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

Gao, Bin, Woo, Wai Lok and Tian, Gui Yun (2016) Electromagnetic Thermography Nondestructive Evaluation: Physics-based Modeling and Pattern Mining. Scientific Reports, 6. p. 25480. ISSN 2045-2322

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

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.

Item Type: Article
Subjects: F300 Physics
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 04 Apr 2019 14:11
Last Modified: 04 Apr 2019 14:15
URI: http://nrl.northumbria.ac.uk/id/eprint/38759

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