宋召运

Associate Professor   Supervisor of Master's Candidates

Gender:Male

Alma Mater:西北工业大学

Education Level:With Certificate of Graduation for Doctorate Study

Degree:Doctoral Degree in Engineering

School/Department:能源与动力学院

Business Address:A10-532

E-Mail:


Educational Experience

2015.9 -- 2020.7

西北工业大学       航空宇航科学与技术       With Certificate of Graduation for Doctorate Study       Doctoral Degree in Engineering

2013.9 -- 2015.7

西北工业大学       航空宇航推进理论与工程       With Certificate of Graduation for Study as Master's Candidates       硕士

2009.9 -- 2013.7

西北工业大学       飞行器动力工程       University graduated       学士

Social Affiliations

近年来,应邀长期为Physics of Fluids、ASME Journal of Engineering for Gas Turbines and Power,Aerospace Science and Technology、PIME, Part C: Journal of Mechanical Engineering Science,推进技术、航空动力学报等国内外著名期刊审稿。

Research Focus

压气机/风扇不确定性量化

压气机/风扇等多学科优化设计

压气机/风扇流场调控及可调部件的动态仿真

Work Experience

2020.7 -- 2023.12

清华大学      航空发动机研究院      博士后

2024.1 -- Now

南京航空航天大学      能源与动力学院      副教授

Profile

宋召运,副教授/硕导,西北工业大学博士研究生,清华大学博士后。

主要研究方向:压气机/风扇等航空动力压缩部件不确定性量化、多学科设计、流场组织与调控等

科研项目:主持江苏省自然科学基金委青年基金纵向项目1项、横向项目1项,作为核心骨干参与LJ重大专项、JKW基础加强计划等多个国家级重大/重点科研项目。欢迎具有科研热情,踏实勤奋的同学加入我们(学校百强团队)。


近年来发表主要论文情况:

[1]     Song, Z., Wu, Y., Liu, X., & Li, J. Uncertainty quantification based on active subspace dimensionality-reduction method for high-dimensional geometric deviations of compressors. Physics of Fluids, 2024,36(10).

[2]     Song, Z., Wu, Y., Liu, X., & Li, J. Sensitivity analysis and robust optimization to high-dimensional uncertainties of compressors with active subspace method. Aerospace Science and Technology, 2024,153, 109456.

[3]    Song, Z., Zheng, X. *, Wang, B., Zhou, K., Adjei, R. A. Multidisciplinary robust optimization approach of fan rotors under structural constraints with blade curvature. Aerospace Science and Technology, 2023, 142, 108637.

[4]    Song, Z., Sun, Z., Fu, Y., Kong, W., Zheng, X*. Dynamic numerical simulation method and flow characteristic analysis on the mode transition in variable cycle compression system. Aerospace Science and Technology, 2023,143, 108690.

[5]    Song, Z., Zheng, X.*, Wang, B., Zhou, K., Adjei, R. A. Aerodynamic and structural multidisciplinary optimization design method of fan rotors based on blade curvature constraints. Aerospace Science and Technology, 2023, 136, 108187.

[6]    Wang, B., Song, Z.*, Zou, W., Yang, H., Wen, M., Zhou, K., Zheng, X. Rapid performance prediction model of axial turbine with coupling one-dimensional inverse design and direct analysis. Aerospace Science and Technology, 2022, 130, 107828.

[7]    Song, Z., & Liu, B*. Optimization design for tandem cascades of compressors based on adaptive particle swarm optimization. Engineering Applications of Computational Fluid Mechanics, 2018, 12(1), 535-552.

[8]    Song Z, Liu B*, Cheng H. Adaptive particle swarm optimization with population diversity control and its application in tandem blade optimization. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019, 233(6): 1859-1875.