The Flow Field, Particle Distribution, and Determination of the Optimal Sampling Area around Aircraft

2021 ◽  
Vol 38 (4) ◽  
pp. 873-883
Author(s):  
Baoqing Wang ◽  
Zhenzhen Tang ◽  
Yinuo Li ◽  
Ningning Cai
Keyword(s):  
Wind Tunnel ◽  
Particle Distribution ◽  
Cfd Simulation ◽  
Central Line ◽  
Flow Speed ◽  
Optimal Sampling ◽  
Obvious Effect ◽  
Velocity Error ◽  
Sampling Zone ◽  
Safety Considerations

AbstractParticle trajectories around an aircraft will change during a flight; therefore, analyzing particle distribution around the aircraft is necessary to accurately sample aerosols. Both computational fluid dynamics (CFD) simulations and wind tunnel experiments are employed to optimize the sampling zones around an aircraft. The wind tunnel model is the Harbin Y-12, similar to the Twin Otter and King Air. The aircraft head is taken as the coordinate original point. The coordinate X is parallel to the wings, the coordinate Y is parallel to the fuselage, and the coordinate Z is perpendicular to the fuselage. The results show that the closer the distance to the central line for the X direction is, the greater the velocity error is. A suitable position for sampling is under the fuselage because of low turbulence, convenient connection pipelines, and safety considerations. The shadow and enhancement zone area thicknesses gradually increase with increasing particle size. The shadow zone thickness under the fuselage is approximately 20, 70, 110, and 350 mm for particle sizes of 1, 10, 20, and 50 μm, respectively. The greater the distance from the aircraft head for the Y direction is, the smaller the velocity error is. The attack angle has no obvious effect on the flow speed at different positions. The CFD simulation results are in basic agreement with the wind tunnel experiment results. The optimal sampling zone is approximately 2300–6500 mm for the Y direction for the aircraft head, 250–500 mm for the X direction for the aircraft head, and 490–600 mm for the Z direction under the fuselage of aircraft.

scholarly journals Accurate Measurements of Wall Shear Stress on a Plate with Elliptic Leading Edge

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2682 ◽  
Author(s):  
Guang-Hui Ding ◽  
Bing-He Ma ◽  
Jin-Jun Deng ◽  
Wei-Zheng Yuan ◽  
Kang Liu
Keyword(s):  
Shear Stress ◽  
Wind Tunnel ◽  
Wall Shear Stress ◽  
Leading Edge ◽  
Reynold Number ◽  
Micro Electro Mechanical System ◽  
Flow Speed ◽  
Silicon On Insulator ◽  
Micro Sensor ◽  
Wall Shear

A micro-floating element wall shear stress sensor with backside connections has been developed for accurate measurements of wall shear stress under the turbulent boundary layer. The micro-sensor was designed and fabricated on a 10.16 cm SOI (Silicon on Insulator) wafer by MEMS (Micro-Electro-Mechanical System) processing technology. Then, it was calibrated by a wind tunnel setup over a range of 0 Pa to 65 Pa. The measurements of wall shear stress on a smooth plate were carried out in a 0.6 m × 0.6 m transonic wind tunnel. Flow speed ranges from 0.4 Ma to 0.8 Ma, with a corresponding Reynold number of 1.05 × 106~1.55 × 106 at the micro-sensor location. Wall shear stress measured by the micro-sensor has a range of about 34 Pa to 93 Pa, which is consistent with theoretical values. For comparisons, a Preston tube was also used to measure wall shear stress at the same time. The results show that wall shear stress obtained by three methods (the micro-sensor, a Preston tube, and theoretical results) are well agreed with each other.

scholarly journals Sensitivity study of diffuser angle and brim height parameters for the design of 3 kW Diffuser Augmented Wind Turbine

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Michał Lipian ◽  
Maciej Karczewski ◽  
Krzysztof Olasek
Keyword(s):  
Numerical Model ◽  
Wind Tunnel ◽  
Wind Turbine ◽  
Sensitivity Study ◽  
Flow Speed ◽  
Diffuser Angle

AbstractThe Diffuser Augmented Wind Turbine (DAWT) is an innovative mean to increase the power harvested by wind turbine. By encompassing the rotor with a diffusershaped duct it is possible to increase the flow speed through the turbine by about 40-50%. The study presents the development of a numerical model and its validation by the experiments performed in the wind tunnel of the Institute of Turbomachinery, TUL. Then, the numerical model is used for the geometry sensitivity study to optimize the shape of a diffuser. The paper presents that the DAWT technology has the potential to even double the power outcome of wind turbine when compared to a bare rotor version.

Interaction Between Wind Loading and Japanese Slates: Effect on Vibration and Scattering

2008 ◽  
Author(s):  
Satoru Okamoto
Keyword(s):  
Wind Tunnel ◽  
High Speed ◽  
Natural Frequencies ◽  
Basic Mechanism ◽  
Video Camera ◽  
Flow Speed ◽  
Test Method ◽  
Wind Loading ◽  
Natural Mode ◽  
Set Up

A series of wind tunnel tests was conducted on the vibration and scattering behavior of full-sized model of roof tiles, which were used widely for roofings of Japanese wooden dwellings. This study has investigated the nature and source of the vibrating and scattering behavior of roof tiles with the aim of providing a better insight to the mechanism. The roof tiles were set up on the pitched roof in the downstream of the flow from the wind tunnel. The vibrations for the roof tiles were measured by the Laser Doppler Vibrometry and the accelerometer, and the practical natural frequencies of the roof tiles were analyzed by the impulse force hammer test method. The motions of the vibration and scattering were observed by the high-speed video camera. Based on the consideration on the results of the measurements, there is a basic mechanism which can lead to flow-induced vibrations of the roof tiles. This mechanism is similar to that of the so-called fluttering instability, which appears as the self-excited oscillation in the natural mode of the structure at the certain critical flow speed. The values of the frequencies for the oscillating relate to the values of natural frequencies of the vibration.

Investigation of aerodynamics of separator delivery from cavity

2020 ◽  
Vol 34 (14n16) ◽  
pp. 2040104
Author(s):  
Fei Xue ◽  
Yuchao Wang ◽  
Peng Bai
Keyword(s):  
Wind Tunnel ◽  
Angular Velocity ◽  
New Technology ◽  
Wind Tunnel Test ◽  
Ejection Velocity ◽  
Supersonic Wind Tunnel ◽  
Velocity Error ◽  
Technical Specifications ◽  
Ejection Mechanism ◽  
The Moment

The ejection test technology is studied in a sub-transonic supersonic wind tunnel using a single cylinder to provide ejection velocity. The angular velocity adjusting device of ejection mechanism is designed, which can adjust the ejection velocity and angular velocity of the model independently. When the ejection cylinder moves downward, the angular velocity adjusting mechanism works at the same time, so that the model has the preset ejection velocity and angular velocity at the moment of leaving the ejection frame. The ejection velocity error is less than 5%, the angular velocity error is less than 10%, and the repetition rate is more than 95%. The new technology has been verified by wind tunnel tests under complex aerodynamic conditions of sub-transonic supersonic and multi-body interference. All parameters have reached or surpassed the existing technical specifications. It has served for model tests many times and met the needs of wind tunnel test research on ejection of embedded weapons in aircraft.

scholarly journals Modeling Emission Flow Pattern of a Single Cruising Vehicle on Urban Streets with CFD Simulation and Wind Tunnel Validation

2020 ◽  
Vol 17 (12) ◽  
pp. 4557 ◽  
Author(s):  
Xueqing Shi ◽  
Daniel (Jian) Sun ◽  
Ying Zhang ◽  
Jing Xiong ◽  
Zhonghua Zhao
Keyword(s):  
Numerical Simulation ◽  
Wind Tunnel ◽  
Flow Pattern ◽  
Cfd Simulation ◽  
Wind Tunnel Experiment ◽  
Atmospheric Pollutants ◽  
Future Application ◽  
Dispersion Pattern ◽  
Strong Positive Correlation ◽  
Cfd Numerical Simulation

Transportation has become one of the primary sources of urban atmospheric pollutants and it causes severe diseases among city residents. This study focuses on assessing the pollutant dispersion pattern using computational fluid dynamics (CFD) numerical simulation, with the effect and results validated by the results from wind tunnel experiments. First, the wind tunnel experiment was carefully designed to preliminarily assess the flow pattern of vehicle emissions. Next, the spatiotemporal distribution of pollutant concentrations around the motor vehicle was modeled using a CFD numerical simulation. The pollutant concentration contours indicated that the diffusion process of carbon monoxide mainly occurred in the range of 0−2 m above the ground. Meanwhile, to verify the correctness of the CFD simulation, pressure distributions of seven selected points that were perpendicular along the midline of the vehicle surface were obtained from both the wind tunnel experiment and the CFD numerical simulation. The Pearson correlation coefficient between the numerical simulation and the wind tunnel measurement was 0.98, indicating a strong positive correlation. Therefore, the distribution trend of all pressure coefficients in the numerical simulation was considered to be consistent with those from the measurements. The findings of this study could shed light on the concentration distribution of platoon-based vehicles and the future application of CFD simulations to estimate the concentration of pollutants along urban street canyons.

CFD Simulation of Water Flow Mixing With Discrete Phase in a Pump

2013 ◽  
Author(s):  
Mikhail P. Strongin
Keyword(s):  
Particle Distribution ◽  
Cfd Simulation ◽  
Liquid Mixture ◽  
Industrial Applications ◽  
Discrete Phase Model ◽  
Water Transportation ◽  
Flow Mixing ◽  
Discrete Phase ◽  
The Subject ◽  
Pump Inlet

The mixing process is very common in many industrial applications. In some cases, two or more liquids or discrete phase (DP) set on the pump inlet. Liquid mixture is often occurred in sanitation and agriculture applications and mixture of water with DP (such as sand) are met in the case of water transportation from natural sources (rivers, wells, etc.). DP distribution in the centrifugal pump is the subject of this study. Full pump geometry is considered, due to unsymmetrical nature of volute of the pump. Turbulence k-ε closure model and Lagrangian discrete phase model has been used for most simulations. It was found that smaller particles trap inside the pump for longer time than larger ones. The distribution of the bigger diameter particles on the outlet is more asymmetrical in comparison with particles of smaller diameter. Relatively large areas with very small particle concentrations can be observed. Particle distribution on the outlet for lighter particles demonstrates more uniformity.

Jet Interaction in Cross Flow: Experimental and Numerical Model

2014 ◽  
Author(s):  
Celso Almeida ◽  
António A. Nunes ◽  
Senhorinha Teixeira ◽  
José Carlos Teixeira ◽  
Pedro Lobarinhas
Keyword(s):  
Wind Tunnel ◽  
Cross Section ◽  
Large Scale ◽  
Cfd Simulation ◽  
Free Stream ◽  
Velocity Ratio ◽  
Cross Flow ◽  
Stream Velocity ◽  
Entire Cross Section ◽  
Injection Point

Ventilation of wide spaces often requires a correct mixing of a jet in a cross flow. The present paper describes the application of Computational Fluid Dynamics (CFD) to model the interaction of a free stream jet with a cross flow, taking into account temperature gradients between the two streams. The model uses the finite volume technique for solving the conservation equations of fluid: mass, momentum and energy. Buoyancy is described by the Boussinesq approximation. The convergence of the solution required a high mesh refinement in the region of flow interaction. The data were compared with experimental results obtained in a subsonic wind tunnel. The experiments were carried out along the 4.0 m long test section of a 1.4×0.8 low speed wind tunnel. The jets were injected at 90° through orifices 25 mm in diameter drawn from a plenum either at the same or higher temperature the free stream. The jet velocity to the free stream velocity ratio was set at 8 for a single jet and between 4 and 16 for multiple injections. Data include velocity, pressure and temperature. The results show that the injection of relatively small cross-flow rates can cause the development of large regions of interaction with the main flux, accompanied by the creation of large scale flow structures, which contribute effectively to rapid mixing of the two streams. A CFD simulation of temperature showed that a jet 30 diameters downstream (30D) is an extension of the plume covering almost half of the cross section and a good homogeneity, then the extension of the plume 120D which covers almost the entire cross section and an optimum mixing occurs. The CFD simulation temperature of 13 jets showed that a toroidal extension of the plume and a good homogenization as early as 30D downstream of the injection point, occurs.

CFD Simulation and Wind Tunnel Investigation of a FPSO Offshore Helideck Turbulent Flow

2010 ◽  
Author(s):  
Daniel Fonseca de Carvalho e Silva ◽  
Paulo Roberto Pagot ◽  
Gilder Nader ◽  
Paulo Jose´ Saiz Jabardo
Keyword(s):  
Wind Tunnel ◽  
Particle Image ◽  
Cfd Simulation ◽  
Wind Flow ◽  
Cfd Simulations ◽  
Local Conditions ◽  
British Standard ◽  
Ansys Cfx ◽  
Tunnel Model ◽  
Image Velocimetry

The offshore helideck wind flow is usually subject to many interferences. The helideck airspace velocity and turbulence fields are important issues to promote safe helicopter take-off and landing operations. The current work brings some CFD results of a helideck wind flow 3D-field defined by the local conditions and constrained by the FPSO structure. A discussion about the chosen CFD boundary conditions is also presented. These CFD results are compared with the wind tunnel model-scale velocity and turbulence measurements. The wind tunnel measurements were performed with use of two different techniques: Particle Image Velocimetry (PIV) and Constant Temperature Anemometry (CTA). The British standard CAP437: Offshore Helideck Design Criteria is examined and suggestions are made herein. The CFD simulations were conducted using the ANSYS CFX software.

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