Accurate Computation of Airfoil Flow Based on the Lattice Boltzmann Method

Wang, Liangjun; Zhang, Xiaoxiao; Zhu, Wenhao; Xu, Kangle; Wu, Weiguo; Chu, Xuesen; Zhang, Wu

doi:10.3390/app9102000

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…As our CFD solver, the LBM has many great features in fluid simulation among the many numerical methods in the CFD fields. For ultra-low Reynolds numbers, the aerodynamic coefficient of airfoils can be computed using LBM [12]. At a microscopic level, the particles of a fluid live on a lattice.…”

Section: B Lattice Boltzmann Methodsmentioning

confidence: 99%

“…Besides, Suzuki et al [10] simulate wing flapping using the lattice Boltzmann method (LBM) at Re = 100. Many applications can be applied through this LBM [11], including the fluid flow around the airfoil at ultra-low Re and the calculation of aerodynamic coefficients such as the coefficients of lift ( ) and drag ( ) [12]- [14]. The attractiveness of LBM in simulating fluid flows lies in the benefits of numerical computation compared to other CFD methods, such as easy-to-follow algorithms, efficient implementation of parallel computations, handling of complex geometries, and so on [15].…”

Section: Introductionmentioning

confidence: 99%

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Convolutional Neural Networks-Based For Predicting Aerodynamic Coefficient Of Airfoils At Ultra-Low Reynolds Number

Kasman,

Zikri,

Fariduzzaman

et al. 2024

JOIV : Int. J. Inform. Visualization

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Many applications, including airplane design, wind turbines, and heat transmission, use symmetric or asymmetric airfoils. Engineers employ these airfoil shapes to optimize performance and efficiency. Each airfoil has a unique set of aerodynamic coefficients that must be calculated to maximize the airfoil design. Engineers utilize numerous ways to calculate coefficients, such as lift and drag. One of the methods is the prediction method, which effectively reduces time and cost. This study's training dataset is obtained from particle-based numerical computation using the Lattice Boltzmann Method (LBM). Then, Convolutional Neural Networks (CNN) are used as a prediction method to get the aerodynamic coefficients of airfoils for lift and drag based on two different Reynolds numbers. In CNN, airfoil geometry representation is essential. The Signed Distance Function (SDF) was used to convert airfoil geometry into RGB pictures. On the other hand, the SDF method cannot explain different flow conditions; in this case, it is represented by the Reynolds number (Re). Therefore, we propose a Text-based Watermarking Method (TWM) to differentiate between Re = 500 and Re = 1000. Each airfoil representation was trained and tested to generate each prediction model using a modified LeNet-5. The computation results show that using CNN with TWM on SDF to define the Reynolds numbers could predict the lift and drag coefficients with varying angles of attack. Future research can focus on generalizations to different aerodynamic aspects and practical applications in complex scenarios.

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Section: B Lattice Boltzmann Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Convolutional Neural Networks-Based For Predicting Aerodynamic Coefficient Of Airfoils At Ultra-Low Reynolds Number

Kasman,

Zikri,

Fariduzzaman

et al. 2024

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

“…Thus, it clearly reveals that a nested type LB-Large Eddy Simulation solver can compute extremely well, the calculations of wind flow with parallel/cloud-based computational resources. [13] The lattice Boltzmann method (LBM) appears to be an important computational algorithm for CFD. For simple flow around the two-dimensional (2D) NACA airfoil, at different angles of attack shows promising results with the value of lift and pressure coefficients in good agreement with experimentation from literature.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of an External Flow around a Corrugated Wing using Lattice Boltzmann Method

Singh,

Yidris,

Basri

et al. 2024

E3S Web Conf.

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During the course of recent studies on wings at low Reynold number, it was observed that wing corrugation is often assumed to play an important role as well. However, studies show that corrugation of the wing is intended for structural purposes, and not aerodynamics. Corrugated wings have the advantage of being light and sturdy. Therefore, the main aim of this study is to understand the flow behaviour of the corrugated insect-scale wing; by conducting, a geometric parametric study during a non-oscillatory flight at a particular low Reynolds number and at two different angles of attack. In this computational study, a 3-D section of the corrugated wing along the chord is considered. The lattice Boltzmann method offers an alternative framework compared to the Navier-Stokes simulations. An open-source Parallel Lattice Boltzmann Solver on a high-performance computing platform is used for this computational analysis. The present study shows that the flow-related performance of the corrugated wing in terms of forces and kinetic energy is predominantly governed by the geometric variations that can largely affect the formation of vortices and their mutual interaction. The study reveals that the presence of corrugation does not affect the enhancement of forces and corrugation near the leading edge generally affects the performance due to large flow separation affecting the suction.

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“…Over the last few decades, the lattice Boltzmann method (LBM) has become a popular computational fluid dynamics method [ 14 , 15 , 16 , 17 , 18 ]. LBM is based on molecular dynamics theory, which abstracts fluid into a large number of microscopic particles that collide and migrate through discrete grids according to simple motion rules to illustrate the evolution of the flow field; it reveals macroscopic motion characteristics of a fluid using a particle-distribution function.…”

Section: Introductionmentioning

confidence: 99%

A Simplified Linearized Lattice Boltzmann Method for Acoustic Propagation Simulation

Song

Chen

Cao

et al. 2022

Entropy

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A simplified linearized lattice Boltzmann method (SLLBM) suitable for the simulation of acoustic waves propagation in fluids was proposed herein. Through Chapman–Enskog expansion analysis, the linearized lattice Boltzmann equation (LLBE) was first recovered to linearized macroscopic equations. Then, using the fractional-step calculation technique, the solution of these linearized equations was divided into two steps: a predictor step and corrector step. Next, the evolution of the perturbation distribution function was transformed into the evolution of the perturbation equilibrium distribution function using second-order interpolation approximation of the latter at other positions and times to represent the nonequilibrium part of the former; additionally, the calculation formulas of SLLBM were deduced. SLLBM inherits the advantages of the linearized lattice Boltzmann method (LLBM), calculating acoustic disturbance and the mean flow separately so that macroscopic variables of the mean flow do not affect the calculation of acoustic disturbance. At the same time, it has other advantages: the calculation process is simpler, and the cost of computing memory is reduced. In addition, to simulate the acoustic scattering problem caused by the acoustic waves encountering objects, the immersed boundary method (IBM) and SLLBM were further combined so that the method can simulate the influence of complex geometries. Several cases were used to validate the feasibility of SLLBM for simulation of acoustic wave propagation under the mean flow.

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Accurate Computation of Airfoil Flow Based on the Lattice Boltzmann Method

Cited by 5 publications

References 22 publications

Convolutional Neural Networks-Based For Predicting Aerodynamic Coefficient Of Airfoils At Ultra-Low Reynolds Number

Convolutional Neural Networks-Based For Predicting Aerodynamic Coefficient Of Airfoils At Ultra-Low Reynolds Number

Numerical Study of an External Flow around a Corrugated Wing using Lattice Boltzmann Method

A Simplified Linearized Lattice Boltzmann Method for Acoustic Propagation Simulation

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