Results 111 to 120 of about 3,820 (224)
OPTIONS FOR ROBUST AIRFOIL OPTIMIZATION UNDER UNCERTAINTY
A robust optimization method is developed to overcome point-optimization at the sampled design points. This method combines the best features from several preliminary methods proposed by the authors and their colleagues.
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Airfoil Optimization for vertical axis wind turbines
This thesis addresses the process of airfoil optimization for vertical axis wind turbines (VAWT). The airfoils are designed for large scale turbines above 5 MW.
Kemp, R. (author)
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An Integrated Method for Airfoil Optimization
Design exploration and optimization is a large part of the initial engineering and design process. To evaluate the aerodynamic performance of a design, viscous Navier-Stokes solvers can be used.
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Sensitivity analysis for multidisciplinary design optmization [PDF]
When designing a complex industrial product, the designer often has to optimise simultaneously multiple conflicting criteria. Such a problem does not usually have a unique solution, but a set of non-dominated solutions known as Pareto solutions.
Maginot, Jeremy
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A Novel Global Optimization Algorithm and Its Application to Airfoil Optimization
In this paper, a novel global optimization algorithm has been developed, which is named as particle swarm optimization combined with particle generator (PSO-PG). In PSO-PG, a PG was introduced to iteratively generate the initial particles for PSO.
L He +5 more
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Airfoil optimization with efficient gradient calculations
The viscous airfoil design analysis code XFOIL was extended to allow optimization using conformal mapping coefficients as design variables. The optimization technique used was the Steepest Descent method applied to a Penalty Function.
Sorensen, Thomas
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Enhancing performance of gravitational water vortex turbines through airfoil design and basin parameters. [PDF]
Michel M +4 more
europepmc +1 more source
Robust design methodologies: application to compressor blades
Compressor blades are subtle aerodynamic shapes designed after years of research and insight. They inevitably show deviations from their desired shapes due to manufacturing errors, erosion or foreign object damage.
Kumar, Apurva
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CFD-driven neural network and SVM models for airfoil aerodynamic enhancement with bio-inspired riblets and plasma actuation. [PDF]
Karthikeyan KV +4 more
europepmc +1 more source

