A region-segmentation combinational loss model based on data-driven machine learning for a boundary layer ingestion fan

Aerospace Science and Technology, vol. 144, pp. 108780

Authors 5

1. Tianyu Pan

   Beihang University

   Affiliation as printed

   Collaborative Innovation Center for Advanced Aero-Engine, Beihang University, Beijing, China

   National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics, Beihang University, Beijing, China

   Research Institute of Aero-Engine, Beihang University, Beijing, China

2. Hanan Lu corresponding

   Beihang University

   Affiliation as printed

   Collaborative Innovation Center for Advanced Aero-Engine, Beihang University, Beijing, China

   National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics, Beihang University, Beijing, China

   School of Energy and Power Engineering, Beihang University, Beijing, China

3. Zhe Yang Aachen Chair of Fluid Mechanics Institute of Aerodynamics

   RWTH Aachen University

   Affiliation as printed

   Chair of Fluid Mechanics and Institute of Aerodynamics, RWTH Aachen University, Germany

4. Jian Zhang

   Beihang University

   Affiliation as printed

   School of Energy and Power Engineering, Beihang University, Beijing, China

5. Qiushi Li

   Xihua University · Beihang University

   Affiliation as printed

   Key Laboratory of Fluid and Power Machinery, Xihua University, Chengdu, China

   National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics, Beihang University, Beijing, China

   School of Energy and Power Engineering, Beihang University, Beijing, China