4Reconstruction of Thermophysical Parameters Based on Deep Learning
4.1 Introduction
The inversion of thermophysical parameters is a typical representative of inverse heat conduction problems (IHCP), which has a broad application prospect in scientific and engineering problems such as nondestructive testing, materials processing, geometry optimization, biomedical detection, architectural design, food technology and so on. During the inversion procedure, the thermal parameters in the entire domain are determined by the measured boundary physical quantities. However, due to high nonlinear and ill conditioned, the reconstruction of the thermal parameters is a herculean task. In this chapter, an integrated workflow ...
Get Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
