• Title/Summary/Keyword: Turbine blades

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Design for a circular arc shaped multi-blade windmill (원호형상의 멀티 블레이드를 가진 풍력터빈 설계)

  • Choo, Kwon Chul;Kim, Dong Keon;Yoon, Soon Hyun
    • 유체기계공업학회:학술대회논문집
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    • 2004.12a
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    • pp.390-395
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    • 2004
  • The characteristics of the circular arc shaped multi-blade windmil are investigatedl. The prototypical windmill was tested in the laboratory at wind tunnel speeds of 5.5, 9.4m/s. and the model windmill was also tested in the laboratory, The power and torque coefficients were studied as functions of the blade section, the aspect ratio for blade diameter and windmill radius(M = 0.3, 0.5, 0.7), the number of blades and finally the tip-speed ratio. The analysis of the experimental results for the model windmill showed that there is the highest revolutions per minute(R.P.M) at the circular arc shaped multi-blade windmill having the blade number 10, aspect ratio(M = 0.7). and the results for the prototypical windmill showed that the power coefficient increased to a maximum value and then decreased again with an increase in the tip speed ratio, while the torque coefficient decreased directly with an increase in the tip speed ratio Finally, the experimental results were compared with the Savonius blade. the maximum power coefficient for the arc shaped blade was greater than for the Savonius blade and occured at a lower tip speed ratio.

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A Study on the Thermal Hydraulic Analysis and B-Scan Inspection for LDIE Degradation of Carbon Steel Piping in a Nuclear Plant (원전 탄소강 배관의 액적충돌침식 손상에 대한 B-Scan 검사 및 수치해석적 분석)

  • Hwang, Kyeong Mo;Lee, Dae Young
    • Corrosion Science and Technology
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    • v.11 no.6
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    • pp.218-224
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    • 2012
  • Liquid droplet impingement erosion (LDIE) known to be generated in aircraft and turbine blades is recently appeared in nuclear piping. UT thickness measurements with both A-scan and B-scan UT inspection equipments were performed for a component estimated as susceptible to LDIE in feedwater heater vent system. The thickness data measured with B-Scan equipment were compared with those of A-Scan. Thermal hydraulic analysis based on ANSYS FLUENT code was performed to analyze the behavior of liquid droplets inside piping. The wall thinning rate and residual lifetime based on both existing Sanchez-Caldera equation and measuring data were also calculated to identify the applicability of the existing equation to the LDIE management of nuclear piping. Because Sanchez-Caldera equation do not consider the feature of magnetite formed inside piping, droplet size, colliding frequency, the development of new evaluation method urgently needs to manage the pipe wall thinning caused by LDIE.

Effect of Number of Rough Walls on Pressure Drop and Heat Transfer in Square Channel (사각채널에서 거친 벽면의 수가 압력강하와 열전달에 미치는 효과)

  • Bae Sung Taek;Kim Myoung Ho;Jin Yong Soo;Kim Sung Tae;Ahn Soo Wan
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.29 no.3 s.234
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    • pp.340-348
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    • 2005
  • Repeated ribs are used on heat exchange surfaces to promote turbulence and enhance convective heat transfer. Applications include fuel rods of gas-cooled nuclear reactors, inside cavities of turbine blades, and internal surfaces pipes used in heat exchangers. Despite the great number of literature papers, only few experimental data concern detailed distributions of friction factors and heat transfer coefficients in square channels varying the number of rough walls. This issue is tackled by investigating effects of different number of ribbed walls on heat transfer and friction characteristics in square channel. The rough wall have a $45{\circ}C$ inclined square rib. Uniform heat flux is maintained on whole inner heat transfer channel area. The heat transfer coefficient and friction factor values increase with increasing the number of rough walls.

High Temperature Fiber Fragmentation Characteristics of SiC Single-Fiber Composite With Titanium Matrices

  • Matikas, Theodore E.
    • Advanced Composite Materials
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    • v.17 no.1
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    • pp.75-87
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    • 2008
  • Aerospace structural applications, along with high performance marine and automotive applications, require high-strength efficiency, which can be achieved using metal matrix composites (MMCs). Rotating components, such as jet-engine blades and gas turbine parts, require materials that maximize strength efficiency and metallurgical stability at elevated temperatures. Titanium matrix composites (TMCs) are well suited in such applications, since they offer an enhanced resistance to temperature effects as well as corrosion resistance, in addition to optimum strength efficiency. The overall behavior of the composite system largly depends on the properties of the interface between fiber and matrix. Characterization of the fiber.matrix interface at operating temperatures is therefore essential for the developemt of these materials. The fiber fragmentation test shows good reproducibility of results in determining interface properties. This paper deals with the evaluation of fiber fragmentation characteristics in TMCs at elevated temperature and the results are compared with tests at ambient temperature. It was observed that tensile testing at $650^{\circ}C$ of single-fiber TMCs led to limited fiber fragmentation behavior. This indicates that the load transfer from the matrix to the fiber occurs due to interfacial friction, arising predominantly from mechanical clamping of the fiber by radial compressive residual and Poisson stresses. The present work also demonstrates that composite processing conditions can significantly affect the nature of the fiber.matrix interface and the resulting fragmentation of the fiber.

Numerical study of airfoil thickness effects on the performance of J-shaped straight blade vertical axis wind turbine

  • Zamani, Mahdi;Maghrebi, Mohammad Javad;Moshizi, Sajad A.
    • Wind and Structures
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    • v.22 no.5
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    • pp.595-616
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    • 2016
  • Providing high starting torque and efficiency simultaneously is a significant challenge for vertical axis wind turbines (VAWTs). In this paper, a new approach is studied in order to modify VAWTs performance and cogging torque. In this approach, J-shaped profiles are exploited in the structure of blades by means of eliminating the pressure side of airfoil from the maximum thickness toward the trailing edge. This new profile is a new type of VAWT airfoil using the lift and drag forces, thereby yielding a better performance at low TSRs. To simulate the fluid flow of the VAWT along with J-shaped profiles originated from NACA0018 and NACA0030, a two-dimensional computational analysis is conducted. The Reynolds Averaged Navier-Stokes (RANS) equations are closed using the two-equation Shear Stress Transport (SST) turbulence model. The main objective of the study is to investigate the effects of J-shaped straight blade thickness on the performance characteristics of VAWT. The results obtained indicate that opting for the higher thickness in J-shaped profiles for the blade sections leads the performance and cogging torque of VAWT to enhance dramatically.

A novel approach to damage localisation based on bispectral analysis and neural network

  • Civera, M.;Fragonara, L. Zanotti;Surace, C.
    • Smart Structures and Systems
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    • v.20 no.6
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    • pp.669-682
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    • 2017
  • The normalised version of bispectrum, the so-called bicoherence, has often proved a reliable method of damage detection on engineering applications. Indeed, higher-order spectral analysis (HOSA) has the advantage of being able to detect non-linearity in the structural dynamic response while being insensitive to ambient vibrations. Skewness in the response may be easily spotted and related to damage conditions, as the majority of common faults and cracks shows bilinear effects. The present study tries to extend the application of HOSA to damage localisation, resorting to a neural network based classification algorithm. In order to validate the approach, a non-linear finite element model of a 4-meters-long cantilever beam has been built. This model could be seen as a first generic concept of more complex structural systems, such as aircraft wings, wind turbine blades, etc. The main aim of the study is to train a Neural Network (NN) able to classify different damage locations, when fed with bispectra. These are computed using the dynamic response of the FE nonlinear model to random noise excitation.

Vibration of a rotary FG plate with consideration of thermal and Coriolis effects

  • Ghadiri, Majid;Shafiei, Navvab;Babaei, Ramin
    • Steel and Composite Structures
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    • v.25 no.2
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    • pp.197-207
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    • 2017
  • In this paper, Coriolis effect on vibration behavior of a rotating rectangular plate made of functionally graded (FG) materials under thermal loading has been investigated. The material properties of the FG plate are supposed to get changed in parallel with the thickness of the plate and the thermal properties of the material are assumed to be thermo-elastic. In this research, the effect of hub size, rotating speed and setting angle are considered. Governing equation of motion and the associated boundary conditions are obtained by Hamilton's principle. Generalized differential quadrature method (GDQM) is used to solve the governing differential equation with respect to cantilever boundary condition. The results were successfully verified with the published literatures. These results can be useful for designing rotary systems such as turbine blades. In this work, Coriolis and thermal effects are considered for the first time and GDQM method has been used in solving the equations of motion of a rotating FGM plate.

Molecular Dynamics Simulation Design and Implementation for Nozzles and Turbines (노즐과 터빈에 대한 분자동력학 시뮬레이션 설계 및 구현)

  • Kim, Su-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.1
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    • pp.147-154
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    • 2019
  • In this research, a molecular dynamics system was designed and developed to calculate trajectories of molecules in nozzles and turbin blades. The Lennard-Jones potential model was used to approximate the interaction between a pair of molecules and the Verlet integration is used as a numerical method to integrate Newton's equations of motion. To compute Lennard-Jones potential functions, for the number of molecules N, the computation complexity $O(N^2)$ for interactions of all pairs of molecules is reduced to O(N) by using cutoff radius $r_c$. This was implemented to save CPU times.

Parametric Study of Selective Laser Melting Using Ti-6Al-4V Powder Bed for Concurrent Control of Volumetric Density and Surface Roughness (LPBF 공정으로 제조된 Ti-6Al-4V 합금의 밀도와 표면 거칠기 제어를 위한 매개변수 연구)

  • Woo, Jeongmin;Kim, Ji-Yoon;Sohn, Yongho;Lee, Kee-Ahn
    • Journal of Powder Materials
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    • v.28 no.5
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    • pp.410-416
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    • 2021
  • Ti-6Al-4V alloy has a wide range of applications, ranging from turbine blades that require smooth surfaces for aerodynamic purposes to biomedical implants, where a certain surface roughness promotes biomedical compatibility. Therefore, it would be advantageous if the high volumetric density is maintained while controlling the surface roughness during the LPBF of Ti-6Al-4V. In this study, the volumetric energy density is varied by independently changing the laser power and scan speed to document the changes in the relative sample density and surface roughness. The results where the energy density is similar but the process parameters are different are compared. For comparable energy density but higher laser power and scan speed, the relative density remained similar at approximately 99%. However, the surface roughness varies, and the maximum increase rate is approximately 172%. To investigate the cause of the increased surface roughness, a nonlinear finite element heat transfer analysis is performed to compare the maximum temperature, cooling rate, and lifetime of the melt pool with different process parameters.

Study of an AI Model for Airfoil Parameterization and Aerodynamic Coefficient Prediction from Image Data (이미지 데이터를 이용한 익형 매개변수화 및 공력계수 예측을 위한 인공지능 모델 연구)

  • Seung Hun Lee;Bo Ra Kim;Jeong Hun Lee;Joon Young Kim;Min Yoon
    • Journal of the Korean Society of Visualization
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    • v.21 no.2
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    • pp.83-90
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    • 2023
  • The shape of an airfoil is a critical factor in determining aerodynamic characteristics such as lift and drag. Aerodynamic properties of an airfoil have a decisive impact on the performance of various engineering applications, including airplane wings and wind turbine blades. Therefore, it is essential to analyze the aerodynamic characteristics of airfoils. Various analytical tools such as experiments, computational fluid dynamics, and Xfoil are used to perform these analyses, but each tool has its limitation. In this study, airfoil parameterization, image recognition, and artificial intelligence are combined to overcome these limitations. Image and coordinate data are collected from the UIUC airfoil database. Airfoil parameterization is performed by recognizing images from image data to build a database for deep learning. Trained model can predict the aerodynamic characteristics not only of airfoil images but also of sketches. The mean absolute error of untrained data is 0.0091.