IR thermography & NN models for damaged component thickness detection

IR thermography & NN models for damaged component thickness detection

Abstract To achieve rapid detection of damage thickness in metal components using infrared thermography, a combination of heat transfer theory and image theory was employed. This involved theoretical analysis, finite element numerical simulation, a BP neural network prediction model, and infrared th...

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Bibliographic Details
Main Authors: Chunming Ai, Haichuan Lin, Pingping Sun
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Defect thickness detection
Infrared thermal wave nondestructive testing
COMSOL heat transfer simulation
BP neural network
Rapid detection
Online Access:https://doi.org/10.1038/s41598-025-90041-z
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https://doi.org/10.1038/s41598-025-90041-z

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