来姝玥

2016年-2019年 University of Maryland 博士

工作经历

2024年-至今 上海交通大学机械与动力工程学院 长聘教轨副教授，博导

2023年-2024年 上海交通大学航空航天学院 长聘教轨副教授

2020年-2022年 上海交通大学航空航天学院 长聘教轨助理教授

研究方向

（1）多相爆炸和冲击动力学

（2）高超声速推进技术

（3）计算流体力学

科研项目

国家自然科学基金青年基金，2021-2023，主持。

浦江人才项目，2020-2022，主持。

代表性论文专著

1. Lai, S., Y.Rao, H. Wang, Computational analysis of a dense granular system driven by a propagating shock wave in an Eulerian-Eulerian framework , Physics of Fluids, 2024 accepted

2. Lai, S., Tang, S., Xu, C., Sekularac, N., & Fang, X. (2023). Computational diagnostics for flame acceleration and transition to detonation in a hydrogen/air mixture. Combustion and Flame, 258, 113054.

3. Lai, S., Xu, C., Davy, M., & Fang, X. (2022). Flame acceleration and transition to detonation in a pre-/main-chamber combustion system. Physics of Fluids, 34(11)

4. Lai, S., Houim, R. W., & Oran, E. S. (2017). Mechanism and structure of subsurface explosions in granular media. Physical Review Fluids, 2(9), 094301.

5. Lai, S., Houim, R. W., & Oran, E. S. (2018). Effects of particle size and density on dust dispersion behind a moving shock. Physical Review Fluids, 3(6), 064306.

6. Lai, S., Houim, R. W., & Oran, E. S. (2019). Dispersion of stratified dust layers by a moving shock wave. International Journal of Multiphase Flow, 118, 87-96.

7. Luo, S., Ouyang, Y., Wei, Q., Lai, S.*, Wu, Y., Wang, H.*, & Wang, H. (2023). Understanding the breakup behaviors of liquid jet in gas atomization for powder production. Materials & Design, 227, 111793.

8. Zhu, R. X., Tang, S., Lai, S.*, Fang, X., Davy, M., & Xu, C. (2022, October). Parametric Studies of Deflagration-to-Detonation Transition in a Pre-Chamber/Main-Chamber System. In Internal Combustion Engine Division Fall Technical Conference (Vol. 86540, p. V001T06A003). American Society of Mechanical Engineers.

9. Tang, S., Fang, X., Xu, C., Zhang, S., & Lai, S.* (2024). Effect of activation energy on detonation re-initiation behaviors in hydrogen-air mixtures. In AIAA SCITECH 2024 Forum (p. 0589).

10. Luo S, Ouyang Y, Lai S, et al. 3D numerical modeling of gas atomization process for powderpreparation based on similarity theory[J]. Powder Technology, 2024, 433: 119244.

教学工作

计算方法 2021-2023

荣誉奖励

2020，上海市浦江人才计划