scholarly journals Numerical and experimental transition results evaluation for a morphing wing and aileron system

2018 ◽  
Vol 122 (1251) ◽  
pp. 747-784 ◽  
Author(s):  
R.M. Botez ◽  
A. Koreanschi ◽  
O.S. Gabor ◽  
Y. Tondji ◽  
M. Guezguez ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Wind Tunnel ◽  
Laminar Flow ◽  
Experimental Tests ◽  
Aerodynamic Performances ◽  
Experimental Transition ◽  
Wing Skin ◽  
Wing Tip ◽  
Numerical Optimisation ◽  
Coefficient Reduction

ABSTRACTA new wing-tip concept with morphing upper surface and interchangeable conventional and morphing ailerons was designed, manufactured, bench and wind-tunnel tested. The development of this wing-tip model was performed in the frame of an international CRIAQ project, and the purpose was to demonstrate the wing upper surface and aileron morphing capabilities in improving the wing-tip aerodynamic performances. During numerical optimisation with ‘in-house’ genetic algorithm software, and during wind-tunnel experimental tests, it was demonstrated that the air-flow laminarity over the wing skin was promoted, and the laminar flow was extended with up to 9% of the chord. Drag coefficient reduction of up to 9% was obtained when the morphing aileron was introduced.

Aerodynamics of Cyclist Posture, Bicycle and Helmet Characteristics in Time Trial Stage

2012 ◽  
Vol 28 (3) ◽  
pp. 317-323 ◽  
Author(s):  
Vincent Chabroux ◽  
Caroline Barelle ◽  
Daniel Favier
Keyword(s):  
Statistical Analysis ◽  
Wind Tunnel ◽  
Drag Coefficient ◽  
Drag Force ◽  
Time Trial ◽  
Frontal Area ◽  
Significant Gain ◽  
Upper Limbs ◽  
Force Coefficient ◽  
Coefficient Reduction

The present work is focused on the aerodynamic study of different parameters, including both the posture of a cyclist’s upper limbs and the saddle position, in time trial (TT) stages. The aerodynamic influence of a TT helmet large visor is also quantified as a function of the helmet inclination. Experiments conducted in a wind tunnel on nine professional cyclists provided drag force and frontal area measurements to determine the drag force coefficient. Data statistical analysis clearly shows that the hands positioning on shifters and the elbows joined together are significantly reducing the cyclist drag force. Concerning the saddle position, the drag force is shown to be significantly increased (about 3%) when the saddle is raised. The usual helmet inclination appears to be the inclination value minimizing the drag force. Moreover, the addition of a large visor on the helmet is shown to provide a drag coefficient reduction as a function of the helmet inclination. Present results indicate that variations in the TT cyclist posture, the saddle position and the helmet visor can produce a significant gain in time (up to 2.2%) during stages.

scholarly journals Numerical optimisation of a small-scale wind turbine through the use of surrogate modelling

2017 ◽  
Vol 28 (3) ◽  
pp. 79 ◽  
Author(s):  
Gareth Erfort ◽  
Theodor Willem Von Backström ◽  
Gerhard Venter
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbine ◽  
Surrogate Model ◽  
Turbine Blades ◽  
Small Scale ◽  
Final Solution ◽  
B Splines ◽  
Wind Speeds ◽  
Wide Range ◽  
Numerical Optimisation

Wind conditions in South Africa are suitable for small-scale wind turbines, with wind speeds below 7 m.s−1. This investigation is about a methodology to optimise a full wind turbine using a surrogate model. A previously optimised turbine was further optimised over a range of wind speeds in terms of a new parameterisation methodology for the aerodynamic profile of the turbine blades, using non-uniform rational B-splines to encompass a wide range of possible shapes. The optimisation process used a genetic algorithm to evaluate an input vector of 61 variables, which fully described the geometry, wind conditions and rotational speed of the turbine. The optimal performance was assessed according to a weighted coefficient of power, which rated the turbine blade’s ability to extract power from the available wind stream. This methodology was validated using XFOIL to assess the final solution. The results showed that the surrogate model was successful in providing an optimised solution and, with further refinement, could increase the coefficient of power obtained.

Application of Blow-off Wind Tunnel Control Based on Genetic Algorithm Optimized BP-Neural Network PID Neural Network

2013 ◽  
Vol 310 ◽  
pp. 557-559 ◽  
Author(s):  
Li Ji ◽  
Xiao Fei Lian
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Wind Tunnel ◽  
Bp Neural Network ◽  
Control Method ◽  
Network Control ◽  
Operating Conditions ◽  
Algorithm Optimization ◽  
Large Delay ◽  
Neural Network Pid

For a blow-off tunnel running, there is the large delay and lag issues. We build a mathematical model of the wind tunnel Mach number control by the test modeling method, then analyse the pros and cons of various control methods based on BP neural network control algorithm. Put forward genetic algorithm optimization neural network adaptive control method to solve the large inertia of the wind tunnel system, and large delay. A large number of simulation studies, run a variety of operating conditions for the wind tunnel simulation proved that the improved adaptive neural network PID control method is reasonable and effective.

scholarly journals Fabrication and Hypersonic Wind Tunnel Validation of a MEMS Skin Friction Sensor Based on Visual Alignment Technology

Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3803
Author(s):  
Xiong Wang ◽  
Nantian Wang ◽  
Xiaobin Xu ◽  
Tao Zhu ◽  
Yang Gao
Keyword(s):  
Wind Tunnel ◽  
Laminar Flow ◽  
Turbulent Flow ◽  
Skin Friction ◽  
Flow Conditions ◽  
Friction Coefficients ◽  
Hypersonic Wind Tunnel ◽  
Laminar Flow Conditions ◽  
Turbulent Flow Conditions ◽  
Better Than

MEMS-based skin friction sensors are used to measure and validate skin friction and its distribution, and their advantages of small volume, high reliability, and low cost make them very important for vehicle design. Aiming at addressing the accuracy problem of skin friction measurements induced by existing errors of sensor fabrication and assembly, a novel fabrication technology based on visual alignment is presented. Sensor optimization, precise fabrication of key parts, micro-assembly based on visual alignment, prototype fabrication, static calibration and validation in a hypersonic wind tunnel are implemented. The fabrication and assembly precision of the sensor prototypes achieve the desired effect. The results indicate that the sensor prototypes have the characteristics of fast response, good stability and zero-return; the measurement ranges are 0–100 Pa, the resolution is 0.1 Pa, the repeatability accuracy and linearity are better than 1%, the repeatability accuracy in laminar flow conditions is better than 2% and it is almost 3% in turbulent flow conditions. The deviations between the measured skin friction coefficients and numerical solutions are almost 10% under turbulent flow conditions; whereas the deviations between the measured skin friction coefficients and the analytical values are large (even more than 100%) under laminar flow conditions. The error resources of direct skin friction measurement and their influence rules are systematically analyzed.

Aerodynamic and Transition Analysis of the Hybrid Laminar Flow ControlWing at ARA Wind Tunnel

2019 ◽  
Author(s):  
Andrea Ciarella ◽  
Simon Lawson ◽  
Peter Wong ◽  
Mohammed S. Mughal
Keyword(s):  
Wind Tunnel ◽  
Laminar Flow ◽  
Transition Analysis

Study of Aerodynamic Performances of a Biologically Inspired Micro-UAV by Wind Tunnel Testing

2019 ◽  
Author(s):  
Rafael Bardera-Mora ◽  
Adelaida Garcia-Magariño ◽  
Estela Barroso ◽  
Angel Rodriguez-Sevillano
Keyword(s):  
Wind Tunnel ◽  
Wind Tunnel Testing ◽  
Biologically Inspired ◽  
Aerodynamic Performances ◽  
Tunnel Testing

scholarly journals Design Optimization of Composite Curved Rod for Wind Tunnel Virtual Flight Test Based on Multi-island Genetic Algorithm

2020 ◽  
Vol 1624 ◽  
pp. 042027
Author(s):  
Peng Kong ◽  
Zhenzeng Lian ◽  
Miao He ◽  
Xiaoqiang Peng ◽  
Jin Song ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Wind Tunnel ◽  
Design Optimization ◽  
Flight Test ◽  
Curved Rod
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