• Title/Summary/Keyword: Radial-Type Turbine

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Cogging Torque Reduction in AFPM Generator Design for Small Wind Turbines (소형 풍력발전기용 AFPM 발전기 코깅토크 저감 설계)

  • Chung, Dae-Won
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.12
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    • pp.1820-1827
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    • 2012
  • This paper is to present a new method of cogging torque reduction for axial flux PM machines of multiple rotor surface mounted magnets. In order to start softly and to run a power generator even the case of weak wind power, reduction of cogging torque is one of the most important issues for a small wind turbine, Cogging torque is an inherent characteristic of PM machines and is caused by the geometry shape of the machine. Several methods have been already applied for reducing the cogging torque of conventional radial flux PM machines. Even though some of these techniques can be also applied to axial flux machines, manufacturing cost is especially higher due to the unique construction of the axial flux machine stator. Consequently, a simpler and low cost method is proposed to apply on axial flux PM machines. This new method is actually applied to a generator of 1.0kW, 16-poles axial flux surface magnet disc type machine with double-rotor-single-stator for small wind turbine. Design optimization of the adjacent magnet pole-arc which results in minimum cogging torque as well as assessment of the effect on the maximum available torque using 3D Finite Element Analysis (FEA) is investigated in this design. Although the design improvement is intended for small wind turbines, it is also applicable to larger wind turbines.

Design of 3MW class outer rotor type PMSG for wind turbine (풍력 발전용 3MW급 외전형 영구자석 동기발전기 설계)

  • Kim, Taehun;Kim, Geohwa;Kim, Dongeun;Chung, Chinhwa;Park, H.C.
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.11a
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    • pp.179.1-179.1
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    • 2010
  • 포항공과대학교 풍력특성화대학원에서는 3MW급 외전형 영구자석 동기발전기 설계를 진행하고 있다. 여기서 외전형이란 RFPM 발전기에서 회전자가 바깥에서 회전하는 형태로 기존의 RFPM 발전기와 비교하여 같은 공극직경에 더 많은 자석을 채택할 수 있고, 회전자와 터빈 블레이드를 직접 연결이 가능하다. 또한, 회전자를 외부에 노출 시킬 수 있으므로 냉각에 유리한 면이 있다. 설계 변수 중 출력과 회전수를 고정시키고 각 극수와 공극 직경, 전압을 변화함에 따른 전기적 특성을 비교하고, 그 중 최적의 모델을 선택한다. 선택된 모델의 전자기장 해석, 손실 계산, 열분석을 수행한다. 본 논문에서는 각 경우에 따른 결과를 비교하고 최적 모델에 대한 해석 결과에 대해 요약한다.

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The Combustion Characteristics at Primary Zone of Lean Premixed low NOx Combustor (저 NOx 희박연소기의 주연소영역에서의 연소특성 연구)

  • Lim, A.H.;Ahn, K.Y.;Kim, H.S.;Kim, Y.M.
    • Proceedings of the KSME Conference
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    • 2003.11a
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    • pp.314-319
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    • 2003
  • The concept of lean-premixed combustion in gas turbine combustor operation has become a standard in recent years as an effective means to meet stringent enviromental standards on NOx emissions. The combustion characteristics of 75 kW class lean premixed combustor were investigated at the conditions of high temperature and ambient pressure. The exit temperature and emissions of CO and NOx were measured at the center of exit plane. The high temperature air of $550K{\sim}650K$ was supplied through air preheater. As expected, experimental results indicate that NOx emission was increased and CO emission was decreased by increasing inlet air temperature. But CO emission measured at the center of exit plane was increased because of the non-uniform radial direction profiles. The Semi-Empirical Correlation method was applied to obtain the design point emissions of NOx and CO. Also the flame temperature, CO and NOx emissions were measured along the centerline of liner at 650K inlet air temperature to determine the position of dilution holes.

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Experimental Study of Thermo-Flow Field in a Model Gas Turbine Combustor with Various Swirl Conditions (스월변화에 따른 모형 가스터빈 연소기의 열유동장의 실험적 연구)

  • Ryu, Song-Youl;Koo, Ja-Ye
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.30 no.4
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    • pp.70-76
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    • 2002
  • Characteristics of kerosine spray combustion were investigated at various swirl condition. PDPA(Phase Doppler Particle Analysis) was used to measure the droplet sizes and velocities. R-type(Platinum vs. Platinum-13%rhodium) thermocouple was used to measure the temperature of combustion flow field inside model combustor. A visualization of spray and flame was performed with still camera. As swirl number increases due to increase of swirl vane angle, the spray and the flame were developed to radial direction rapidly. When swirl number is small, the configuration of flame is cone type, but swirl number is large, the configuration of flame is cylindrical type due to enhanced mixing by the transport of swirl momentum.

Design of Data-centroid Radial Basis Function Neural Network with Extended Polynomial Type and Its Optimization (데이터 중심 다항식 확장형 RBF 신경회로망의 설계 및 최적화)

  • Oh, Sung-Kwun;Kim, Young-Hoon;Park, Ho-Sung;Kim, Jeong-Tae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.3
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    • pp.639-647
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    • 2011
  • In this paper, we introduce a design methodology of data-centroid Radial Basis Function neural networks with extended polynomial function. The two underlying design mechanisms of such networks involve K-means clustering method and Particle Swarm Optimization(PSO). The proposed algorithm is based on K-means clustering method for efficient processing of data and the optimization of model was carried out using PSO. In this paper, as the connection weight of RBF neural networks, we are able to use four types of polynomials such as simplified, linear, quadratic, and modified quadratic. Using K-means clustering, the center values of Gaussian function as activation function are selected. And the PSO-based RBF neural networks results in a structurally optimized structure and comes with a higher level of flexibility than the one encountered in the conventional RBF neural networks. The PSO-based design procedure being applied at each node of RBF neural networks leads to the selection of preferred parameters with specific local characteristics (such as the number of input variables, a specific set of input variables, and the distribution constant value in activation function) available within the RBF neural networks. To evaluate the performance of the proposed data-centroid RBF neural network with extended polynomial function, the model is experimented with using the nonlinear process data(2-Dimensional synthetic data and Mackey-Glass time series process data) and the Machine Learning dataset(NOx emission process data in gas turbine plant, Automobile Miles per Gallon(MPG) data, and Boston housing data). For the characteristic analysis of the given entire dataset with non-linearity as well as the efficient construction and evaluation of the dynamic network model, the partition of the given entire dataset distinguishes between two cases of Division I(training dataset and testing dataset) and Division II(training dataset, validation dataset, and testing dataset). A comparative analysis shows that the proposed RBF neural networks produces model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

Combustion Test and Performance Analysis of Fuel Rich Gas Generator (농후 연소 가스발생기의 연소실험과 성능해석)

  • Kwon, Sun-Tak;Lee, Chang-Jin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.33 no.2
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    • pp.92-97
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    • 2005
  • A series of combustion test was done to verify the optimization result of a gas generator for a 10 ton thrust liquid rocket engine. An injector element is F-O-F impinging type injector and the test was conducted with kerosene/LOX propellants. Test results of combustion temperature and pressure show a very good agreement with optimal design result and verify that the design method was properly established. And turbulence ring revealed its effectiveness in enhancing combustion gas mixing and temperature difference in the radial direction showed only less than 15K. Also turbulence ring induced only 3.2% pressure loss in the combustion chamber, which is far less than conventional level observed in a gas turbine engine. Axial temperature distribution also shows that turbulence ring could effectively reduce about 10% or more in gas generator length if its location is properly selected.

Structural Design and Analysis of a Hydraulic Coiling Arm for Offshore Wind-turbine Submarine Cable (해상풍력 해저케이블 하역용 유압식 코일링 암 구조설계 및 해석)

  • Kim, Myung-Hwan;Kim, Dong-Hyun;Oh, Min-Woo
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.26 no.1
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    • pp.1-7
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    • 2013
  • Structural design and analysis of a coiling arm unloading machine for submarine cable have been originally conducted in this study. Three-dimensional CAD modeling process is practically applied for the structural design in detail. Finite element method(FEM) and multi-body dynamics(MBD) analyses are also used to verify the safety and required motions of the designed coiling arm structure. The effective moving functions of the designed coiling arm with respect to rotational and radial motions are achieved by adopting bearing-roller mechanical parts and hydraulic system. Critical design loading conditions due to its self weight, carrying cables, offshore wind, and hydraulic system over operation conditions are considered for the present structural analyses. In addition, possible inclined ground conditions for the installation of the designed coiling arm are also considered to verify overturn stability. The present hydraulic type coiling arm system is originally designed and developed in this study. The developed coiling arm has been installed at a harbor, successfully tested its operational functions, and finished practical unloading mission of the submarine cable.