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Electromagnetic Thermography Nondestructive Evaluation: Physics-based Modeling and Pattern Mining

Lookup NU author(s): Dr Bin Gao, Dr Wai Lok Woo, Professor Gui Yun TianORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

Electromagnetic mechanism of Joule heating and thermal conduction on conductive material characterization broadens their scope for implementation in real thermography based Nondestructive testing and evaluation (NDT&E) systems by imparting sensitivity, conformability and allowing fast and imaging detection, which is necessary for efficiency. The issue of automatic material evaluation has not been fully addressed by researchers and it marks a crucial first step to analyzing the structural health of the material, which in turn sheds light on understanding the production of the defects mechanisms. In this study, we bridge the gap between the physics world and mathematical modeling world. We generate physics-mathematical modeling and mining route in the spatial-, time-, frequency-, and sparse-pattern domains. This is a significant step towards realizing the deeper insight in electromagnetic thermography (EMT) and automatic defect identification. This renders the EMT a promising candidate for the highly efficient and yet flexible NDT&E.

Publication metadata

Author(s): Gao B, Woo WL, Tian GY

Publication type: Article

Publication status: Published

Journal: Scientific Reports

Year: 2016

Volume: 6

Online publication date: 09/05/2016

Acceptance date: 14/04/2016

Date deposited: 28/06/2016

ISSN (electronic): 2045-2322

Publisher: Nature Publishing Group

URL: http://dx.doi.org/10.1038/srep25480

DOI: 10.1038/srep25480

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