Topology optimization of anisotropic magnetic composites in actuators using homogenization design method

Jaewook Lee, Jeonghoon Yoo, Seungjae Min, Minho Yoon

Research output: Contribution to journalArticle

Abstract

This work presents topology optimization of anisotropic magnetic composites in actuators. The magnetic composite consists of two different ferromagnetic materials with high and low magnetic reluctivity, which correspond to matrix and fiber materials, respectively. The magnetic composite is expected to enhance the actuator performance when it is properly designed. The proposed design optimization scheme can find the composite layout, fiber volume fraction, and fiber orientations to achieve an actuator force maximization. In the proposed scheme, four microstructure design variables are assigned at each finite element, and the effective homogenized material property (i.e., magnetic reluctivity) is calculated using the asymptotic homogenization method. The microstructure design variables are then optimized to achieve the optimal distribution of the homogenized material property in a macroscopic scale. In the design result, discrete fiber orientations and volume fractions are achieved by applying the discrete penalization scheme. In addition, the obtained composite design result is visualized using the projection method proposed for a periodic composite design result. The effectiveness of the proposed topology optimization procedures is validated in magnetic actuator design examples. In addition, the design result of anisotropic composite is compared with the isotropic multi-material design result to validate the benefit of anisotropic composite in actuators.

Original languageEnglish
JournalStructural and Multidisciplinary Optimization
DOIs
Publication statusPublished - 2019 Jan 1

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Homogenization Method
Topology Optimization
Shape optimization
Design Method
Actuator
Actuators
Composite
Composite materials
Fiber Orientation
Fiber reinforced materials
Volume Fraction
Material Properties
Microstructure
Volume fraction
Materials properties
Magnetic actuators
Fiber
Ferromagnetic Materials
Homogenization method
Material Design

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Control and Optimization

Cite this

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abstract = "This work presents topology optimization of anisotropic magnetic composites in actuators. The magnetic composite consists of two different ferromagnetic materials with high and low magnetic reluctivity, which correspond to matrix and fiber materials, respectively. The magnetic composite is expected to enhance the actuator performance when it is properly designed. The proposed design optimization scheme can find the composite layout, fiber volume fraction, and fiber orientations to achieve an actuator force maximization. In the proposed scheme, four microstructure design variables are assigned at each finite element, and the effective homogenized material property (i.e., magnetic reluctivity) is calculated using the asymptotic homogenization method. The microstructure design variables are then optimized to achieve the optimal distribution of the homogenized material property in a macroscopic scale. In the design result, discrete fiber orientations and volume fractions are achieved by applying the discrete penalization scheme. In addition, the obtained composite design result is visualized using the projection method proposed for a periodic composite design result. The effectiveness of the proposed topology optimization procedures is validated in magnetic actuator design examples. In addition, the design result of anisotropic composite is compared with the isotropic multi-material design result to validate the benefit of anisotropic composite in actuators.",
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Topology optimization of anisotropic magnetic composites in actuators using homogenization design method. / Lee, Jaewook; Yoo, Jeonghoon; Min, Seungjae; Yoon, Minho.

In: Structural and Multidisciplinary Optimization, 01.01.2019.

Research output: Contribution to journalArticle

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