heat Transfer, Part A: Applications

Author:

Liu Yang¹²,Billaud Yann¹,Saury Didier¹^ORCID,Lemonnier Denis¹^ORCID

Affiliation:

1. Institut Pprime UPR CNRS 3346 – CNRS/ENSMA/Université de Poitiers, Futuroscope Chasseneuil CEDEX, France;

2. Sino-European Institute of Aviation Engineering (SIAE), Civil Aviation University of China (CAUC), Tianjin, P. R. China

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Numerical Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407782.2020.1746167

Reference25 articles.

1. Transient thermal analysis of semitransparent composite layer with an opaque boundary

2. Improvement and comparison of some estimators dedicated to thermal diffusivity estimation of orthotropic materials with the 3D-flash method

3. COMBINATION OF INVERSE AND NEURAL NETWORK METHODS TO ESTIMATE HEAT FLUX

4. Applying neural networks to the solution of forward and inverse heat conduction problems

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