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Topology Optimization of Electromagnetic Devices Using Digital Annealer

Akito Maruo, Takeshi Soeda, Hajime Igarashi

2022IEEE Transactions on Magnetics19 citationsDOIOpen Access PDF

Abstract

Topology optimization (TO) has been formulated as a quadratic unconstrained binary optimization (QUBO) problem that can be solved by Digital Annealer (DA) and quantum computers, which can realize massive parallelization. It is shown that the 3-D TO of a permanent magnet (PM), with 600 unknowns, is successfully performed by the DA with the aid of the finite element method (FEM) for field computations. Moreover, it is shown to perform TO of a magnetic core, with 758 unknowns, in such a way that the QUBO and field problems are iteratively solved to determine the optimal solution in which the magnetic field and optimal core structure are self-consistent.

Topics & Concepts

Quadratic unconstrained binary optimizationFinite element methodTopology optimizationTopology (electrical circuits)Computer scienceComputationField (mathematics)Quadratic equationBinary numberCore (optical fiber)Quantum computerMathematical optimizationAlgorithmQuantumPhysicsMathematicsTelecommunicationsQuantum mechanicsPure mathematicsGeometryThermodynamicsCombinatoricsArithmeticTopology Optimization in EngineeringAdvanced Multi-Objective Optimization AlgorithmsMetaheuristic Optimization Algorithms Research
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