Thermography spatial-transient-stage tensor model and materal property characterization

Bin Gao; Aijun Yin; Yizhe Wang; Guiyun Tian; W. L. Woo; Hanxiao Liu

doi:10.1109/FENDT.2014.6928262

Thermography spatial-transient-stage tensor model and materal property characterization

Bin Gao^*, Aijun Yin, Yizhe Wang, Guiyun Tian, W. L. Woo, Hanxiao Liu

^*Corresponding author for this work

Computer Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	FENDT 2014 - Proceedings, 2014 IEEE Far East Forum on Nondestructive Evaluation/Testing
Subtitle of host publication	New Technology and Application, Increasingly Perfect NDT/E
Editors	Qinxue Pan, Chunguang Xu, Liu Yang
Publisher	IEEE
Pages	199-203
Number of pages	5
ISBN (Electronic)	9781479947300
ISBN (Print)	9781479947317
DOIs	https://doi.org/10.1109/FENDT.2014.6928262
Publication status	Published - 20 Oct 2014
Event	2014 IEEE 11th Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, FENDT 2014 - Chengdu, China Duration: 20 Jun 2014 → 23 Jun 2014

Conference

Conference	2014 IEEE 11th Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, FENDT 2014
Country/Territory	China
City	Chengdu
Period	20/06/14 → 23/06/14

Keywords

Material properties variation tracking
Non-destructive testing and evaluation
Thermal tensor mathematical model
Tucker decomposition

Access to Document

10.1109/FENDT.2014.6928262

Cite this

Gao, B., Yin, A., Wang, Y., Tian, G., Woo, W. L., & Liu, H. (2014). Thermography spatial-transient-stage tensor model and materal property characterization. In Q. Pan, C. Xu, & L. Yang (Eds.), FENDT 2014 - Proceedings, 2014 IEEE Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, Increasingly Perfect NDT/E (pp. 199-203). IEEE. https://doi.org/10.1109/FENDT.2014.6928262

@inproceedings{fd98ab86d3a04fad9681446e945a33d7,

title = "Thermography spatial-transient-stage tensor model and materal property characterization",

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.",

keywords = "Material properties variation tracking, Non-destructive testing and evaluation, Thermal tensor mathematical model, Tucker decomposition",

author = "Bin Gao and Aijun Yin and Yizhe Wang and Guiyun Tian and Woo, {W. L.} and Hanxiao Liu",

year = "2014",

month = oct,

day = "20",

doi = "10.1109/FENDT.2014.6928262",

language = "English",

isbn = "9781479947317",

pages = "199--203",

editor = "Qinxue Pan and Chunguang Xu and Liu Yang",

booktitle = "FENDT 2014 - Proceedings, 2014 IEEE Far East Forum on Nondestructive Evaluation/Testing",

publisher = "IEEE",

address = "United States",

note = "2014 IEEE 11th Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, FENDT 2014 ; Conference date: 20-06-2014 Through 23-06-2014",

}

Gao, B, Yin, A, Wang, Y, Tian, G, Woo, WL & Liu, H 2014, Thermography spatial-transient-stage tensor model and materal property characterization. in Q Pan, C Xu & L Yang (eds), FENDT 2014 - Proceedings, 2014 IEEE Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, Increasingly Perfect NDT/E. IEEE, pp. 199-203, 2014 IEEE 11th Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, FENDT 2014, Chengdu, China, 20/06/14. https://doi.org/10.1109/FENDT.2014.6928262

Thermography spatial-transient-stage tensor model and materal property characterization. / Gao, Bin; Yin, Aijun; Wang, Yizhe et al.
FENDT 2014 - Proceedings, 2014 IEEE Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, Increasingly Perfect NDT/E. ed. / Qinxue Pan; Chunguang Xu; Liu Yang. IEEE, 2014. p. 199-203.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Thermography spatial-transient-stage tensor model and materal property characterization

AU - Gao, Bin

AU - Yin, Aijun

AU - Wang, Yizhe

AU - Tian, Guiyun

AU - Woo, W. L.

AU - Liu, Hanxiao

PY - 2014/10/20

Y1 - 2014/10/20

N2 - 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.

AB - 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.

KW - Material properties variation tracking

KW - Non-destructive testing and evaluation

KW - Thermal tensor mathematical model

KW - Tucker decomposition

U2 - 10.1109/FENDT.2014.6928262

DO - 10.1109/FENDT.2014.6928262

M3 - Conference contribution

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A2 - Pan, Qinxue

A2 - Xu, Chunguang

A2 - Yang, Liu

PB - IEEE

T2 - 2014 IEEE 11th Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, FENDT 2014

Y2 - 20 June 2014 through 23 June 2014

ER -

Gao B, Yin A, Wang Y, Tian G, Woo WL, Liu H. Thermography spatial-transient-stage tensor model and materal property characterization. In Pan Q, Xu C, Yang L, editors, FENDT 2014 - Proceedings, 2014 IEEE Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, Increasingly Perfect NDT/E. IEEE. 2014. p. 199-203 doi: 10.1109/FENDT.2014.6928262

Thermography spatial-transient-stage tensor model and materal property characterization

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