Work

Performance prediction and design optimization of a transonic rotor based on deep transfer learning

Year: 2024

Type: article

Source: Physics of Fluids

DOI: 10.1063/5.0221767

Authors: Hefang Deng, Songan Zhang, Kailong Xia, Xiaoqing Qiang, Mingmin Zhu, Jinfang Teng

Institution: Shanghai Jiao Tong University

Language: English

Topic: Turbomachinery Performance and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Shanghai Municipal Education Commission, Fundamental Research Funds for the Central Universities

Awards: G1388929683, G7217265027

OpenAlex ID: W4402598583

FWCI: 1.41

Cites: 37

Cited by: 8

Related to: 10