Optimization Approach in Axisymmetric Problems of Manipulating DC Currents

TL;DR

This paper develops a particle swarm optimization method to solve inverse problems in designing layered spherical shells for shielding or cloaking DC electric fields, identifying structures with optimal performance.

Contribution

Introduces a numerical optimization approach using particle swarm algorithms for designing layered shells with enhanced cloaking or shielding capabilities.

Findings

Identifies easy-to-manufacture layered structures with high cloaking performance.

Demonstrates the effectiveness of the optimization algorithm through numerical experiments.

Provides a broad set of design solutions for practical applications.

Abstract

Inverse problems of electric conductivity are studied that arise in the design of spherical shielding or cloaking shells and other functional devices used to control DC electric fields. The shells are considered consisting of a finite number of layers filled with homogeneous isotropic or anisotropic medium. The inverse problems under study are reduced to control problems with the layer electric conductivities taken as controls. A numerical algorithm to solve these problems is based on particle swarm optimization. Various results of numerical experiments are discussed. The findings obtained in this study describe a broad set of specific easy-to-manufacture structures that have the highest cloaking or shielding performance in the class of layered shells.