Topology Optimization Empowers the Design of Interior Permanent Magnet (IPM) Motors

Xue, Sainan; Acharya, Ved

doi:10.1109/itec48692.2020.9161718

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…Another concern associated with TO is the computation efforts. Optimization of just the permanent magnet rotor core in [88], via genetic algorithm, can take up to hundreds of generations to result in the Pareto front. Thus, significant computation effort would be required for of a multiobjective, multi-physics TO of multiple materials.…”

Section: Integration With Topology Optimizationmentioning

confidence: 99%

Additive Manufacturing and Topology Optimization of Magnetic Materials for Electrical Machines—A Review

2021

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Additive manufacturing has many advantages over traditional manufacturing methods and has been increasingly used in medical, aerospace, and automotive applications. The flexibility of additive manufacturing technologies to fabricate complex geometries from copper, polymer, and ferrous materials presents unique opportunities for new design concepts and improved machine power density without significantly increasing production and prototyping cost. Topology optimization investigates the optimal distribution of single or multiple materials within a defined design space, and can lead to unique geometries not realizable with conventional optimization techniques. As an enabling technology, additive manufacturing provides an opportunity for machine designers to overcome the current manufacturing limitation that inhibit adoption of topology optimization. Successful integration of additive manufacturing and topology optimization for fabricating magnetic components for electrical machines can enable new tools for electrical machine designers. This article presents a comprehensive review of the latest achievements in the application of additive manufacturing, topology optimization, and their integration for electrical machines and their magnetic components.

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Section: Integration With Topology Optimizationmentioning

confidence: 99%

Additive Manufacturing and Topology Optimization of Magnetic Materials for Electrical Machines—A Review

2021

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“…TO is an optimization method which is normally used in mechanical engineering for structural analysis [1]- [3], having commercial software available for this purpose [4]. However, its availability in other fields, such as electromagnetic or thermal analysis, is limited [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Novel Topology Optimization Method for Weight Reduction in Electrical Machines

et al. 2022

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This paper proposes a combined electromagnetic and mechanical topology optimization for weight reduction in electrical machines based on Finite Element Analysis (FEA) and Evolutionary Structural Optimization (ESO). The devised method is an on-off-type algorithm with adaptative mesh in which low flux density and low Von Mises stress cells are removed successively from a first machine design. With this approach, the weight of the machine can be considerably reduced without compromising the electromagnetic performance of the machine, with a reduced computation time compared to other topology optimization methods. A case study involving a 1.2 MW low-speed, permanent magnet motor is analyzed under different conditions (algorithm parameters, initial mesh, rotational speed) and used to compare the proposed method with two other topology optimization approaches.

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“…In [7], sensitivity analysis and GA are performed to optimize the magnetic actuator's yoke. In [15], different rotor topologies are explored using GA with the ON/OFF method based on the normalized Gaussian network. The ON/OFF method is extended by the unstructured mesh and immune algorithm, improving the torque performance.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Asymmetric Rotor Pole for Interior Permanent Magnet Synchronous Motor Using Topology Optimization

Niu

2022

Energies

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As asymmetric interior permanent magnet synchronous motor (AIPMSM) has excellent performance but complicated topological structure, a novel high-resolution encoding and edge smoothing method is proposed for topology optimization of the asymmetric rotor of interior permanent magnet synchronous motor (IPMSM) in this study. This method aims to solve complex electromagnetic design problems with time-dependent performance through a multi-objective genetic algorithm (MOGA) integrated with a high-resolution encoding and edge smoothing method. The complex structure is represented by a high-resolution image-like matrix and then vectorized by the edge smoothing method. Therefore, the commonly used discrete binary encoded variables related to the finite element (FE) model are replaced with a vectorized topological structure and other control variables. In this sense, high-resolution matrix and edge smoothing methods are used for the first time to represent the rotor topology of AIPMSMs. Compared with the traditional topology optimization method, the proposed method has the advantage of expressing more complex and vectorized topological structures; meanwhile, the obtained performance is accurate and trustworthy using conventional FE simulation. Numerical results show that a stable convergence is achieved with the avoidance of checkerboards and material overlapping. It is shown that the proposed method can find solutions with better performances, in comparison with the reference model.

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Topology Optimization Empowers the Design of Interior Permanent Magnet (IPM) Motors

Cited by 7 publications

References 6 publications

Additive Manufacturing and Topology Optimization of Magnetic Materials for Electrical Machines—A Review

Additive Manufacturing and Topology Optimization of Magnetic Materials for Electrical Machines—A Review

Novel Topology Optimization Method for Weight Reduction in Electrical Machines

Optimal Design of Asymmetric Rotor Pole for Interior Permanent Magnet Synchronous Motor Using Topology Optimization

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