In the ideal crack model (negligible thickness and an impenetrable barrier to electric current) in eddy‐current testing frame, the field‐flaw is equivalent to a current dipole layer on its surface. This dipole density is the solution of an integral equation with a hyperstrong kernel. This model has shown its efficiency, as well the computing accuracy, as for the CPU time. Furthermore, the case of a current leakage across crack was considered by introducing an equivalent conductivity of the crack. This paper aims at simulating a local varying conductivity. In particular, we focus on a constant piecewise conductivity. In this last case, because of the presence of the hypersingular kernel in the equation, the numerical scheme using the ideal case has to be modified.
Article navigation
1 December 2004
Technical Paper|
December 01 2004
Modelisation of thin cracks with varying conductivity in eddy‐current testing
Ph. Beltrame
Ph. Beltrame
University of Cottbus, Cottbus, Germany
Search for other works by this author on:
Publisher: Emerald Publishing
Online ISSN: 2054-5606
Print ISSN: 0332-1649
© Emerald Group Publishing Limited
2004
COMPEL (2004) 23 (4): 894–903.
Citation
Beltrame P (2004), "Modelisation of thin cracks with varying conductivity in eddy‐current testing". COMPEL, Vol. 23 No. 4 pp. 894–903, doi: https://doi.org/10.1108/03321640410553328
Download citation file:
New and popular articles
Suggested Reading
Current displacement in plane rectangular conductor: An analytical approach using BIE and separation
COMPEL (January,2009)
A fast 3D eddy current integral formulation
COMPEL (June,2001)
Modelling eddy currents in thin shields
COMPEL (July,2009)
Related Chapters
Achieving Minimal Consensus for New Industries: Bringing Isomorphism Back in
How Institutions Matter!
Using process capability analysis and simulation to improve patient flow
Applications of Management Science
Cost Accounting and Simulation: Toward a Post-Structuralist Understanding
Advances in Management Accounting
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
