High-Lift Multi-Element Airfoil Shape and Setting Optimization Using Multi-Objective Evolutionary Algorithms

Benini, Ernesto; Ponza, Rita; Massaro, Andrea

doi:10.2514/1.c031233

Cited by 30 publications

(19 citation statements)

References 16 publications

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“…Regarding the 2D activities, the most simplified case is represented by the AI-D approach, wherein shape optimization was not considered at all and the only DV are those relevant to HL devices positioning. Moreover, as reported in [28] [29], both ONERA and UNIPD employed a shape parameterization based on Bézier curves, though using a different number of DV. Similarly, both AI-M and CIRA employed a strategy based on overposition of modes for shape modification purposes.…”

Section: D Approachesmentioning

confidence: 99%

Comparison of Optimization Strategies for High-Lift Design

Iannelli

Moëns

Minervino

et al. 2017

Journal of Aircraft

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The design of high-lift systems represents a challenging task within the aerospace community, being a multidisciplinary, multi-objective and multi-point problem. The DeSiReH (Design, Simulation and Flight Reynolds Number Testing for Advanced High-Lift Solution) project, funded by European Commission under the 7th Framework Program, aimed at improving the aerodynamics of high-lift systems by developing, in a coordinated approach, both efficient numerical design strategies and measurement techniques for cryogenic conditions. Within DeSiReH, different partners used several numerical automatic optimization strategies for high-lift system design purposes. A realistic multi-objective and multi-point optimization problem was defined and solved by adopting different flow models dimensionality, meshing techniques, geometry parameterization and optimization strategies. Special attention was devoted to perform a fair comparison of the results and useful information were obtained about trends, pros and cons of the approaches used. The outcome of these activities is that an efficient design

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Section: D Approachesmentioning

confidence: 99%

Comparison of Optimization Strategies for High-Lift Design

Iannelli

Moëns

Minervino

et al. 2017

Journal of Aircraft

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“…High-lift systems typically require a lot of time to be designed and tested. However, the most recent advances in computational fluid dynamics (CFD) have become in an invaluable tool for hydrodynamic optimization design [6]. In the process of the design optimization, the number of the objective function evaluations using high-fidelity CFD analysis solvers is severely limited by time and cost [8].…”

Section: Introductionmentioning

confidence: 99%

Surrogate modelling for high-lift multi-element hydrofoil shape optimization of a hydrokinetic turbine blade

Rubio-Clemente¹,

Aguilar²,

Chica³

2020

REPQJ

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The hydrodynamic shape of a blade is one of the most important factors in the design process of a horizontal axis hydrokinetic turbine that influences its performance. The present work is focused on the design and hydrodynamic analysis of a high-lift system using the optimization method of surrogate models and computational fluid dynamics (CFD) analysis. The parameters that affect the amount of the lift and the drag force that a hydrofoil can generate are the gap, the overlap, the flap deflection angle (δ), the flap chord length (C2) and the angle of attack of the hydrofoil (α). These factors were varied to examine the turbine performance in terms of the ratio between the lift (CL) and the drag coefficient (CD), and the minimum negative pressure coefficient (min Cpre) in order to avoid the cavitation inception. For this propose, surrogate models were implemented to analyse the CFD results and find the optimal combination of the design parameters of the high-lift hydrofoil. The traditional Eppler 420 hydrofoil was utilized for the design of the multi-element profile, which was composed of a main element and a flap. The multi-element design selected as optimal had a gap of 2.825 %C1, an overlap of 8.52 %C1, a δ of 19.765˚, a C2 of 42.471 %C1 and a α of-4˚, where C1 refers to the chord length of the main element. In comparison with the traditional Eppler 420 hydrofoil, CL/CD ratio increases from 39.050 to 42.517.

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“…Concerning the optimization schemes, they have been highlighted to range from Tabu search [29,31,32] to genetic algorithm (GA) [34,36], which are the most often used. In addition, Benini and coworkers [36] obtained satisfactory results when using Matlab ® R2019a software (R2019a, MathWorks Inc, Natick, MA, USA) [37], which offers a general vision of a multi-objective genetic algorithm (MOGA) that is available in the global optimization toolbox in Matlab (gamultiobj function of Genetic Algorithm and Direct Search ToolboxTM), which in turn uses a controlled, elitist genetic algorithm that is a variant of NSGA-II [38,39] to create a set of points on the Pareto front.…”

Section: Introductionmentioning

confidence: 99%

“…The initial population size was equal to 20. This number was chosen by multiplying the number of free variables (5 parameters in the current study) by a factor of 4 [36,38]. The total number of generations defined in GA was equal to 100 [34].…”

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confidence: 99%

Design and Optimization of a Multi-Element Hydrofoil for a Horizontal-Axis Hydrokinetic Turbine

et al. 2019

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Hydrokinetic turbines are devices that harness the power from moving water of rivers, canals, and artificial currents without the construction of a dam. The design optimization of the rotor is the most important stage to maximize the power production. The rotor is designed to convert the kinetic energy of the water current into mechanical rotation energy, which is subsequently converted into electrical energy by an electric generator. The rotor blades are critical components that have a large impact on the performance of the turbine. These elements are designed from traditional hydrodynamic profiles (hydrofoils), to directly interact with the water current. Operational effectiveness of the hydrokinetic turbines depends on their performance, which is measured by using the ratio between the lift coefficient (CL) and the drag coefficient (CD) of the selected hydrofoil. High lift forces at low flow rates are required in the design of the blades; therefore, the use of multi-element hydrofoils is commonly regarded as an adequate solution to achieve this goal. In this study, 2D CFD simulations and multi-objective optimization methodology based on surrogate modelling were conducted to design an appropriate multi-element hydrofoil to be used in a horizontal-axis hydrokinetic turbine. The Eppler 420 hydrofoil was utilized for the design of the multi-element hydrofoil composed of a main element and a flap. The multi-element design selected as the optimal one had a gap of 2.825% of the chord length (C1), an overlap of 8.52 %C1, a flap deflection angle (δ) of 19.765°, a flap chord length (C2) of 42.471 %C1, and an angle of attack (α) of –4°.

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High-Lift Multi-Element Airfoil Shape and Setting Optimization Using Multi-Objective Evolutionary Algorithms

Cited by 30 publications

References 16 publications

Comparison of Optimization Strategies for High-Lift Design

Comparison of Optimization Strategies for High-Lift Design

Surrogate modelling for high-lift multi-element hydrofoil shape optimization of a hydrokinetic turbine blade

Design and Optimization of a Multi-Element Hydrofoil for a Horizontal-Axis Hydrokinetic Turbine

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