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A CFD Data-based Cavity Flow Surrogate Model with Machine Learning Algorithm
Shing Chung Lee
*
,
Kim Boon Lua
*
Corresponding author for this work
Department of Mechanical Engineering
Research output
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Article
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peer-review
1
Scopus citations
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Keyphrases
Machine Learning Algorithms
100%
Data-centric
100%
Surrogate Model
100%
Cavity Flow
100%
Pressure Fluctuation
40%
CFD Results
40%
High Efficiency
20%
Prediction Accuracy
20%
Aeroacoustics
20%
Engineering Application
20%
Fluid Mechanics
20%
Military
20%
Concept Design
20%
Artificial Neural Network Algorithm
20%
Flight Vehicle
20%
Hardware Capabilities
20%
Stealth Technology
20%
Machine Learning Technology
20%
Computational Fluid Mechanics
20%
Experimental Fluid Mechanics
20%
Wind Tunnel Data
20%
LSTM Algorithm
20%
RNN Algorithm
20%
Engineering
Computational Fluid Dynamics
100%
Cavity Flow
100%
Machine Learning Algorithm
100%
Surrogate Model
100%
Fluid Mechanics
40%
Pressure Fluctuation
40%
Frequency Domain
20%
Engineering Application
20%
Test Point
20%
Design Stage
20%
Flow Domain
20%
Concept Design
20%
Artificial Neural Network
20%
Stealth Technology
20%
Tunnel
20%