• Title/Summary/Keyword: wake prediction

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Investigation on Prediction Methods for a Rotor Averaged Inflow in Forward Flight (전진비행하는 회전익기 로터의 평균 유입류 예측기법 연구)

  • Hwang, Chang-Jeon;Chung, Ki-Hoon
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.35 no.2
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    • pp.124-129
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    • 2007
  • Prediction methods for a rotor averaged inflow in forward flight are investigated in this study. The investigated methods are Drees linear inflow model, Mangler & Squire model and free vortex wake(FVW) method. Predictions have been performed for a four-blade rotor operating at three different advance ratios i.e. 0.15, 0.23 and 0.30, at which experimental data are available. According to results, Drees model has a limitation for the inflow non-uniformity prediction due to an inherent linear characteristics. Mangler & Squire model has a reasonable accuracy except the disk edge region. KARI FVW method has very good accuracy and has better accuracy than the other FVW method especially in inboard region. However, there are some discrepancies in retreating side due to the dynamic stall effect and in near hub region due to the fuselage upwash effect.

Prediction of the Effective Wake of an Axisymmetric Body (축대칭 몰수체의 유효반류 추정)

  • Kim, Ki-Sup;Moon, Il-Sung;Ahn, Jong-Woo;Kim, Gun-Do;Park, Young-Ha;Lee, Chang-Sup
    • Journal of the Society of Naval Architects of Korea
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    • v.56 no.5
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    • pp.410-417
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    • 2019
  • An axisymmetric submerged body(L=5.6m, Diam=0.53m) is installed in Large Cavitation Tunnel (LCT) of KRISO and the nominal and total velocities without and with the propeller in operation, respectively, are measured using Laser Doppler Velocimeter (LDV). The flow field is nearly axisymmetric except the wake of the supporting strut, and is considered ideal to study the hydrodynamic interaction between the propeller and the oncoming axisymmetric sheared flow. The measured velocity data are then provided to compute the propeller-induced velocity to get the effective velocity, which is defined by subtracting the propeller-induced velocity from the total velocity. We adopted, in computing the induced velocity, two different methods including the vortex lattice method and the vortex tube actuator model to evaluate the resultant effective velocity distribution. To secure a fundamental base of experimental data necessary for the research on the effective wake, we measured the drag of the submerged body, the nominal and total velocity distributions at various axial locations for three different tunnel water speeds.

Development of a Time-Domain Simulation Tool for Offshore Wind Farms

  • Kim, Hyungyu;Kim, Kwansoo;Paek, Insu;Yoo, Neungsoo
    • Journal of Power Electronics
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    • v.15 no.4
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    • pp.1047-1053
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    • 2015
  • A time-domain simulation tool to predict the dynamic power output of wind turbines in an offshore wind farm was developed in this study. A wind turbine model consisting of first or second order transfer functions of various wind turbine elements was combined with the Ainslie's eddy viscosity wake model to construct the simulation tool. The wind turbine model also includes an aerodynamic model that is a look up table of power and thrust coefficients with respect to the tip speed ratio and pitch angle of the wind turbine obtained by a commercial multi-body dynamics simulation tool. The wake model includes algorithms of superposition of multiple wakes and propagation based on Taylor's frozen turbulence assumption. Torque and pitch control algorithms were implemented in the simulation tool to perform max-Cp and power regulation control of the wind turbines. The simulation tool calculates wind speeds in the two-dimensional domain of the wind farm at the hub height of the wind turbines and yields power outputs from individual wind turbines. The NREL 5MW reference wind turbine was targeted as a wind turbine to obtain parameters for the simulation. To validate the simulation tool, a Danish offshore wind farm with 80 wind turbines was modelled and used to predict the power from the wind farm. A comparison of the prediction with the measured values available in literature showed that the results from the simulation program were fairly close to the measured results in literature except when the wind turbines are congruent with the wind direction.

A Study on the Prediction of the Aerodynamic Characteristics of a Launch Vehicle Using CFD (전산유동해석에 의한 발사체 공력 특성 예측에 관한 연구)

  • Kim Younghoon;Ok Honam;Kim Insun
    • 한국전산유체공학회:학술대회논문집
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    • 2004.03a
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    • pp.17-22
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    • 2004
  • A space launch vehicle departs the ground in a low speed, soon reaches a transonic and a supersonic speed, and then flies in a hypersonic speed into the space. Therefore, the design of a launch vehicle should include the prediction of aerodynamic characteristics for all speed regimes, ranging from subsonic to hypersonic speed. Generally, Empirical and analytical methods and wind tunnel tests are used for the prediction of aerodynamic characteristics. This research presents considerable factors for aerodynamic analysis of a launch vehicle using CFD. This investigation was conducted to determine effects of wake over the base section on the aerodynamic characteristics of a launch vehicle and also performed to determine effects of the sting which exist to support wind tunnel test model.

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Fan Noise Prediction Method of Air Cooling System (공기 냉각 시스템의 홴 소음 예측 기법)

  • Lee, Chan;Kil, Hyun-Gwon
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.18 no.9
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    • pp.952-960
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    • 2008
  • Fan noise prediction method is presented for air conditioning, automobile and electronic cooling system applications where fan acts as an internal equipment having very complicated flow interaction with other various system components. The internal flow paths and distribution in the fan-applied systems such as computer or air conditioner are analyzed by using the FNM(flow network modeling). Fan noise prediction method comprises two models for the discrete frequency noise due to rotating steady aerodynamic lift and blade interaction and for the broadband noise due to turbulent boundary layer and wake vortex shedding. Based on the fan operation point predicted from the FNM analysis results and fan design parameters, the present far noise model predicts overall sound pressure level and spectrum. The predictions for the flow distribution, the fan operation and the noise level in air cooling system by the present method are well agreed with 3-D CFD and actual noise test results.

Prediction of Specific Noise Based on Internal Flow of Forward Curved Fan

  • Sasaki, Soichi;Hayashi, Hidechito;Hatakeyama, Makoto
    • International Journal of Fluid Machinery and Systems
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    • v.2 no.1
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    • pp.80-91
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    • 2009
  • In this study, a prediction theory for specific noise that is the overall characteristic of the fan has been proposed. This theory is based on total pressure prediction and broadband noise prediction. The specific noises of two forward curved fans with different number of blades were predicted. The flow around the impeller having 120 blades (MF120) was more biased at a certain positions than the impeller with 40 blades (MF40). An effective domain of the energy conversion of MF40 has extended overall than MF120. The total pressure was affected by the slip factor and pressure loss caused by the vortex flow. The suppression of a major pressure drop by the vortex flow and expansion of the effective domain for energy conversion contributed to an increase in the total pressure of MF40 at the design point. The position of maximum relative velocity was different for each fan. The relative velocity of MF120 was less than that of MF40 due to the deviation angle. The specific noise of MF120 was 2.7 dB less than that of MF40 due to the difference in internal flow. It has been quantitatively estimated that the deceleration in the relative velocity contributed to the improvement in the overall performance.

Powering Performance Prediction of Low-Speed Full Ships and Container Carriers Using Statistical Approach (통계적 접근 방법을 이용한 저속비대선 및 컨테이너선의 동력 성능 추정)

  • Kim, Yoo-Chul;Kim, Gun-Do;Kim, Myung-Soo;Hwang, Seung-Hyun;Kim, Kwang-Soo;Yeon, Sung-Mo;Lee, Young-Yeon
    • Journal of the Society of Naval Architects of Korea
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    • v.58 no.4
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    • pp.234-242
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    • 2021
  • In this study, we introduce the prediction of brake power for low-speed full ships and container carriers using the linear regression and a machine learning approach. The residual resistance coefficient, wake fraction coefficient, and thrust deduction factor are predicted by regression models using the main dimensions of ship and propeller. The brake power of a ship can be calculated by these coefficients according to the 1978 ITTC performance prediction method. The mean absolute error of the predicted power was under 7%. As a result of several validation cases, it was confirmed that the machine learning model showed slightly better results than linear regression.

Study on Performance Prediction of Industrial Axial Flow Fan with Adjustable Pitch Blades (산업용 조정 피치형 축류송풍기의 성능예측에 관한 연구)

  • Koo, Jae-In;Kim, Chang-Soo;Chung, Jin-Teak;Kim, Kwang-Ho
    • 유체기계공업학회:학술대회논문집
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    • 2001.11a
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    • pp.30-34
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    • 2001
  • In the present study, we studied the method of predicting the on-design and on-design point performance of axial flow fan with adjustable pitch blades. With the change of stagger angle of axial flow fan with adjustable pitch blade, flow rate and pressure can be changed. Because of this merit adjustable pitch fans are used in many industrial facility. When changing stagger angle or estimating the performance at a wide range of off-design condition, incidence angle changes greatly as the flow rate changes. Therefore, the deviation angle at the blade exit is estimated by the correlation considering the effects of blade design, incidence angle variation. In the loss model, we used known pressure loss model for blade boundary layer and wake, secondary flow, endwall boundary layer and tip leakage flow. The results of modified deviation angle model and experiment were compared for the usefulness of the modified model.

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A Fundamental Study on the Power Prediction Method of Ship by using the Experiment of Small Model (소형 모형선을 이용한 실선마력추정에 대한 연구)

  • Ha, Yoon-Jin;Lee, Young-Gill
    • Journal of the Society of Naval Architects of Korea
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    • v.51 no.3
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    • pp.231-238
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    • 2014
  • In this study, the self-propulsion tests are performed in INHA towing tank. And the effective wake characteristics of the KVLCC2 and the KCS models are compared by the experimental results. The form factor is independent of Reynolds number. To estimate the hydrodynamic performance of a full scale ship, the form factor is determined to consider attendant on Reynolds number. In this research, the power predictions are carried out considering the form factor difference of model and full scale ship. The results of this research could be used as one of the fundamental data to the powering performance prediction.

Software Development for Fan Flow and Noise

  • 이덕주;이성규;전원주;이진욱;김영남
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.05a
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    • pp.1064-1067
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    • 2004
  • The aim of this paper is to develop a GUI based software that can predict the flow and noise generated by fan. This user-friendly software is designed for the usual fan user in the various industrial companies as well as researcher related to rotating blade:;. Software consists of 3-modules; (1) concept design and performance prediction module using simple and fast methods, (2) preliminary design and flow/noise prediction module using free-wake potential solver and acoustic analogy and (3) detail design module using accurate CFD-software and acoustic formula. Some validations and applications in various fields are described.

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