Gao, Bin, Yin, Aijun, Wang, Yizhe, Tian, Guiyun, Woo, Wai Lok and Liu, Hanxiao (2014) Thermography spatial-transient-stage tensor model and materal property characterization. In: 2014 IEEE Far East Forum on Nondestructive Evaluation/Testing. IEEE, pp. 199-203. ISBN 978-1-4799-4731-7
Full text not available from this repository.Abstract
Characterizing and tracking electrical conductivity, magnetic permeability and thermal conductivity in conductive material have promising potential for the detection and evaluation of material state undertaken by fatigue or residual stress. This letter proposes a spatial-transient-stage tensor mathematical model of eddy current pulsed thermography system and Tucker decomposition algorithm for characterizing and tracking the variation of properties. The links between mathematical and physical models have been discussed. The simulation experiments of tracking physic properties of steel material are investigated and verified. The estimation of normalized stage basis by using Tucker decomposition has shown high correlation relationships with different variation of physic properties in material.
Item Type: | Book Section |
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Uncontrolled Keywords: | Thermal tensor mathematical model, Non-destructive testing and evaluation, Tucker decomposition, Material properties variation tracking |
Subjects: | H900 Others in Engineering |
Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
Depositing User: | Becky Skoyles |
Date Deposited: | 01 May 2019 09:24 |
Last Modified: | 10 Oct 2019 19:31 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/39117 |
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