• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.820-821
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• 2008

본 논문은 FEA 기법을 이용하여 40kW급 HEV용 Traction 모터의 설계 및 고효율화를 위한 회전자 영구자석의 Eddy Current loss 저감 방안에 대한 연구를 수행하였다. 먼저 FEA 기법을 이용하여 40kW급 HEV용 Traction 모터 설계 및 특성해석을 수행하여 FEA 해석기법의 타당성을 확보하였다. 또한 Traction 모터의 손실 저감을 위해 magnet부분의 eddy current loss 저감방안에 대해 논하였으며, FEA 기법을 이용하여 회전자 magnet이 Solid, 1/2, 1/4, 1/14 segments로 나눈 타입에 따른 결과를 비교 분석하였다. 그 결과 magnet형태를 기존의 Solid 타입에서 14segments 타입으로 분할 시, magnet 내부의 current path가 줄어들어 eddy current loss가 가장 많이 저감됨을 알 수 있었으며, 이를 통해 HEV용 traction 모터의 고효율, 고성능화 설계방안을 도출 할 수 있었다.

• Journal of the Microelectronics and Packaging Society
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• v.7 no.3
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• pp.27-29
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• 2000

For the DLC-coaled Si-tip FEA, the modified lift off-process, by which DLC coated on both gate electrode surface and gate insulator in the gate aperture could be removed, was proposed. In the process, the Al sacrificial layer was deposited on a tilted and rotated substrate by an e-beam evaporation, and DLC film was coated on the substrate by PA-CVD method. Afterward the DLC was perfectly removed except the DLC films coated on emitter tips by etch-out of Al sacrificial layer. Current-voltage curves and current fluctuation of the DLC-coated Si-tip FEA showed that the proposed lift-off process played an important role in decreasing gate leakage current and stabilizing omission current.

• Journal of Electrical Engineering and Technology
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• v.13 no.4
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• pp.1549-1557
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• 2018

Optimizing the design of large-scale electric machines based on nonlinear finite element analysis (FEA) requires longer computation time than other applications of FEA, mainly due to the huge size of the machines. This paper addresses a new region decision method (RDM) with mesh adaptive direct search (MADS) for the optimal design of wind generators in order to reduce the computation time. The validity of the proposed algorithm is evaluated using Rastrigin and Goldstein-Price benchmark function. Moreover, the algorithm is employed for the optimal design of a 5.6MW interior permanent magnet synchronous generator to minimize the torque ripple. Additionally, mechanical stress analysis as well as electromagnetic field analysis have been implemented to prevent breakdown caused by large centrifugal forces of the modified design.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.997-998
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• 2007

This paper deals with analytical solution concerning the image method using the magnetic charge instead of 3D FEA(finite element analysis) in the slotless single air-gap motor. The theory of analytical method and the design procedures are introduced. The reliability and validity of proposed analytical solution are verified through the comparison with the results of commercial 3D FE software. In addition, calculation time between proposed analytical solution and 3D FEA is compared. Finally, characteristics, such as Back-EMF and phase resistance, between calculated and experimental results are compared. From the verification with 3D FEA and experimental results, it is proved that presented analytical method provided very effective and precise results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.5
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• pp.805-811
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• 2018

Recently, Format-Preserving-Encryption (FEA) was suggested by the National Security Research institute (NSR) as an encryption method while maintaining the format without a distortion to the intended information to be encrypted. In this paper, we propose a scheme to solve conventional cyber security problems by using FEA scheme. First, we present the method to encrypt signatures and extensions with FEA in order to effectively defend against Ransomeware attacks. This technique can mitigate the exposure to the Ransomeware by encrypting the minimum information. Second, in order to reduce the secret information for Steganography, we introduce a new way to minimize the secret information with FEA. Finally, we compare the operation speed by encryption with FEA and Lightweight Encryption Algorithm (LEA), furthermore when we optimize FEA we want to compare with the performance improvement accompanying with it.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.3
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• pp.223-233
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• 2011

A ceramic monolithic catalyst is a honeycomb structure that consists of two layers. The honeycomb structure is regarded as a continuum in structure and heat-flow analysis. The equivalent mechanical properties of the honeycomb structure were determined by performing finite element analysis (FEA) for a test specimen. Bending strength experiments and FEA of the test specimen used in ASTM C1674-08 standard test were performed individually. The bonding coefficient between the cordierite ceramic layer and the washcoat layer was almost zero. The FEA test specimen was modeled on the basis of the bonding coefficient. The elastic modulus, Poisson's ratio, and the thermal properties of the ceramic monolithic substrate were determined by performing the FEA of the test specimen.

• Journal of Electrical Engineering and Technology
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• v.10 no.1
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• pp.188-194
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• 2015

This paper proposes a generalized regression neural network (GRNN) based algorithm for data interpolation and design optimization of brushless dc (BLDC) motor. The procedure makes use of magnet length, stator slot opening and air gap length as design variables. Cogging torque and average torque are treated as performance indices. The optimal design necessitates mitigating the cogging torque and maximizing the average torque by varying design variables. The data set for interpolation and ensuing design optimisation using GRNN is obtained by modeling a standard BLDC motor using finite element analysis (FEA) tool MagNet 7.1.1. The performance indices of the standard motor obtained using FEA are validated with an experimental model and an analytical method. The optimal design is authenticated using particle swarm optimization (PSO) algorithm and the performance indices of the optimal design obtained using GRNN is validated using FEA. The results indicate the suitability of GRNN as an interpolation and design optimization tool for a BLDC motor.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2001.10a
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• pp.129-132
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• 2001

Fiber waviness is one of manufacturing defects encountered frequently in thick composite structures. It affects significantly on the behavior as well as strength of thick composites. The effects of fiber waviness on tensile/compressive nonlinear elastic behavior and strength of thick composite with fiber waviness are studied theoretically and experimentally. FEA(Finite Element Analysis) models are proposed to predict tensile/compressive nonlinear behavior and strength of thick composites. In the FEA models, both material and geometric nonlinearities were incorporated into the model using energy density, iterative mapping and incremental method. Also Tsai-Wu criteria was adopted to predict the strength of thick composites with fiber waviness. Tensile and compressive tests were conducted on the specimens with uniform fiber waviness. It was observed that the degree of fiber waviness in composites significantly affected the nonlinear behavior and strength of the composites

• Journal of IKEEE
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• v.13 no.3
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• pp.24-31
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• 2009

The computation time of FEA(finite element analysis) for one model may range from a few seconds up to several hours according to the complexity of the simulated model. If these FEA is used to calculate the objective and the constraint functions during the optimal solution search, it causes very excessive execution time. To resolve this problem, the distributed computing technique using internet web service is proposed in this paper. And the dynamic load balancing mechanisms are established to advance the performance of distributed computing. To verify its validity, this method is applied to a traditional mathematical optimization problem. And the proposed FEA-based optimization using internet distributed computing is applied to the optimal design of the permanent magnet dc motor(PMDCM) for automotive application.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.7
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• pp.39-44
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• 2012

This paper deals with the characteristic analysis of small power brushless DC (BLDC) motor considering the rotor magnet overhang flux. In the driving characteristics analysis using 2D FEA (Finite Element Analysis), the rotor magnet overhang effect can't be considered and it should be neglected. To consider rotor magnet overhang effect, 3D FEA should be required. But 3D FEA requires very long calculation time even though the high specification computer is used. In this paper, the 3D electromagnetic model of BLDC motor is approximated as the 2D electromagnetic model considering overhang effect. In this paper, the concept of overhang coefficient is applied, and the coefficient according to load torque variance is deduced.