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Topology optimization for three-dimensional design of segmented permanent magnet arrays

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Abstract

This paper proposes a topology optimization formulation for the three-dimensional (3-D) design of segmented permanent magnet (PM) arrays. Specifically, the proposed formulation aims to find an optimal 3-D structural topology of PM segments and their discrete magnetization directions. To achieve this, a design variable is defined in the vector form of a Cartesian coordinate system. The magnitude of the design variable vector determines a PM density, and the directional cosines of the vector determine PM magnetization directions. To acquire a segmented PM design with discrete magnetization directions, a PM strength penalization scheme is proposed. In this scheme, a PM strength is controlled using a minimum distance function between a magnetization direction and target discrete directions. Here, the minimum distance function is approximated using the p-norm for sensitivity calculation. To validate the effectiveness of the proposed formulation, three design examples are provided. In the first example, a two-dimensional (2-D) dipole Halbach cylinder is designed to confirm that the proposed formulation can be applied for a 2-D design problem. The second example aims to design 3-D dipole PM arrays with a cuboid cavity. In the third example, a 3-D PM arrays are designed for maximizing the magnetic force acting on a soft ferromagnetic material.

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References

  • Albert C, Huber C, Brunckner F, Vogler C, Wautischer G, Suess D (2017) A fast finite-difference algorithm for topology optimization of permanent magnets. J Appl Phys 122:113904

    Article  Google Scholar 

  • Asai Y, Ota T, Yamamoto T, Hirata K (2017) Proposed of novel linear oscillating actuator’s structure using topology optimization. IEEE Trans Magn 53(6):8203204

    Article  Google Scholar 

  • Bendsøe MP, Kikuchi N (1988) Generating optimal topologies in structural design using a homogenization method. Comput Methods Appl Mech Eng 71:197–224

    MathSciNet  MATH  Google Scholar 

  • Bendsøe MP, Sigmund O (2004) Topology optimization—theory, methods and applications. Springer, Berlin

    MATH  Google Scholar 

  • Bjørk R, Insinga AR (2018) A topology optimized switchable permanent magnet system. J Magn Magn Mater 465:106–113

    Article  Google Scholar 

  • Bjørk R, Bahl CRH, Insinga AR (2017) Topology optimized permanent magnet systems. J Magn Magn Mater 437:78–85

    Article  Google Scholar 

  • Choi JS, Yoo J (2008) Design of a Halbach magnet array based on optimization techniques. IEEE Trans Magn 44(10):2361–2366

    Article  Google Scholar 

  • Choi JS, Yoo J (2010) Optimal design method for magnetization directions of a permanent magnet array. J Magn Magn Mater 332(15):2145–2151

    Article  Google Scholar 

  • Choi JS, Yoo J, Nishiwaki S, Izui K (2010) Optimization of magnetization directions in a 3-D magnetic structure. IEEE Trans Magn 46(6):1603–1606

    Article  Google Scholar 

  • Choi JS, Izui K, Nishiwaki S, Kawamoto A, Nomura T (2011) Topology optimization of the stator for minimizing cogging torque of IPM motors. IEEE Trans Magn 47(10):3024–3027

    Article  Google Scholar 

  • Coey JMD (2002) Permanent magnet applications. J Magn Magn Mater 248(3):441–456

    Article  Google Scholar 

  • Dede EM, Lee J, Nomura T (2014) Multiphysics simulation: electromechanical system applications and optimization. Springer, Berlin

    Book  Google Scholar 

  • Halbach K (1980) Design of permanent multipole magnets with oriented rare earth cobalt material. Nucl Instrum 169(1):1–10

    Article  MathSciNet  Google Scholar 

  • Huber C, Albert C, Brunckner F, Pfaff C, Kriwet J, Groenefeld M, Teliban I, Vogler C, Suess D (2017) Topology optimized and 3D printed polymer-bonded permanent magnets for a predefined external field. J Appl Phys 122:053904

    Article  Google Scholar 

  • Huber C, Goertler M, Abert C, Bruckner F, Groenefeld M, Teliban I, Suess D (2018) Additive manufactured and topology optimized passive shimming elements for permanent magnetic systems. Sci Rep 8:14651

    Article  Google Scholar 

  • Insinga AR, Smith A, Bahl CRH, Nielsen KK, Bjørk R (2019) Optimal segnetation of three-dimensional permanent-magnet assemblies. Phys Rev Appl 12:064034

    Article  Google Scholar 

  • Kawamoto A, Matsumori T, Yamasaki S, Nomura T, Kondoh T, Nishiwaki S (2011) Heaviside projection based topology optimization by a PDE-filtered scalar function. Struct Multidisc Optim 44:19–24

    Article  Google Scholar 

  • Lazarov BS, Sigmund O (2011) Filters in topology optimization as a solution to Helmholtz type differential equation. Int J Numer Meth Eng 86(6):765–781

    Article  Google Scholar 

  • Lee J (2010) Structural design optimization of electric motors to improve torque performance, Ph.D. dissertation, Dept. Mech. Eng. Univ. Michigan Ann Arbor

  • Lee J, Kikuchi N (2010) Structural topology optimization of electrical machinery to maximize stiffness with body force distribution. IEEE Trans Magn 46(10):3790–3794

    Article  Google Scholar 

  • Lee J, Lee J (2020) Magnetic force enhancement using air-gap magnetic field manipulation by optimized coil currents. Appl Sci 10(1):104

    Article  Google Scholar 

  • Lee J, Yoon SW (2015) Optimization of magnet and back-iron topologies in electromagnetic vibration energy harvesters. IEEE Trans Magn 51(6):7208807

    Google Scholar 

  • Lee J, Seo JH, Kikuchi N (2010) Topology optimization of switched reluctance motors for the desired torque profile. Struct Multidisc Optim 42:783–796

    Article  Google Scholar 

  • Lee J, Dede EM, Nomura T (2011) Simultaneous design optimization of permanent magnet, coils, and ferromagnetic material in actuators. IEEE Trans Magn 47(12):4712–4716

    Article  Google Scholar 

  • Lee J, Dede EM, Banerjee D, Iizuka H (2012) Magnetic force enhancement in a linear actuator by air-gap magnetic field distribution optimization and design. Finite Elem Anal Des 58:44–52

    Article  Google Scholar 

  • Lee J, Nomura T, Dede EM (2017) Topology optimization of Halbach magnet arrays using isoparametric projection. J Magn Magn Mater 432:140–153

    Article  Google Scholar 

  • Lee J, Lee S-W, Kim K, Lee J (2018a) Multi-material topology optimization of magnetic actuator with segmented permanent magnets. IEEE Trans Magn 54(7):8202706

    Article  Google Scholar 

  • Lee J, Kim D, Nomura T, Dede EM, Yoo J (2018b) Topology optimization for continuous and discrete orientation design of functionally graded fiber-reinforced composite structures. Compos Struct 201:217–233

    Article  Google Scholar 

  • Lee J, Yoon M, Nomura T, Dede EM (2018c) Topology optimization for design of segmented permanent magnet arrays with ferromagnetic materials. J Magn Magn Mater 449:571–581

    Article  Google Scholar 

  • Lee J, Yoo J, Min S, Yoon M (2019) Topology optimization of anisotropic magnetic composites in actuators using homogenization design method. Struct Multidisc Optim 60:1423–1436

    Article  MathSciNet  Google Scholar 

  • Nomura T, Dede EM, Lee J, Yamasaki S, Matsumori T, Kawamoto A, Kikuchi N (2015) General topology optimization method with continuous and discrete orientation design using isoparametric projection. Int J Numer Meth Eng 101(8):571–605

    Article  MathSciNet  Google Scholar 

  • Park S, Min S, Yamasaki S, Nishiwaki S, Yoo J (2008) Magnetic actuator design using level set based topology optimization. IEEE Trans Magn 44(11):4037–4040

    Article  Google Scholar 

  • Petrovic M, Nomura T, Yamada T, Izui K, Nishiwaki S (2018) Orthotropic material orientation optimization method in composite laminates. Struc Multidisc Optim 57:815–828

    Article  MathSciNet  Google Scholar 

  • Putek P, Pulch R, Bartel A, Maten EJW, Günther M, Gawrylczyk KM (2016) Shape and topology optimization of a permanent -magnet machine under uncertainties. J Math Ind 6:11

    Article  MathSciNet  Google Scholar 

  • Sasaki H, Igarashi H (2019) Topology optimization accelerated by deep learning. IEEE Trans Magn 55(6):7401305

    Article  Google Scholar 

  • Svanberg K (1987) The method of moving asymptotes—a new method for structural optimization. Int J Numer Meth Eng 24(2):359–373

    Article  MathSciNet  Google Scholar 

  • Svanberg K (2002) A class of globally convergent optimization methods based on conservative convex separable approximations. SIAM J Optim 12(2):555–573

    Article  MathSciNet  Google Scholar 

  • Teyber R, Trevizoli PV, Christiaanse TV, Govindappa P, Niknia I, Rowe A (2017) Permanent magnet design for magnetic heat pumps using total cost minimization. J Magn Magn Mater 442: 87–96

    Article  Google Scholar 

  • Teyber R, Trevizoli PV, Christiaanse TV, Govindappa P, Rowe A (2018) Topology optimization of reduced rare-earth permanent magnet arrays with finite coercivity. J Appl Phys 123:193903

    Article  Google Scholar 

  • Wang S, Youn D, Moon H, Kang J (2005) Topology optimization of electromagnetic systems considering magnetization direction. IEEE Trans Magn 41(5):1808–1811

    Article  Google Scholar 

  • Wang Z, Huber C, Hu J, He J, Suess D, Wang S (2019) An electrodynamic energy harvester with a 3D printed magnet and optimized topology. Appl Phys Lett 114:013902

    Article  Google Scholar 

  • Yamashita Y, Okamoto Y (2020) Design optimization of synchronous reluctance motor for reducing iron loss and improving torque characteristics using topology optimization based on the level-set method. IEEE Trans Magn 56(3):7510704

    Article  Google Scholar 

Download references

Funding

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) (NRF-2019R1A2C1002808), and GIST Research Institute(GRI) grant funded by the GIST in 2020.

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Correspondence to Jaewook Lee.

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The authors declare that they have no conflict of interest.

Replication of results

The proposed topology optimization formulation is based on well-known three-field SIMP method with Helmholtz filtering and relaxed Heaviside function. The implementation for this known method have been provided in the relevant references cited in this paper. The extension of the three-field SIMP for the proposed design variable vector field is described in detail in Section 2.2. Additionally, the enough information to implement the proposed penalization scheme is provided in Section 2.3. Parameters required to reproduce the numerical examples are summarized in Table 1. Additional details that is necessary for the replication of the numerical examples such as initial setting of design variables are described in each subsection of Section 4.

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Responsible Editor: Somanath Nagendra

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Lee, J., Lee, J., Jung, T. et al. Topology optimization for three-dimensional design of segmented permanent magnet arrays. Struct Multidisc Optim 62, 3089–3104 (2020). https://doi.org/10.1007/s00158-020-02656-7

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  • DOI: https://doi.org/10.1007/s00158-020-02656-7

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