Inverse Transformation in Eddy Current Tomography with Continuous Optimization of Reference Defect Parameters

Abstract

This paper presents a methodology of inverse tomography transformation in eddy current tomography with the use of continuous optimization of reference defect parameters. Ferromagnetic steel samples with rectangular air inclusion defects of known dimensions were prepared and measured using an eddy current tomography setup. FEM-based (Finite Element Method based) forward tomography transformation was developed and utilized in inverse tomography transformation. The presented method of inverse tomography transformation is based on the continuous optimization of parameters that can describe the sample, such as the diameter and dimensions of the reference defect. The obtained results of inverse tomography transformation were in high accordance with the real parameters of the samples. Additionally, the presented method had acceptable repeatability. The obtained values of the sample parameters fit within the range of expanded uncertainty when compared to the real parameters of the sample.

Improved Control of Mesh Density in Adaptive Tetrahedral Meshes for Finite Element Modeling

“…The finite element method (FEM) is widely used for modeling solid-state mechanics [4], flow [3], and magnetodynamic systems, including microwave [9] and magnetoinductive [7] systems. Recently developed open-source FEM-based toolchains give the unprecedented possibility of flexible modeling and development of advanced and sophisticated systems, such as eddy current tomography [8], resistive tomography [6,11], or airplane mechanics optimization [13].…”