Transferable machine learning model for the aerodynamic prediction of swept wings
With their development, machine learning models can be used instead of computational
fluid dynamics simulations to predict flow fields in aerodynamic optimization. However, it is …
fluid dynamics simulations to predict flow fields in aerodynamic optimization. However, it is …
Research on compressor cascade flow field modeling method based on finite volume flux-informed neural network
Q Liu, F Xue, S Wang, H Liu, Y Wang - Physics of Fluids, 2024 - pubs.aip.org
For compressor cascade flow field modeling, there exists strong velocity shear in the leading
edge separation flow, boundary layer, and wake, which leads to increased modeling errors …
edge separation flow, boundary layer, and wake, which leads to increased modeling errors …
Machine-learning-based multipoint optimization of fluidic injection parameters for improving nozzle performance
Fluidic injection provides a promising solution to improve the performance of overexpanded
single expansion ramp nozzle (SERN) during vehicle acceleration. However, determining …
single expansion ramp nozzle (SERN) during vehicle acceleration. However, determining …
Hypernetwork based surrogate modeling of hypersonic glide vehicle aerothermodynamics
AS Way, A Sescu, E Luke, ID Dettwiller - AIAA AVIATION FORUM AND …, 2024 - arc.aiaa.org
The complexity and computational expense of simulating high speed flows around a three-
dimensional vehicle geometry to calculate aerothermodynamic loads can be immense …
dimensional vehicle geometry to calculate aerothermodynamic loads can be immense …