Deep learning neural network approach to thermal-wave imaging of damage in solids with application to diffusivity measurements of a green (unsintered) metal powder compact slab-Reference-Cited by-同舟云学术

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Deep learning neural network approach to thermal-wave imaging of damage in solids with application to diffusivity measurements of a green (unsintered) metal powder compact slab

Published:2024-08 Issue: Volume:235 Page:115004
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Tang Hong^ORCID,Melnikov Alexander,Mandelis Andreas^ORCID

Publisher

Elsevier BV

Reference50 articles.

1. Modeling and measuring thermodynamic and transport thermophysical properties: a review;D’Alessandro;Energies,2022

2. Depth evaluation of curvilinear cracks in metal using multi-speed laser lock-in thermography method;Boue;J. Nondestruct. Eval.,2022

3. Theory of thermal conduction in thin ceramic films;Klemens;Int. J. Thermophys.,2001

4. Determination of thermal diffusivity of fibrous insulating materials at high temperatures by thermal wave analysis;Brendel;Int. J. Heat Mass. Transfer,2017

5. Infrared detection of defects in powder-metallic compacts;Benzerrouk;J. Nondestruct. Eval.,2007

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