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      • 신경망모델 기반 다목적 유전자 알고리즘을 적용한 대용량 직접 구동형 풍력발전기 형상 최적화

        노윤철(Yun Cheol Ro),안대균(Dae Gyun Ahn),이광기(Kwang Ki Lee),한승호(Seung Ho Han) 대한기계학회 2013 대한기계학회 춘추학술대회 Vol.2013 No.12

        Among the direct-drive generator, the AFPM(Axial Flux Permanent Magnet)-typed machine has been attractive due to its higher torque effect per unit volume and higher power density in comparison with others such as the RFPM(Radial Flux Permanent Magnet)-typed machine. Since the AFPM-typed machine has been used mainly to smallscaled generator, the characteristics of structural behaviors such as stiffness and robustness should be investigated carefully when this machine will be applied to a generator for large-scaled wind turbine. In this study, optimization of the direct-drive generator for 2.5MW wind turbine using the AFPM-typed machine was proposed by using neural network model based MOGA(Multi-Objective Genetic Algorithm). An electro-magnetic and structural interaction analysis was carried out to find optimal design variables which meet the requirements of the structural stiffness such as limitation of air-gap clearance and global mechanical behavior by neural network model generated from orthogonal array. The structural weight and stress of the proposed model compared to initial generator could be reduced by 13.3% and 13.78% in a condition satisfying the constraint requirement of deformation.

      • [논문 or 기술논문 택일] 대용량 직접구동형 발전기의 기계적 거동 특성에 관한 연구

        노윤철(Yun Cheol Ro),안대균(Dae Gyun Ahn),한승호(Seung Ho Han) 대한기계학회 2013 대한기계학회 춘추학술대회 Vol.2013 No.5

        AFPM(Axial Flux Permanent Magnet)-typed machine for a large-scaled direct-drive generator of offshore wind turbines has been attractive due to its higher torque effect per unit volume and higher power density in comparison with other such as the RFPM(Radial Flux Permanent Magnet)-typed machine. When this machine will be applied to an offshore wind turbine, the stiffness and robustness of the supported structures should be investigated carefully due to its high electro-magnetic forces which cause a significant deformation of main members. This deformation raises an unexpected change of air-gap clearance which can disturb seriously the power production. The light weight design is also at issue for a higher efficiency of the power production. In this study, a topology model of the direct-drive generator for 2.5MW wind turbine using the AFPM-typed machine was proposed, and evaluation of mechanical behaviors was carried out by electro-magnetic mechanical coupling analysis. Results showed that the weigh of the proposed model could be reduced by 20% in comparison with the conventional generator at condition satisfying the requirements of the structural behaviors.

      • [논문 or 기술논문 택일] 대용량 직접구동형 발전기의 열전달 특성에 관한 연구

        안대균(Dae Gyun Ahn),노윤철(Yun Cheol Ro),한승호(Seung Ho Han) 대한기계학회 2013 대한기계학회 춘추학술대회 Vol.2013 No.5

        Many wind energy industries have invested in the development of a large-scaled direct-drive generator with high efficient power production, such as the axial flux permanent (AFPM) typed generator. The AFPM-typed generator, however, causes overheating on the stator’s surface, so that a proper cooling system is needed. Although a conventional convective-typed cooling system has been developed, there were lots of difficulties for its application to the large-scaled direct-drive generator with capacity exceeding 2.5MW, because the capacity of the devices such as air blower for decrease of high temperature on the stator’s surface should be also grown up. In this study, a new conductive-type cooling system for the 2.5MW AFPM-typed generator was proposed, and the heat transfer characteristics were investigated. In addition, the efficiency of the conductive-type cooling system was estimated in comparison with that of the conventional convective-type cooling system.

      • KCI등재

        반응표면모델과 공정능력지수를 적용한 로워암 설계변수의 공차최적화

        이광기(Kwang Ki Lee),노윤철(Yun Cheol Ro),한승호(Seung Ho Han) (사)한국CDE학회 2013 한국CDE학회 논문집 Vol.18 No.5

        In the lower arm design process, a tolerance optimization of the variance of design variables should be preceded before manufacturing process, since it is very cost-effective compared to a strict management of tolerance of products. In this study, a design of experiment (DOE) based on response surface model (RSM) was carried out to find optimized design variables of the lower arm, which can meet a given requirement of probability constraint for the process capability index (Cpk) of the weight and maximum stress. Then, the design space was explored by using the central composite design method, in which the 2nd order Taylor expansion was applied to predict a standard deviation of the responses. The optimal solutions satisfying the probability constraint of the Cpk were found by considering both of the mean value and the standard deviation of the design variables.

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