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个人信息Personal Information
副教授 硕士生导师
招生学科专业:
能源动力 -- 【招收硕士研究生】 -- 能源与动力学院
性别:男
毕业院校:西北工业大学
学历:博士研究生毕业
学位:工学博士学位
所在单位:能源与动力学院
办公地点:A10-532
电子邮箱:
个人简介Personal 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.