Multi-material topology optimization for automotive design problems

Li, Chao; Kim, Il Yong

doi:10.1177/0954407017737901

Cited by 56 publications

(19 citation statements)

References 28 publications

(29 reference statements)

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“…Estimation of the value of the coefficient of a synchronous motor in order to check the achievement of a given value of flux linkage Ψƒ after correcting the number of turns of the stator winding of the motor [8][9][10][11][12][13].…”

Section: Theoretical Aspectsmentioning

confidence: 99%

Changing the design of a synchronous motor after testing

et al. 2020

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In the course of work on the project, we have created a permanent magnet synchronous motor, which will be effectively used in the oil industry, or rather 2 models: 15and 55-kW motors. After the tests carried out, the problem with the achievement of the specified value of the efficiency of the engines was clarified, and it was necessary to solve this problem without significantly changing the design. One of the solutions is presented in the article.

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Section: Theoretical Aspectsmentioning

confidence: 99%

Changing the design of a synchronous motor after testing

et al. 2020

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“…Li and Kim demonstrated the effectiveness of the three‐phase SIMP formulation with an optimization study of a complex engine cradle. The optimized engine cradle design achieved by their three‐phase SIMP approach was over 23% stiffer than the design achieved by single‐material topology optimization, while maintaining the same mass …”

Section: Introductionmentioning

confidence: 96%

“…The optimized engine cradle design achieved by their three-phase SIMP approach was over 23% stiffer than the design achieved by single-material topology optimization, while maintaining the same mass. 13 The SIMP formulation can be further extended to m-phase materials, but this is often limited by computational costs since an extension to m-phase materials requires (m − 1) DVs for each element. Alternative approaches that can represent m-phase materials without increasing the number of DVs include a continuous peak interpolation function proposed by Yin and Ananthrasuresh, 14 and a piecewise interpolation curve proposed by Zuo and Saitou.…”

Section: Introductionmentioning

confidence: 99%

Multimaterial multijoint topology optimization

Woischwill

Kim

2018

Numerical Meth Engineering

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Summary In this paper, a methodology that solves multimaterial topology optimization problems while also optimizing the quantity and type of joints between dissimilar materials is proposed. Multimaterial topology optimization has become a popular design optimization technique since the enhanced design freedom typically leads to superior solutions; however, the conventional assumption that all elements are perfectly fused together as a single piece limits the usefulness of the approach since the mutual dependency between optimal multimaterial geometry and optimal joint design is not properly accounted for. The proposed methodology uses an effective decomposition approach to both determine the optimal topology of a structure using multiple materials and the optimal joint design using multiple joint types. By decomposing the problem into two smaller subproblems, gradient‐based optimization techniques can be used and large models that cannot be solved with nongradient approaches can be solved. Moreover, since the joining interfaces are interpreted directly from multimaterial topology optimization results, the shape of the joining interfaces and the quantity of joints connecting dissimilar materials do not need to be defined a priori. Three numerical examples, which demonstrate how the methodology optimizes the geometry of a multimaterial structure for both compliance and cost of joining, are presented.

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“…As a result of the interaction of the constant magnetic flux with the stator field, a torque is generated. Consequently, the energy, weight, size and dynamic performance of a permanent magnet synchronous machine depends on the properties and topology of the materials used in the manufacture of the rotor [1,2,5].…”

Section: Introductionmentioning

confidence: 99%

Topological optimization of the rotors of permanent magnet synchronous motors

Сафин

Цветков

2020

E3S Web Conf.

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Permanent magnet synchronous motors are increasingly used in the oil industry. These motors need to be made more energy efficient. To do this, it is necessary to optimize the rotor of a synchronous motor by changing the design through topological optimization. Designing an electrical machine as a heuristic process does not guarantee finding the best solution. Methods are needed that complement the experience and intuition of the designer to find the optimal (rational) solution. Topological optimization is currently performed using the finite element method to reduce mass and improve the stiffness of structures. The proposed method allows you to transfer topological optimization to electromagnetic processes in permanent magnet synchronous motors to determine the direction of magnetization and the size of permanent magnets, for a given mass-dimensional parameters. Optimization of the rotor of a serial permanent magnet motor based on a genetic algorithm is proposed. A new topology of the rotor of the motor was calculated and an increase in the torque was obtained by 18.2%, which indicates that topological optimization is promising for synchronous motors with permanent magnets.

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Multi-material topology optimization for automotive design problems

Cited by 56 publications

References 28 publications

Changing the design of a synchronous motor after testing

Changing the design of a synchronous motor after testing

Multimaterial multijoint topology optimization

Topological optimization of the rotors of permanent magnet synchronous motors

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