A novel deep-learning-based pressure distribution prediction approach of airfoils

An Intelligent Method for Predicting the Pressure Coefficient Curve of Airfoil-Based Conditional Generative Adversarial Networks

(2021) Yueqing Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

An Inverse Design Method for Airfoils Based on Pressure Gradient Distribution

(2020) Yufei Zhang et al.   Energies

Fast pressure distribution prediction of airfoils using deep learning

(2020) Xinyu Hui et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Natural Laminar-Flow Airfoil Optimization Design Using a Discrete Adjoint Approach

(2020) Yayun Shi et al.   AIAA JOURNAL

Effect of printed circuit heat exchanger’s different designs on the performance of supercritical carbon dioxide Brayton cycle

(2020) Muhammed Saeed et al.   APPLIED THERMAL ENGINEERING

A deep learning approach for efficiently and accurately evaluating the flow field of supercritical airfoils

(2019) Haizhou Wu et al.   COMPUTERS & FLUIDS

A review of parametric approaches specific to aerodynamic design process

(2018) Tian-tian Zhang et al.   ACTA ASTRONAUTICA

Pressure distribution guided supercritical wing optimization

(2018) Runze LI et al.   Chinese Journal of Aeronautics

Data-Based Approach for Fast Airfoil Analysis and Optimization

(2018) Jichao Li et al.   AIAA JOURNAL

An Automated Approach to Nacelle Parameterization Using Intuitive Class Shape Transformation Curves

(2017) Robert Christie et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

Supercritical wing design based on airfoil optimization and 2.75D transformation

(2016) Tong Zhao et al.   AEROSPACE SCIENCE AND TECHNOLOGY

An airfoil parameterization method for the representation and optimization of wind turbine special airfoil

(2015) Yixiong Liu et al.   Journal of Thermal Science

A Hierarchical RBF Online Learning Algorithm for Real-Time 3-D Scanner

(2009) S. Ferrari et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Ability to forecast unsteady aerodynamic forces of flapping airfoils by artificial neural network

(2008) Dilek Funda Kurtulus   NEURAL COMPUTING & APPLICATIONS