Cell-Set Modelling for a Microtab Implementation on a DU91W(2)250 Airfoil

Ballesteros-Coll, Alejandro; Fernandez-Gamiz, Unai; Aramendia, Iñigo; Zulueta, Ekaitz; Ramos-Hernanz, José Antonio

doi:10.3390/en13246723

Cited by 3 publications

(4 citation statements)

References 34 publications

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“…In that work, different Gurney flaps were added to the TE of a DU91W(2)250 airfoil by means of the cell-set model. In further studies, Ballesteros-Coll et al 7 , 8 implemented microtabs and rotating microtabs on the same airfoil. Other authors, such as Portal-Porras et al 9 , 10 used this meshing technique to model the performance of three-dimensional Vortex Generators (VG) on a flat plate.…”

Section: Introductionmentioning

confidence: 99%

CNN-based flow control device modelling on aerodynamic airfoils

Portal-Porras

Fernández-Gámiz

Zulueta

et al. 2022

Sci Rep

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Wind energy has become an important source of electricity generation, with the aim of achieving a cleaner and more sustainable energy model. However, wind turbine performance improvement is required to compete with conventional energy resources. To achieve this improvement, flow control devices are implemented on airfoils. Computational fluid dynamics (CFD) simulations are the most popular method for analyzing this kind of devices, but in recent years, with the growth of Artificial Intelligence, predicting flow characteristics using neural networks is becoming increasingly popular. In this work, 158 different CFD simulations of a DU91W(2)250 airfoil are conducted, with two different flow control devices, rotating microtabs and Gurney flaps, added on its Trailing Edge (TE). These flow control devices are implemented by using the cell-set meshing technique. These simulations are used to train and test a Convolutional Neural Network (CNN) for velocity and pressure field prediction and another CNN for aerodynamic coefficient prediction. The results show that the proposed CNN for field prediction is able to accurately predict the main characteristics of the flow around the flow control device, showing very slight errors. Regarding the aerodynamic coefficients, the proposed CNN is also capable to predict them reliably, being able to properly predict both the trend and the values. In comparison with CFD simulations, the use of the CNNs reduces the computational time in four orders of magnitude.

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Section: Introductionmentioning

confidence: 99%

CNN-based flow control device modelling on aerodynamic airfoils

Portal-Porras

Fernández-Gámiz

Zulueta

et al. 2022

Sci Rep

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“…Besides the advantages that the cell-set model provides over the fully resolved mesh model, there are not many studies in which this model has been applied. Ballesteros-Coll et al [21,27] used the cell-set model to generate Gurney flaps and microtabs on DU91W250 airfoils, and Ibarra-Udaeta et al [28] modelled conventional vane-type VGs with this model.…”

Section: Introductionmentioning

confidence: 99%

Testing the Accuracy of the Cell-Set Model Applied on Vane-Type Sub-Boundary Layer Vortex Generators

et al. 2021

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Vortex Generators (VGs) are applied before the expected region of separation of the boundary layer in order to delay or remove the flow separation. Although their height is usually similar to that of the boundary layer, in some applications, lower VGs are used, Sub-Boundary Layer Vortex Generators (SBVGs), since this reduces the drag coefficient. Numerical simulations of sub-boundary layer vane-type vortex generators on a flat plate in a negligible pressure gradient flow were conducted using the fully resolved mesh model and the cell-set model, with the aim on assessing the accuracy of the cell-set model with Reynolds-Averaged Navier-Stokes (RANS) and Large Eddy Simulation (LES) turbulence modelling techniques. The implementation of the cell-set model has supposed savings of the 40% in terms of computational time. The vortexes generated on the wake behind the VG; vortical structure of the primary vortex; and its path, size, strength, and produced wall shear stress have been studied. The results show good agreements between meshing models in the higher VGs, but slight discrepancies on the lower ones. These disparities are more pronounced with LES. Further study of the cell-set model is proposed, since its implementation entails great computational time and resources savings.

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“…Ibarra-Udaeta et al [20] and Portal-Porras et al [21] used the CS model to construct vortex generators and sub-boundary layer vortex generators, respectively. Ballesteros-Coll et al [22] used the CS model to generate a Gurney flap on the trailing edge of a DU91W250 airfoil and implemented a microtab on the trailing edge of a DU91W(2)250 airfoil [23]. All of them demonstrated a good performance with this novel flow control device implementation model.…”

Section: Introductionmentioning

confidence: 99%

“…The method was firstly introduced in Ballesteros-Coll et al [22] where the CS model was validated against fully mesh data for the implementation and optimization of a Gurney flap (GF) on the DU91W250 and DU97W300 airfoils. A recent study carried out by Ballesteros-Coll et al [23] illustrates the performance of the CS method for active MT implementation with variable length. The model reached a global relative error of e g = 3.784% in comparison with the fully mesh model.…”

Section: Introduction To the Cell-set Modelmentioning

confidence: 99%

Rotating Microtab Implementation on a DU91W250 Airfoil Based on the Cell-Set Model

et al. 2021

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Flow control device modeling is an engaging research field for wind turbine optimization, since in recent years wind turbines have grown in proportions and weight. The purpose of the present work was to study the performance and effects generated by a rotating microtab (MT) implemented on the trailing edge of a DU91W250 airfoil through the novel cell-set (CS) model for the first time via CFD techniques. The CS method is based on the reutilization of an already calculated mesh for the addition of new geometries on it. To accomplish that objective, the required region is split from the main domain, and new boundaries are assigned to the mentioned construction. Three different MT lengths were considered: h = 1%, 1.5% and 2% of the airfoil chord length, as well as seven MT orientations (β): from 0° to −90° regarding the horizontal axis, for five angles of attack: 0°, 2°, 4°, 6° and 9°. The numerical results showed that the increases of the β rotating angle and the MT length (h) led to higher aerodynamic performance of the airfoil, CL/CD = 164.10 being the maximum ratio obtained. All the performance curves showed an asymptotic trend as the β angle reduced. Qualitatively, the model behaved as expected, proving the relationship between velocity and pressure. Taking into consideration resulting data, the cell-set method is appropriate for computational testing of trailing edge rotating microtab geometry.

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Cell-Set Modelling for a Microtab Implementation on a DU91W(2)250 Airfoil

Cited by 3 publications

References 34 publications

CNN-based flow control device modelling on aerodynamic airfoils

CNN-based flow control device modelling on aerodynamic airfoils

Testing the Accuracy of the Cell-Set Model Applied on Vane-Type Sub-Boundary Layer Vortex Generators

Rotating Microtab Implementation on a DU91W250 Airfoil Based on the Cell-Set Model

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