Turbomachinery Blade Surrogate Modeling Using Deep Learning

Keyphrases

• Neural Network Method 100%
• Deep Learning 100%
• Surrogate Model 100%
• Convolutional Neural Network 100%
• Turbomachinery Blade 100%
• Shape Parameter 33%
• Design Space 33%
• Performance Evaluation 33%
• Quantity of Interest 33%
• Nonlinear Relationship 33%
• Automatically Identify 33%
• Function Approximation 33%
• Airfoil 33%
• Aerodynamic Performance 33%
• Flow Quantity 33%
• Blade Design 33%
• Pressure Loss 33%
• Latent Constructs 33%
• CFD Solver 33%
• Flow Field Features 33%
• Pressure Deviation 33%

Engineering

• Deep Learning 100%
• Convolutional Neural Network 100%
• Turbomachine Blades 100%
• Flow Field 33%
• Computational Fluid Dynamics 33%
• Shape Parameter 33%
• Essential Feature 33%
• Neural Network Approach 33%
• Design Space 33%
• Airfoil 33%
• Pressure Loss 33%
• Aerodynamic Performance 33%
• Flow Quantity 33%
• Blades Design 33%

Chemical Engineering

• Neural Network 100%
• Deep Learning 100%