DocumentCode
39996
Title
Performance Assessment of Induction Thermography Technique Applied to Carbon-Fiber-Reinforced Polymer Material
Author
Huu Kien Bui ; Wasselynck, Guillaume ; Trichet, Didier ; Berthiau, Gerard
Author_Institution
Inst. de Rech. en Energie Electr. de Nantes Atlantique, Univ. of Nantes, St. Nazaire, France
Volume
51
Issue
3
fYear
2015
fDate
Mar-15
Firstpage
1
Lastpage
4
Abstract
In this paper, a model is built to evaluate the flaw detection capacity of the induction thermography applied to nondestructive testing (NDT) of carbon-fiber-reinforced polymer composite. A homogenization approach is used to overcome the large-scale factor. The homogenized electric conductivity obtained is used in a 3-D multilayer finite element model. The problem is discretized by hexahedral element to deal with the numeric instability of tetrahedron element in the modeling of thin and strongly anisotropic domain. The distribution of current in the induction coil is also considered to improve the accuracy of the solution. Numerical model is then validated by comparison with measurement. Simulation of an NDT case with induction thermography will be discussed.
Keywords
carbon fibre reinforced plastics; current distribution; eddy current testing; electrical conductivity; finite element analysis; infrared imaging; large-scale systems; multilayers; nondestructive testing; 3D multilayer finite element model; NDT; carbon-fiber-reinforced polymer material; current distribution; flaw detection capacity; hexahedral element; homogenization approach; homogenized electric conductivity; induction coil; induction thermography technique; large-scale factor; nondestructive testing; numerical model; performance assessment; strongly anisotropic domain; tetrahedron element; Conductivity; Delamination; Electric potential; Electromagnetics; Inductors; Numerical models; Tensile stress; Composite materials; finite element analysis; nondestructive testing (NDT);
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2014.2363079
Filename
7093393
Link To Document