Berlin 2018 – scientific programme

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MA: Fachverband Magnetismus

MA 21: Poster I

MA 21.81: Poster

Tuesday, March 13, 2018, 09:30–13:00, Poster A

Inverse Coil Design by Simulation based Optimization — •Lennart Weber, Simon Bekemeier, and Christian Schröder — Bielefeld Institute for Applied Materials Research (BIfAM), Computational Materials Science and Engineering (CMSE), University of Applied Sciences Bielefeld, Department of Engineering Sciences and Mathematics, Interaktion 1, D-33619 Bielefeld

Inductive power transfer is nowadays a widely used technology. One example is inductive heating, where the used coils are usually planar with homogeneous winding distances. With regard to energy efficiency, comfort and electromagnetic compatibility it is desirable to start from an optimal magnetic field distribution and derive the necessary coil geometry from it. Such an approach requires inverting the Biot-Savart law, which poses an ill-posed problem. This can usually be addressed by so-called target-field methods. Here, we propose a different approach, namely a direct approach using a parametric representation of the coil geometry. Based on this we solve the forward problem, i.e. calculate the magnetic field and optimize the parameters of the coil by Simulated Annealing in order to minimize the difference between the present field and the target field. Furthermore, we examine machine learning algorithms and other optimization techniques, beside Simulated Annealing, to speed-up our calculations and improve our approach.