Machine Learning Applications in Modelling and Analysis of Base Pressure in Suddenly Expanded Flows

Machine Learning Applications in Modelling and Analysis of Base Pressure in Suddenly Expanded Flows

Base pressure becomes a decisive factor in governing the base drag of aerodynamic vehicles. While several experimental and numerical methods have already been used for base pressure analysis in suddenly expanded flows, their implementation is quite time consuming. Therefore, we must develop a progre...

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Auteurs principaux: Jaimon Dennis Quadros, Sher Afghan Khan, Abdul Aabid, Mohammad Shohag Alam, Muneer Baig
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
base pressure
machine learning
artificial neural networks
support vector machine
random forest
response surface methodology
Motor vehicles. Aeronautics. Astronautics
TL1-4050
Accès en ligne:https://doaj.org/article/505c633c7e0048aea339d0e6f931deba
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https://doaj.org/article/505c633c7e0048aea339d0e6f931deba

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