Investigation on the abilities of different artificial intelligence methods to predict the aerodynamic coefficients

S Yetkin, S Abuhanieh, S Yigit - Expert Systems with Applications, 2024 - Elsevier
Abstract The Computational Fluid Dynamics (CFD) simulations at different fidelity levels are
a common tool for predicting the aerodynamic performance in many engineering …

Machine learning-accelerated aerodynamic inverse design

A Shirvani, M Nili-Ahmadabadi… - Engineering Applications of …, 2023 - Taylor & Francis
The computational cost of iterative design methods has been a challenge in aerodynamics.
In this research, the data-driven acceleration of an iterative inverse design method was …

A simple and rapid spectrophotometric method coupled with intelligent approaches for the simultaneous determination of antiepileptic drugs in pharmaceutical …

R Noroozi, MR Sohrabi, M Davallo - Chemometrics and Intelligent …, 2022 - Elsevier
In this study, simultaneous measurement of Phenytoin (PHT), Levetiracetam (LEV), and
Pregabalin (PRG) was assessed by chemometrics methods, including feedforward artificial …

Piston wear detection and feature selection based on vibration signals using the improved spare support vector machine for axial piston pumps

S Xia, Y Xia, J Xiang - Materials, 2022 - mdpi.com
A piston wear fault is a major failure mode of axial piston pumps, which may decrease their
volumetric efficiency and service life. Although fault detection based on machine learning …

[HTML][HTML] A low-diffusion robust flux splitting scheme towards wide-ranging Mach number flows

C Shusheng, CAI Fangjie, X Xiang… - Chinese Journal of …, 2021 - Elsevier
This paper develops a low-diffusion robust flux splitting scheme termed TVAP to achieve the
simulation of wide-ranging Mach number flows. Based on Toro-Vázquez splitting approach …

[HTML][HTML] A spanwise loss model for axial compressor stator based on machine learning

YUE Zixuan, Z Chenghua, JIN Donghai… - Chinese Journal of …, 2022 - Elsevier
In the early stage of aircraft engine design, the through-flow method is an important tool for
designers. The accuracy of the through-flow method depends heavily on the accuracy of the …

Reynolds number effect correction of multi-fidelity aerodynamic distributions from wind tunnel and simulation data

H Yang, S Chen, Z Gao, Q Jiang, S Jin - Physics of Fluids, 2023 - pubs.aip.org
Conventional wind tunnels cannot simulate actual flight Reynolds numbers because of
testing condition constraints. The changes in aerodynamic characteristics caused by …

Improved Adaptive NDI Flight Control Law Design Based on Real-Time Aerodynamic Identification in Frequency Domain

D Zhou, Z Jin, G Wu - Applied Sciences, 2023 - mdpi.com
The traditional aircraft controller design is usually based on the off-line aerodynamic model.
Due to the deviation of the off-line aerodynamic model, the flight quality is difficult to meet the …

[HTML][HTML] Intelligent vectorial surrogate modeling framework for multi-objective reliability estimation of aerospace engineering structural systems

T Da, F Yunwen, C Junyu, LU Cheng - Chinese Journal of Aeronautics, 2024 - Elsevier
To improve the computational efficiency and accuracy of multi-objective reliability estimation
for aerospace engineering structural systems, the Intelligent Vectorial Surrogate Modeling …

Controller design and remote piloting training module development for unmanned cropped delta reflex wing configuration

S Goswami, G Kishore, N Kumar, S Saderla - Aerospace Science and …, 2024 - Elsevier
In this study, a cost-effective high-fidelity six-degree of freedom module augmented with an
onboard controller is developed. The unmanned aerial vehicle (UAV) under consideration is …