Pub Date : 2020-11-16DOI: 10.1109/cefc46938.2020.9451380
Hayaho Sato, S. Hiruma, H. Igarashi
This study introduces a novel multi-material topology optimization method that can represent material distribution with an arbitrary adjacency relationship. Different state spaces for the representation of material distribution are applied to the optimization of a permanent magnet motor for comparison. It is shown that the proposed method yields a higher permanent magnet motor torque performance compared to that of conventional methods. The effect of topology optimization setting on the optimized motor structure is also discussed.
{"title":"Multi-material Topology Optimization of Permanent Magnet Motor with Arbitrary Adjacency Relationship of Materials","authors":"Hayaho Sato, S. Hiruma, H. Igarashi","doi":"10.1109/cefc46938.2020.9451380","DOIUrl":"https://doi.org/10.1109/cefc46938.2020.9451380","url":null,"abstract":"This study introduces a novel multi-material topology optimization method that can represent material distribution with an arbitrary adjacency relationship. Different state spaces for the representation of material distribution are applied to the optimization of a permanent magnet motor for comparison. It is shown that the proposed method yields a higher permanent magnet motor torque performance compared to that of conventional methods. The effect of topology optimization setting on the optimized motor structure is also discussed.","PeriodicalId":439411,"journal":{"name":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128260201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-16DOI: 10.1109/CEFC46938.2020.9451408
G. Bramerdorfer, E. Marth, S. Silber, J. Bárta, I. Lolová, Ladislav Knebl
This work is about optimizing synchronous reluctance machines considering a topology optimization (TO) based approach. This technique gives more design flexibility when comparing with finding ideal parameters for predefined geometries. A consistent implementation is presented that significantly reduces the overall computational effort compared to classical TO. In addition, attention is paid to obtaining designs ready for manufacturing. By contrast to the majority of previous work, the analysis encompasses multiple often conflicting objectives relevant for manufacturers and consequent customers, i.e., efficiency, maximum torque, torque ripple, and power factor. Based on the derived results, an individual tradeoff can be found and new insights into optimal designs for various applications can be gained.
{"title":"Multi-Objective Topology Optimization of Synchronous Reluctance Machines Considering Design for Manufacturability Aspects","authors":"G. Bramerdorfer, E. Marth, S. Silber, J. Bárta, I. Lolová, Ladislav Knebl","doi":"10.1109/CEFC46938.2020.9451408","DOIUrl":"https://doi.org/10.1109/CEFC46938.2020.9451408","url":null,"abstract":"This work is about optimizing synchronous reluctance machines considering a topology optimization (TO) based approach. This technique gives more design flexibility when comparing with finding ideal parameters for predefined geometries. A consistent implementation is presented that significantly reduces the overall computational effort compared to classical TO. In addition, attention is paid to obtaining designs ready for manufacturing. By contrast to the majority of previous work, the analysis encompasses multiple often conflicting objectives relevant for manufacturers and consequent customers, i.e., efficiency, maximum torque, torque ripple, and power factor. Based on the derived results, an individual tradeoff can be found and new insights into optimal designs for various applications can be gained.","PeriodicalId":439411,"journal":{"name":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125654332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-16DOI: 10.1109/CEFC46938.2020.9451356
Dudu Zhang, F. Kasolis, C. Jörgens, M. Clemens
During high resolution transient electro-quasistatic field simulations, large sparse nonlinear algebraic systems need to be solved iteratively at each timestep. In previous works, the subspace projection extrapolation method and the Gaussian process regression method succeeded in providing improved start values with known previous transient solutions. In this work, a kernel-based regression model and a linear extrapolation model is combined for providing improved start values for a repeated iterative Newton-Raphson method used within an implicit time- integration scheme. The performance of estimated start values using the combined model on a small data set is presented and compared with other methods.
{"title":"Kernel-Based Regression in Transient Nonlinear Electro-Quasistatic Field Simulations","authors":"Dudu Zhang, F. Kasolis, C. Jörgens, M. Clemens","doi":"10.1109/CEFC46938.2020.9451356","DOIUrl":"https://doi.org/10.1109/CEFC46938.2020.9451356","url":null,"abstract":"During high resolution transient electro-quasistatic field simulations, large sparse nonlinear algebraic systems need to be solved iteratively at each timestep. In previous works, the subspace projection extrapolation method and the Gaussian process regression method succeeded in providing improved start values with known previous transient solutions. In this work, a kernel-based regression model and a linear extrapolation model is combined for providing improved start values for a repeated iterative Newton-Raphson method used within an implicit time- integration scheme. The performance of estimated start values using the combined model on a small data set is presented and compared with other methods.","PeriodicalId":439411,"journal":{"name":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126921191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-16DOI: 10.1109/CEFC46938.2020.9451502
Tomoki Sudo, Takuya Yokoyama, S. Wakao, K. Kondo, Keigo Ukita
In this paper, the nonconforming infinite edge element method with a reference line is developed for fast magnetic field analysis of infinitely long models such as railway system. The proposed method is effective for reducing calculation burden while retaining computational accuracy even in far region.
{"title":"Fast Magnetic Field Analysis by Using Nonconforming Infinite Edge Element Method with Reference Line","authors":"Tomoki Sudo, Takuya Yokoyama, S. Wakao, K. Kondo, Keigo Ukita","doi":"10.1109/CEFC46938.2020.9451502","DOIUrl":"https://doi.org/10.1109/CEFC46938.2020.9451502","url":null,"abstract":"In this paper, the nonconforming infinite edge element method with a reference line is developed for fast magnetic field analysis of infinitely long models such as railway system. The proposed method is effective for reducing calculation burden while retaining computational accuracy even in far region.","PeriodicalId":439411,"journal":{"name":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130880220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-16DOI: 10.1109/CEFC46938.2020.9451327
G. Bramerdorfer, E. Marth, S. Nuzzo, M. Galea
This work deals with the optimization of electric generators for multiple performance measures, e.g., the simultaneous maximization of the fundamental harmonic and the minimization of the total harmonic distortion of the Back-EMF. For a given slot/pole-configuration and pole span, the goal is to find the optimal rotor outer contour along the air gap. Different approaches for modeling the rotor contour are followed here, i.e., a Fourier-series based approach and a piecewise discretization of the circumference. The work is about performing optimizations for both approaches and to compare the achieved results (i) when considering similar computational effort, (ii) regarding modeling complexity versus design flexibility, and (iii) the possibility for acquiring additional information, as for instance the sensitivity of the contour regarding manufacturing tolerances.
{"title":"Multi-Objective Optimization of Medium-Scale Wound-Field Electric Generators","authors":"G. Bramerdorfer, E. Marth, S. Nuzzo, M. Galea","doi":"10.1109/CEFC46938.2020.9451327","DOIUrl":"https://doi.org/10.1109/CEFC46938.2020.9451327","url":null,"abstract":"This work deals with the optimization of electric generators for multiple performance measures, e.g., the simultaneous maximization of the fundamental harmonic and the minimization of the total harmonic distortion of the Back-EMF. For a given slot/pole-configuration and pole span, the goal is to find the optimal rotor outer contour along the air gap. Different approaches for modeling the rotor contour are followed here, i.e., a Fourier-series based approach and a piecewise discretization of the circumference. The work is about performing optimizations for both approaches and to compare the achieved results (i) when considering similar computational effort, (ii) regarding modeling complexity versus design flexibility, and (iii) the possibility for acquiring additional information, as for instance the sensitivity of the contour regarding manufacturing tolerances.","PeriodicalId":439411,"journal":{"name":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114007617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-16DOI: 10.1109/CEFC46938.2020.9451459
Fangwei Zhao, Xiuhe Wang, Wenliang Zhao, Lingling Sun, Jie Ren
This paper analyzes the inherent shaft voltage in line-start permanent magnet synchronous motor (LSPMSM). The magnetomotive force of per permanent magnet along the circumference of air gap is transformed into the distributed magnetomotive force. The analytical expression of shaft voltage is deduced. Rotor teeth width design and rotor teeth pairing design aimed at reduction of shaft voltage are studied on the basis of the equivalent magnetomotive force. Furthermore, several LSPMSM models are investigated by the finite element analysis (FEA) to verify the effectiveness of theoretical analysis.
{"title":"Optimization Analysis of Inherent Shaft Voltage in Line-Start Permanent Magnet Synchronous Motor","authors":"Fangwei Zhao, Xiuhe Wang, Wenliang Zhao, Lingling Sun, Jie Ren","doi":"10.1109/CEFC46938.2020.9451459","DOIUrl":"https://doi.org/10.1109/CEFC46938.2020.9451459","url":null,"abstract":"This paper analyzes the inherent shaft voltage in line-start permanent magnet synchronous motor (LSPMSM). The magnetomotive force of per permanent magnet along the circumference of air gap is transformed into the distributed magnetomotive force. The analytical expression of shaft voltage is deduced. Rotor teeth width design and rotor teeth pairing design aimed at reduction of shaft voltage are studied on the basis of the equivalent magnetomotive force. Furthermore, several LSPMSM models are investigated by the finite element analysis (FEA) to verify the effectiveness of theoretical analysis.","PeriodicalId":439411,"journal":{"name":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114260629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-16DOI: 10.1109/cefc46938.2020.9451318
Gyu-Heon Kim, T. Jung
In the application of small wind turbines, the minimization design of cogging torque is the most important to raise the utilization rate. In this paper, the stator teeth pairing design method is proposed to reduce the cogging torque of dual stator radial flux permanent magnet generators for small wind turbines. The proposed stator teeth pairing design method is to design the teeth width angle of the inner and outer stator differently from each other for the cancelation of cogging torque generated by each stator. For this study, 2D FEA is used for the analysis of cogging torque and driving characteristics. As a result, the applying effect of the suggested design method is verified.
{"title":"Stator Teeth Pairing Design for Reduction of Cogging Torque of Dual RFPM Generator","authors":"Gyu-Heon Kim, T. Jung","doi":"10.1109/cefc46938.2020.9451318","DOIUrl":"https://doi.org/10.1109/cefc46938.2020.9451318","url":null,"abstract":"In the application of small wind turbines, the minimization design of cogging torque is the most important to raise the utilization rate. In this paper, the stator teeth pairing design method is proposed to reduce the cogging torque of dual stator radial flux permanent magnet generators for small wind turbines. The proposed stator teeth pairing design method is to design the teeth width angle of the inner and outer stator differently from each other for the cancelation of cogging torque generated by each stator. For this study, 2D FEA is used for the analysis of cogging torque and driving characteristics. As a result, the applying effect of the suggested design method is verified.","PeriodicalId":439411,"journal":{"name":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116307981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-16DOI: 10.1109/CEFC46938.2020.9451406
Bingqi Liu, Li Xu, Si-Yi Yang, Bin Li
A high order vector finite element method to analyze the scattering of complex structure is considered. The solution of large sparse complex linear system equation is the most memory and time consuming part of the finite element method (FEM). In order to solve the scattering problems by FEM efficiently, we use Krylov subspace iterative method to solve the FEM matrix and further introduce the p-type multigrid preconditioning method as the preconditioner of the iterative method. Finally, some numerical examples are presented to show the reliability and efficiency of the method in this paper.
{"title":"The Scattering Analysis of Complex Structure based on Fast Finite Element Method","authors":"Bingqi Liu, Li Xu, Si-Yi Yang, Bin Li","doi":"10.1109/CEFC46938.2020.9451406","DOIUrl":"https://doi.org/10.1109/CEFC46938.2020.9451406","url":null,"abstract":"A high order vector finite element method to analyze the scattering of complex structure is considered. The solution of large sparse complex linear system equation is the most memory and time consuming part of the finite element method (FEM). In order to solve the scattering problems by FEM efficiently, we use Krylov subspace iterative method to solve the FEM matrix and further introduce the p-type multigrid preconditioning method as the preconditioner of the iterative method. Finally, some numerical examples are presented to show the reliability and efficiency of the method in this paper.","PeriodicalId":439411,"journal":{"name":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116744330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-16DOI: 10.1109/CEFC46938.2020.9451492
Mohamed Rohaim, J. Kangas, Riikka Mikkonen, M. Mäntysalo
We address the design of multiband monopole-like antennas on thin, flexible, and high permittivity substrates. Antennas on such materials are of interest, e.g., in IoT applications and in printable electronics. As an example, we design an antenna for three LTE bands (0.8, 1.8, 2.6 GHz). The substrate used is $275 mu mathrm{m}$ thick, it has $epsilon_{r}approx 11$ and low dielectric loss and it supports screen printing. Our goals are (i) analyze step-by-step how various geometrical features affect the antenna performance and (ii) discuss building, modeling, and testing. We provide frequency domain, time domain, and characteristic mode analyses and measurement results.
我们讨论了在薄、柔性和高介电常数基板上设计多波段单极天线。这种材料上的天线是人们感兴趣的，例如，在物联网应用和可打印电子产品中。作为一个例子，我们设计了三个LTE频段(0.8,1.8,2.6 GHz)的天线。所使用的基材为$275 mu mathrm{m}$厚，具有$epsilon_{r}approx 11$和低介电损耗，并支持丝网印刷。我们的目标是(i)逐步分析各种几何特征如何影响天线性能和(ii)讨论构建，建模和测试。我们提供频域、时域和特征模态分析和测量结果。
{"title":"Design of Thin, High Permittivity, Multiband, Monopole-Like Antennas","authors":"Mohamed Rohaim, J. Kangas, Riikka Mikkonen, M. Mäntysalo","doi":"10.1109/CEFC46938.2020.9451492","DOIUrl":"https://doi.org/10.1109/CEFC46938.2020.9451492","url":null,"abstract":"We address the design of multiband monopole-like antennas on thin, flexible, and high permittivity substrates. Antennas on such materials are of interest, e.g., in IoT applications and in printable electronics. As an example, we design an antenna for three LTE bands (0.8, 1.8, 2.6 GHz). The substrate used is $275 mu mathrm{m}$ thick, it has $epsilon_{r}approx 11$ and low dielectric loss and it supports screen printing. Our goals are (i) analyze step-by-step how various geometrical features affect the antenna performance and (ii) discuss building, modeling, and testing. We provide frequency domain, time domain, and characteristic mode analyses and measurement results.","PeriodicalId":439411,"journal":{"name":"2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation (CEFC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114594789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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