Open AccessAn efficient method to identify thermal conductivity of orthotropic material based on BP neural network algorithm
Author(s) -
Xiang Li,
Renzhi Ma,
Tang Zhiyin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1634/1/012044
Subject(s) - orthotropic material , artificial neural network , thermal conductivity , algorithm , identification (biology) , thermal , computer science , inversion (geology) , materials science , finite element method , artificial intelligence , engineering , physics , composite material , thermodynamics , structural engineering , geology , paleontology , botany , structural basin , biology
BP neural network algorithm is used to identify the three-dimensional orthotropic thermal conductivity. The finite volume method is used to solve the forward heat transfer problem, and the training samples for neural network inversion identification are obtained. According to the identification results, the temperature field is reconstructed. Through the analysis of the calculation results, it is found that the accurate identification of three-dimensional orthotropic thermal conductivity can be realized by using BP neural network algorithm. When the temperature measurement error is less than 0.5 °C, the maximum identification error of thermal conductivity is only 3.5%.