Thermography spatial-transient-stage mathematical tensor construction and material property variation track

Gao, Bin, Yin, Aijun, Tian, Guiyun and Woo, Wai Lok (2014) Thermography spatial-transient-stage mathematical tensor construction and material property variation track. International Journal of Thermal Sciences, 85. pp. 112-122. ISSN 1290-0729

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Characterizing and tracking the properties variation in conductive material such as electrical conductivity, magnetic permeability and thermal conductivity have promising potential for the detection and evaluation of material state undertaken by fatigue or residual stress. This is a challenge task for the research field of non-destructive testing and evaluation. This paper proposes a spatial-transient-stage tensor mathematical model of inductive thermography system and Tucker decomposition algorithm for characterizing and tracking the variation of properties. The inductive thermography has advantages in such as rapid inspection and high sensitivity of defect detection. The links between mathematical and physics models have been discussed. The simulation experiments of tracking physic properties of steel material are investigated and verified. In addition, the real experiment of the measurement for gears with different cycles of fatigue tests is evaluated. The estimation of normalized stage basis by using Tucker decomposition has shown high correlation relationships with different variation of physics properties in material.

Item Type: Article
Uncontrolled Keywords: Gear fatigue evaluation, Material properties variation tracking, Non-destructive testing and evaluation, Tensor mathematical model, Thermal analysis, Tucker decomposition
Subjects: F300 Physics
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 01 May 2019 10:55
Last Modified: 10 Oct 2019 19:16

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