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Related papers: Aeroacoustic airfoil shape optimization enhanced b…

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During the phase of landing, an important aircraft-noise source emanates from the interaction of the landing-gear wake with the deployed flap. In the present work we cast this problem in an academic framework, by studying a simplified…

In the realm of computational fluid dynamics (CFD), accurate prediction of aerodynamic behaviour plays a pivotal role in aerofoil design and optimization. This study proposes a novel approach that synergistically combines autoencoders and…

Fluid Dynamics · Physics 2023-05-31 Tanishk Nandal , Vaibhav Fulara , Raj Kumar Singh

The aeroacoustics of a NACA 0012 aerofoil with an array of self-oscillating flexible flaplets attached on the trailing edge has been investigated at low to moderate chord based Reynolds number (50,000 -- 350,000) and at geometric angles of…

Fluid Dynamics · Physics 2020-01-08 E. Talboys , T. F. Geyer , C. Bruecker

Airfoil shape optimization presents a challenge where classical solvers frequently struggle with computational efficiency and local minima. In the promising paradigm of quantum computing, the coherent Ising machine (CIM), a specialized…

Quantum Physics · Physics 2026-03-12 Hao Ni , Qi Gao , Zhen Lu , Yue Yang

Extremum seeking control (ESC) and its slope seeking generalization are applied in a high-fidelity flow simulation framework for reduction of acoustic noise generated by a NACA0012 airfoil. Two Reynolds numbers are studied for which…

Fluid Dynamics · Physics 2021-07-19 Tarcísio Costa Déda Oliveira , William Roberto Wolf

This study investigates the aerodynamic performance of the symmetric NACA 0018 airfoil under harmonic pitching motions at low Reynolds numbers, a regime characterized by the presence of laminar separation bubbles and their impact on…

Fluid Dynamics · Physics 2025-04-18 Krzysztof Rogowski , Maciej Śledziewski , Jan Michna

Deep neural operators, such as DeepONets, have changed the paradigm in high-dimensional nonlinear regression from function regression to (differential) operator regression, paving the way for significant changes in computational engineering…

This paper investigates the effect of the geometric parameters -- rod diameter and the distance between the rod and the airfoil -- on the noise generated by rod-airfoil configuration using experimental and numerical techniques. The…

Fluid Dynamics · Physics 2021-02-02 Sparsh Sharma , Thomas F. Geyer , Jens Giesler

A convolutional autoencoder is trained using a database of airfoil aerodynamic simulations and assessed in terms of overall accuracy and interpretability. The goal is to predict the stall and to investigate the ability of the autoencoder to…

Fluid Dynamics · Physics 2023-02-22 Ettore Saetta , Renato Tognaccini , Gianluca Iaccarino

The precision of shape representation and the dimensionality of the design space significantly influence the cost and outcomes of aerodynamic optimization. The design space can be represented more compactly by maintaining geometric…

Optimization and Control · Mathematics 2025-04-03 Junlin Li , Yang Zhang , Bo Pang , Junqiang Bai , Jiakuan Xu

When fossil fuel supplies can no longer be replenished and hence fossil fuel power generation becomes outdated, wind energy will become a vital solution to the impending energy crisis. A horizontal-axis wind turbine is a widely used…

Fluid Dynamics · Physics 2024-09-24 Mahadi Hasan Shanto , Sayed Tanvir Ahmed , A K M Ashikuzzaman

The inverse approach is computationally efficient in aerodynamic design as the desired target performance distribution is prespecified. However, it has some significant limitations that prevent it from achieving full efficiency. First, the…

Machine Learning · Computer Science 2022-03-10 Sunwoong Yang , Sanga Lee , Kwanjung Yee

We present an application of autoencoders to the problem of noise reduction in single-shot astronomical images and explore its suitability for upcoming large-scale surveys. Autoencoders are a machine learning model that summarises an input…

Instrumentation and Methods for Astrophysics · Physics 2023-03-08 Oliver. J. Bartlett , David. M. Benoit , Kevin. A. Pimbblet , Brooke Simmons , Laura Hunt

Human factors, specifically visual impact and noise production, are the current main limitations for broader urban wind energy exploitation. Trailing edge noise, caused by the turbulent boundary layer interacting with the airfoil surface,…

This study investigates the influence of aerofoil shape optimisation on blade aerodynamic performance under curvilinear and unsteady kinematics characteristic of vertical-axis turbines and cycloidal propellers. Using a cyclorotor in hover…

Fluid Dynamics · Physics 2026-03-10 Benjamin Irwin , David Toal , Swathi Krishna

Direct numerical simulations are carried out to investigate the flow features responsible for secondary tones arising in trailing-edge noise at moderate Reynolds numbers. Simulations are performed for a NACA 0012 airfoil at freestream Mach…

Fluid Dynamics · Physics 2019-09-13 Tulio R. Ricciardi , Walter Arias-Ramirez , William R. Wolf

This paper presents a method for simultaneous optimization of the outer shape and internal topology of aircraft wings, with the objective of minimizing drag subject to lift and compliance constraints for multiple load cases. The physics are…

Computational Engineering, Finance, and Science · Computer Science 2023-05-01 Lukas C. Høghøj , Cian Conlan-Smith , Ole Sigmund , Casper Schousboe Andreasen

This study computes the optimal normal actuation on the surface of a NACA0012 airfoil at an angle of attack of 15{\deg} and a Reynolds number of Re = 1000, using costs defined for minimal drag and maximal lift. To allow for a general…

Fluid Dynamics · Physics 2024-03-07 Ernold Thompson , Andres Goza

A method of noise reduction proposed for the next generation of aircraft is to shield noise from the propulsion system, by positioning the noise source over a wing or another surface. In this paper, an approximate analysis is developed for…

Fluid Dynamics · Physics 2022-05-16 Michael Carley

Traditionally, deriving aerodynamic parameters for an airfoil via Computational Fluid Dynamics requires significant time and effort. However, recent approaches employ neural networks to replace this process, it still grapples with…

Fluid Dynamics · Physics 2024-03-25 Zemin Cai , Zhengyuan Fan , Tianshu Liu