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论文成果
- 61Yang, J..Liu, Y.,Wang, X.,Wu, H..An improved steady inverse method for turbomachinery aerodynamic design.[J].INVERSE PROBLEMS IN SCIENCE AND ENGINEERING,2017,25(5):633-651.
- 62李志.刘艳,杨金广,徐乐,张敏.超声速涡轮叶型全局气动优化设计.[J].推进技术,2018,40(5):1051-1057.
- 63Yang, Chen.Wu, Hu,Yang, Jinguang,Ferlauto, Michele.Time-marching throughflow analysis of multistage axial compressors based on a novel inviscid blade force model.[J].PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF
AEROSPACE ENGINEERING,2019,233(14):5239-5252.
- 64Nakamura, Hayate.Ueno, Ichiro,Ogawa, Tetsuya,Inoue, Motochika,Hori, Takuma,Mu, Lizhong,Yoshikawa, Harunori N.,Zoueshtiagh, Farzam,Dietze, Georg,Tsukahara, Takahiro.Pumping effect of heterogeneous meniscus formed around spherical particle.[J].JOURNAL OF COLLOID AND INTERFACE SCIENCE,2020,562133-141.
- 65Chen, Xudong.RESEARCH ON FAILURE OF SEMI-OPEN CENTRIFUGAL IMPELLER UNDER AERODYNAMIC LOAD.[A].2021,7B-2017
- 66谢蓉.Numerical investigation on the performances of the last three stages in an industrial steam turbine under different operation conditions.[A].2021,
- 67徐胜利.Bayesian wavelet PCA methodology for turbomachinery damage diagnosis under uncertainty.[J].MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2021,801-18.
- 68杨金广.NUMERICAL SIMULATIONS AND OPTIMIZATIONS FOR TURBINE-RELATED CONFIGURATIONS.[J].THERMAL SCIENCE,2021,24(1):367-378.
- 69Shao, Wenyang.Investigation on One-Dimensional Loss Models for Predicting Performance of Multistage Centrifugal Compressors in Supercritical CO(2)Brayton Cycle.[J].JOURNAL OF THERMAL SCIENCE,2021,30(1):133-148.
- 70Yang, S.Bayesian Stochastic Neural Network Model for Turbomachinery Damage Prediction.[J].International Journal of Prognostics and Health Management,2021,9(1):1-19.
