Physics-informed deep learning cascade loss model
Y Feng, X Song, W Yuan, H Lu - Aerospace Science and Technology, 2023 - Elsevier
The design procedure of aero-engine compressor requires empirical models such as
cascade loss model and deviation model. With accurate predictions of basic cascade …
cascade loss model and deviation model. With accurate predictions of basic cascade …
A region-segmentation combinational loss model based on data-driven machine learning for a boundary layer ingestion fan
T Pan, K Shi, H Lu, Z Yang, J Zhang, Q Li - Aerospace Science and …, 2024 - Elsevier
The boundary layer ingesting (BLI) fan is continuously working under distorted inflows. The
rotor blade moves across the distorted and undistorted regions and the resultant off-design …
rotor blade moves across the distorted and undistorted regions and the resultant off-design …
Prediction of non-uniform distorted flows, effects on transonic compressor using CFD, regression analysis and artificial neural networks
MU Sohail, HR Hamdani, A Islam, K Parvez, AM Khan… - Applied Sciences, 2021 - mdpi.com
Featured Application Development of a transonic compressor instability prediction tool
under distorted inlet flow conditions using extensive CFD runs for a supervised learning …
under distorted inlet flow conditions using extensive CFD runs for a supervised learning …
Body force model implementation of transonic rotor for fan/airframe simulations
A Magrini - Aerospace, 2022 - mdpi.com
Three-dimensional throughflow models represent a turbomachinery cascade via a force
distribution without the need for detailed geometric modelling in the numerical solution …
distribution without the need for detailed geometric modelling in the numerical solution …
A new loss generation body force model for fan/compressor blade rows: application to uniform and non-uniform inflow in rotor 67
Despite advances in computational power, the cost of time-accurate flows in axial
compressor and fan stages with spatially non-uniform inflow is still too high for design-stage …
compressor and fan stages with spatially non-uniform inflow is still too high for design-stage …
A data-driven tip flow loss prediction method for a transonic fan under boundary layer ingesting inflow distortion
Z Yang, H Lu, T Pan, Q Li - Journal of …, 2023 - asmedigitalcollection.asme.org
In a boundary layer ingesting (BLI) propulsion system, the fan blades need to operate
continuously under large-scale inflow distortion. The distortion will lead to serious …
continuously under large-scale inflow distortion. The distortion will lead to serious …
Performance prediction of co-rotating disk cavity with finned vortex reducer based on machine learning
M Zhang, C Wang, J Zhang - International Journal of Thermal Sciences, 2024 - Elsevier
Abstract Machine learning method was applied for rapid and precise prediction of flow and
heat transfer characteristics within co-rotating disk cavity with a finned vortex reducer. A new …
heat transfer characteristics within co-rotating disk cavity with a finned vortex reducer. A new …
An improved body force model based on a data-driven region-segmentation combinational loss model for a transonic fan rotor under uniform and non-uniform inflow
T Pan, K Shi, H Lu, Z Ren, J Zhang - Physics of Fluids, 2024 - pubs.aip.org
Boundary layer ingestion (BLI) fans are required to continuously operate under distorted
inflow conditions, which severely reduces the fan's efficiency. Therefore, it is necessary to …
inflow conditions, which severely reduces the fan's efficiency. Therefore, it is necessary to …
基于数据驱动的复杂进气下风扇转子叶根损失模型
石凯凯， 鹿哈男， 潘天宇， 李秋实 - 航空动力学报, 2023 - jasp.com.cn
发展了一种基于数据驱动的复杂进气下风扇转子叶根损失预测方法. 提取了影响风扇转子叶根
损失的关键气动参数作为输入变量, 熵损失系数作为输出参数; 采用计算耗时小的单叶片通道 …
损失的关键气动参数作为输入变量, 熵损失系数作为输出参数; 采用计算耗时小的单叶片通道 …