Multi-Material Magneto-Structural Topological Optimization of Wound Field Synchronous Machines

Guo, Feng; Brown, Ian

doi:10.1109/ecce.2019.8913309

Cited by 13 publications

(9 citation statements)

References 16 publications

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“…Although one gene value of each design element is optimized in the single-material topology optimization, the design variables of multi-material topology optimization are twice the number of the single-material topology optimization (Sato et al , 2015; Jung and Min, 2019; Santhanakrishnan et al , 2019; Guo and Brown, 2019; Shah et al , 2021). Consequently, the solution space becomes more complex than that of single-material topology optimization.…”

Section: Optimization Methodsmentioning

confidence: 99%

“…In the present study, a novel multi-material topology optimization method is proposed to improve the performance of PM-SyRMs. In the conventional method, the distributions of the magnet, core and air materials are varied simultaneously (Sato et al , 2015; Jung and Min, 2019; Santhanakrishnan et al , 2019; Guo and Brown, 2019; Shah et al , 2021). Because design parameters, by which the material distribution of magnets, cores and air is expressed, are more than that of the single-material topology optimization, the solution space becomes more complex and it is difficult to obtain optimal solutions with better performance using the conventional multi-material topology optimization method.…”

Section: Introductionmentioning

confidence: 99%

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A novel multi-material topology optimization method for permanent magnet assisted synchronous reluctance motors

Hidaka

2022

COMPEL

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Purpose The purpose of this paper is to develop a multi-material topology optimization method for permanent magnet-assisted synchronous reluctance motors. Design/methodology/approach In the proposed method, the optimization procedure consists of two steps. In the first step, the entire rotor area was selected for the design region and the distribution of the core and air materials was optimized. In the second step, the design region was limited to the air region of the former solution and the distribution of magnets and cores or magnets and air was optimized. Findings Because of the two-step process of the proposed method, the design parameters can be reduced compared to the conventional method. As a result, this study can prevent the solution space from becoming more complex and superior solutions can be founded effectively. Research limitations/implications Since limited case study is denoted in this paper, much more case studies, for example, three-dimensional optimization problems, are needed to be discussed. Practical implications The optimal solutions obtained by the proposed method have a smaller magnet volume and higher average torque than that of the conventional method. Originality/value In the proposed methods, optimization methodology, which consists of two-steps process, is differed from the conventional method.

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Section: Optimization Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel multi-material topology optimization method for permanent magnet assisted synchronous reluctance motors

Hidaka

2022

COMPEL

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“…The second step optimization in the proposed method aims to design detailed shapes through local searching. Therefore, instead of multi-material optimization for global search, as denoted in [21][22][23][24], the optimization method for local search described in [25] is used. In this method, the definition of the design region is different from that in other methods.…”

Section: Second Step Optimizationmentioning

confidence: 99%

“…Through this structure, both the magnet and reluctance torque can be utilized effectively; thus, high torque can be obtained with a small magnet. To apply the topology optimization method to hybrid-type motors, multi-material topology optimization is required [21][22][23][24]. In [21], the magnet, flux barrier, and core shape of a PM motor were represented by multiple shape functions.…”

Section: Introductionmentioning

confidence: 99%

“…The material properties of each finite element were selected according to the values of these shape functions, and the rotor shape was varied by changing the shape function values using a genetic algorithm. In [23], the rotor shape of the WF motor was optimized based on the same optimization process. Conventional multi-material topology optimization methods initiate the magnetic design from scratch and cannot take advantage of the existing motor geometries.…”

Section: Introductionmentioning

confidence: 99%

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Multimaterial Topology Optimization Method Based on Global Search by Combinatorial Optimization and Local Search by Variable Design Region Method

Hidaka

2022

IEEE Access

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This paper presents a novel multi-material topology optimization method for electric motors. In the proposed method, the search process is divided into two steps. First, combinatorial optimization is conducted, wherein two different types of motors are used. Owing to this, for example, motor shapes that have both the high torque density of permanent magnet motors and the variable flux capability of wound field motors can be obtained. Second, the optimal solution obtained through the combinatorial optimization is used as the initial solution, and multi-material topology optimization with variable design region method is performed. By using the proposed method, we can obtain design solutions that have high performance on complex motors with various materials, such as hybrid field motors and permanent magnet assisted synchronous reluctance motors. To validate the effectiveness, rotors of a hybrid field motor and a permanent magnet assisted synchronous reluctance motor are optimized using the proposed method. From the numerical results, it can be confirmed that the solution obtained by the proposed method has a better performance than that of the conventional multi-material topology optimization.INDEX TERMS Combinatorial optimization, hybrid field motor, multi-material, permanent assisted synchronous reluctance motor, topology optimization.

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Novel multi-material topology optimization method for multi-segmented permanent magnet motors

Hidaka

2024

COMPEL

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Purpose The purpose of this paper is to develop a novel optimization method that can improve the convergence of the multi-material topology. Design/methodology/approach In the proposed method, the optimization procedure is divided into two steps. In the first step, a global search is performed to probabilistically determine the material distribution of multi-segmented magnets. In the second step, the design area is limited and a local search is performed to determine the detailed magnet shape. Findings Because the first optimization step determines the arrangement of the magnetization vectors according to the rotational position, as in a d-axis flux concentration orientation, the optimal solution can be obtained with a smaller volume of magnets than the conventional method. Research limitations/implications Because a few case studies are considered in this paper, additional verification is required, such as application to different types of motors, to clarify scalability. Practical implications The solution obtained using the proposed method has a smaller amount of magnet than the solution obtained using the conventional method and can fully satisfy the average torque constraint. Originality/value The proposed method differs from the conventional method in that the material distribution is determined according to the probability function in the first optimization step.

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Multi-Material Magneto-Structural Topological Optimization of Wound Field Synchronous Machines

Cited by 13 publications

References 16 publications

A novel multi-material topology optimization method for permanent magnet assisted synchronous reluctance motors

A novel multi-material topology optimization method for permanent magnet assisted synchronous reluctance motors

Multimaterial Topology Optimization Method Based on Global Search by Combinatorial Optimization and Local Search by Variable Design Region Method

Novel multi-material topology optimization method for multi-segmented permanent magnet motors

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