2017
DOI: 10.1007/s40032-017-0382-x
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Airfoil Shape Optimization based on Surrogate Model

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Cited by 4 publications
(6 citation statements)
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“…The shape of the airfoil is the first parameter for the efficient aerodynamic design as it plays a major role in deciding the lift and drag [13,14]. Various airfoils are currently used in the applications like aircraft, helicopters, wind turbines and propeller blades design.…”
Section: Introductionmentioning
confidence: 99%
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“…The shape of the airfoil is the first parameter for the efficient aerodynamic design as it plays a major role in deciding the lift and drag [13,14]. Various airfoils are currently used in the applications like aircraft, helicopters, wind turbines and propeller blades design.…”
Section: Introductionmentioning
confidence: 99%
“…However, some specialized airfoils are used for the wind turbine applications [15] or helicopter blades. The HH02 is a Hughes helicopter airfoil, which is specifically used in the Apache helicopters for obtaining good performance in rotor blades [13]. The supercritical airfoils are specially used in the supersonic aircraft to cross the sonic barrier [6].…”
Section: Introductionmentioning
confidence: 99%
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“…These factors have attracted researchers to the application of Artificial Neural Networks (ANNs) with advanced optimisation algorithms for various aircraft design problem enhancements [4,[21][22][23][24]. Actually, an ANN is used mostly to model the objective functions for the design problem, where the computing of the objective function is time-consuming and computationally expensive [25,26]. However, as stated above, it is important to remember that using surrogate models instead of the real objective functions for complex industrial problems may degrade the accuracy of the results [5].…”
Section: Introductionmentioning
confidence: 99%
“…To overcome such a problem bio-inspired algorithms which are based on natural behaviour, such as Particle Swarm Optimisation (PSO) algorithms [29] and Evolutionary Algorithms (EA) [30], have been developed [31]. Keeping in view the success of EAs [32], ANNs had been used in many projects to construct a surrogate model to reduce the overall computational cost and to obtain greater optimality in the solutions [14,25,[32][33][34][35]. The PSO, for example, has a simple mechanism and is computationally inexpensive in terms of memory requirements relative to other population techniques [36,37], and has been implemented by many researchers in various algorithms with an ANN to model the objective function, also the PSO has been used to help with the training of ANNs [38][39][40][41].…”
Section: Introductionmentioning
confidence: 99%