2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG)最新文献

GPU-Accelerated Field Simulation of HVAC Gas Insulated Lines 暖通空调气体绝缘管路的gpu加速场仿真

2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG) Pub Date : 2022-10-01 DOI: 10.1109/CEFC-LONG57069.2022.10107547

Hendrik Hensel, Marvin-Lucas Henkel, N. Haussmann, C. Jörgens, S. Stroka, M. Clemens

引用次数: 0

Comparative Analysis of Mechanical Characteristics of Different Rotor Structures of High-Speed Permanent Magnet Synchronous Motor for Hydrogen Recirculation Pumps 氢再循环泵用高速永磁同步电机不同转子结构的力学特性比较分析

2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG) Pub Date : 2022-10-01 DOI: 10.1109/CEFC-LONG57069.2022.10107524

Ye Liu, Kang Ma, Zhuoran Zhang, Ziqiang Wei

{"title":"Comparative Analysis of Mechanical Characteristics of Different Rotor Structures of High-Speed Permanent Magnet Synchronous Motor for Hydrogen Recirculation Pumps","authors":"Ye Liu, Kang Ma, Zhuoran Zhang, Ziqiang Wei","doi":"10.1109/CEFC-LONG57069.2022.10107524","DOIUrl":"https://doi.org/10.1109/CEFC-LONG57069.2022.10107524","url":null,"abstract":"In this paper, a high-speed permanent magnet synchronous motor (PMSM) is designed and manufactured for hydrogen recirculation pumps (HRPs). The motor rotor is exposed to a high-pressure mixture of steam and hydrogen, which makes hydrogen embrittlement occur in permanent magnets (PMs). A protective coating process is necessary for the PMs in high-pressure hydrogen. However, in the process of sleeve interference installation, the protective coating of the PMs is easily damaged. This paper aims at the high-strength rotor optimization of high-speed PMSM for HRPs in terms of electromagnetic and mechanical performance. A new sleeve structure is proposed to strengthen the motor rotor considering the manufacturing process. The electromagnetic performance is optimized by adjusting the ratio of PMs with different magnetization directions with the different sleeve structures. A 25000r/min, 800W prototype has been manufactured and the effectiveness of analysis methods has been validated by the experimental results.","PeriodicalId":301005,"journal":{"name":"2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116000296","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}

引用次数: 0

Numerical modeling for induced eddy current calculation according to non-uniform mesh 基于非均匀网格的感应涡流计算数值模拟

2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG) Pub Date : 2022-10-01 DOI: 10.1109/CEFC-LONG57069.2022.10107519

Jaeho Ryu, I. Hahn

{"title":"Numerical modeling for induced eddy current calculation according to non-uniform mesh","authors":"Jaeho Ryu, I. Hahn","doi":"10.1109/CEFC-LONG57069.2022.10107519","DOIUrl":"https://doi.org/10.1109/CEFC-LONG57069.2022.10107519","url":null,"abstract":"The eddy current is one of the unavoidable disadvantages of electrical machines, and the derivation of its calculation and results is not easily achieved. In particular, the eddy current by the magnetic field induces the second magnetic field, and it results in the induced eddy current according to the excitation frequency. In order to study the induced eddy current, this paper uses the Finite Difference Method (FDM) as the numerical method by applying the finite-difference stencil of the curl, div, and discrete Laplace operator. This method is a simple, accurate technique for solving partial differential equations. However, the FDM requires a square mesh, and this requirement has limitations for solving complex shapes, and it increases computation time by making all shapes into fine meshes for calculating the induced eddy current density. To solve this problem, this paper proposes the FDM with a non-uniform mesh to evaluate the eddy current generated at the edges of a structure requiring a fine mesh, which also contributes to the reduction of computing cost. In addition, to ensure the continuity between different size meshes in the non-uniform mesh, the multi-linear interpolation is applied. The numerical results from the non-uniform mesh are compared with a commercial FEM tool and analytical method to demonstrate the accuracy of the results.","PeriodicalId":301005,"journal":{"name":"2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126485567","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}

引用次数: 0

Generalizable Deep Neural Network Based Multi-Material Hysteresis Modeling 基于广义深度神经网络的多材料迟滞建模

2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG) Pub Date : 2022-10-01 DOI: 10.1109/CEFC-LONG57069.2022.10107520

Arbaaz Khan, Saikou Ceesay, Yuan-Po Teng, Ruoli Wang, Haipeng Yue, D. Lowther

{"title":"Generalizable Deep Neural Network Based Multi-Material Hysteresis Modeling","authors":"Arbaaz Khan, Saikou Ceesay, Yuan-Po Teng, Ruoli Wang, Haipeng Yue, D. Lowther","doi":"10.1109/CEFC-LONG57069.2022.10107520","DOIUrl":"https://doi.org/10.1109/CEFC-LONG57069.2022.10107520","url":null,"abstract":"Over the past couple of decades, dependence on magnetic materials has increased tremendously. Since every kind of magnetic material behaves differently, it is very difficult to create a universal model of these behaviors. While there exist models and simulation tools that can represent the behavior of these materials, it may take days or even an entire week to compute when embedded in an analysis system, which is highly inefficient. With a good machine learning (ML) model, the computation time can be reduced by a significant amount with minimal error. To determine performance parameters such as the efficiency of an electrical machine, the hysteretic behavior of the material is crucial, and the representation used can impact the performance of a simulation tool. The goal of this work is to explore several, different deep learning (DL) network architectures which might both provide a generalized representation methodology for hysteresis problems and reduce the computational effort needed to include the impact of hysteresis in a finite element-based simulation over existing approaches.","PeriodicalId":301005,"journal":{"name":"2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131303825","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}

引用次数: 1

A Study of the Relationship between Acoustic Noise and Torque Pulsation in Permanent Magnet Synchronous Motors 永磁同步电动机噪声与转矩脉动关系的研究

2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG) Pub Date : 2022-10-01 DOI: 10.1109/CEFC-LONG57069.2022.10107526

Issah Ibrahim, D. Lowther

{"title":"A Study of the Relationship between Acoustic Noise and Torque Pulsation in Permanent Magnet Synchronous Motors","authors":"Issah Ibrahim, D. Lowther","doi":"10.1109/CEFC-LONG57069.2022.10107526","DOIUrl":"https://doi.org/10.1109/CEFC-LONG57069.2022.10107526","url":null,"abstract":"Acoustic noise and torque ripple are some of the undesirable performance indices in the design of electric motors. In fact, knowing the relationship between the two quantities can be very crucial, especially in the optimization process. For instance, where an increase in torque ripple is known to exacerbate the noise and vibrations, the two quantities could be considered as non-conflicting objectives. What this means is that minimizing one quantity could result in the optimization of the other without necessarily treating the two as mutually exclusive objectives. This paper, therefore, explores the correlation, if any exists, between torque ripple and the acoustic noise performance of the electric motor. The procedure involves exploring the design space of a 10 pole 12 slot surface-mounted permanent magnet synchronous motor to compute the torque ripple and the corresponding acoustic noise related to thousands of different motor configurations. Then, a statistical analysis is performed to establish the correlation strength between torque ripple and acoustic noise.","PeriodicalId":301005,"journal":{"name":"2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG)","volume":"35 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132570618","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}

引用次数: 0

Model order reduction techniques for linear differential-algebraic equations applied to semi-discretized eddy current model 线性微分代数方程的模型降阶技术在半离散涡流模型中的应用

2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG) Pub Date : 2022-10-01 DOI: 10.1109/CEFC-LONG57069.2022.10107548

Samuel Kvasnicka, K. Roppert, C. Riener, T. Bauernfeind, M. Kaltenbacher

引用次数: 0

Accelerated Frequency-domain Field Simulations of Linear Induction Motors 线性感应电机的加速频域场仿真

2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG) Pub Date : 2022-10-01 DOI: 10.1109/CEFC-LONG57069.2022.10107550

J. Smajic, M. Schneider, Raphael Baumeler, M. Schueller

引用次数: 0

Computation of Torque using different non-conforming Interface Techniques 不同非协调界面技术的转矩计算

2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG) Pub Date : 2022-10-01 DOI: 10.1109/CEFC-LONG57069.2022.10107522

A. Gschwentner, K. Reppert, M. Kaltenbacher

引用次数: 0

A Computationally Efficient Method for Modelling of Circulating Current Loss in Electrical Machines with Stranded Windings 一种计算有效的模拟绞合绕组电机环流损耗的方法

2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation-Long papers (CEFC-LONG) Pub Date : 2022-10-01 DOI: 10.1109/CEFC-LONG57069.2022.10107549

Yapeng Jiang, Yunjun Guo, Qingyu Yang, Junquan Chen, Kai Bo, Dong Wang

引用次数: 0