Abstract
The created computer model of the process of measuring continuously changing profiles of electrical conductivity and magnetic permeability in objects with a surface eddy current probe is considered as a tool for developing a computationally efficient metamodel on artificial neural networks, necessary for solving the inverse electrodynamic problem. Also, this computer model is used to simulate the measurement processes in various frequency modes of excitation of eddy currents in magnetic and non-magnetic test objects to study the sensitivity of the method to distinguish a series of slightly different profiles, to determine the optimal frequency ranges that provide the highest possible levels of the output signal of the surface probe. The reliability of the computer model is verified on simple test cases when the near-surface layer is represented by one- and two-layer approximation. It is assumed that in these layers the values of electrical parameters are unchanged. The coincidence with acceptable accuracy of the results of calculations using the created computer model, oriented to a conditionally multilayer representation of test objects, and obtained results for simple cases, for which there are analytical dependences for calculating the output signal of eddy current probes, is shown. As a result of their comparison the adequacy of the created software is proved. A series of model experiments for test objects made of magnetic and non-magnetic materials has been carried out, allowing to make some recommendations regarding the choice of probe’s excitation modes, taking into account the specifics of materials magnetic properties.
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Halchenko, V., Trembovetska, R., Bazilo, C., Tychkova, N. (2023). Computer Simulation of the Process of Profiles Measuring of Objects Electrophysical Parameters by Surface Eddy Current Probes. In: Faure, E., Danchenko, O., Bondarenko, M., Tryus, Y., Bazilo, C., Zaspa, G. (eds) Information Technology for Education, Science, and Technics. ITEST 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-031-35467-0_25
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