Compressible multicomponent flow simulations and data-driven modeling of high-speed liquid droplet impingement

被引：5

作者：

Fujisawa, Kei ^{[1
,2
]}

机构：

[1] Nagaoka Univ Technol, Dept Mech Engn, 1603-1 Kamitomioka, Nagaoka 9402188, Japan

[2] Nagaoka Univ Technol, Top Runner Incubat Ctr Acad Ind Fus, 1603-1 Kamitomioka, Nagaoka 9402188, Japan

来源：

ANNALS OF NUCLEAR ENERGY | 2023年 / 194卷

关键词：

Liquid droplet impingement; Computational fluid dynamics; Compressible fluid flow; Nuclear power plant safety; Cyber-physical systems; Data -driven model; EFFICIENT IMPLEMENTATION; IMPACT FORCE; EROSION;

D O I：

10.1016/j.anucene.2023.110073

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

Accurate prediction of the force exerted on a droplet during high-speed liquid droplet impingement (LDI) is challenging yet important for the safety management of nuclear/fossil power plants. This paper describes compressible multicomponent flow simulations and data-driven modeling of high-speed LDI. The compressible multicomponent flow simulations are conducted for various impact Mach numbers ranging from Ma = 0.045 to 0.077. Whereas the peak force associated with the water hammer shock exhibits dependency on the impact Mach number, a self-similar structure for the pressure field within the small region about the impact plane is observed during high-speed LDI. An important observation is that the nondimensional mass-averaged droplet velocity does not vary with the impact Mach number. Finally, a data-driven LPP approach is presented to obtain fast and highly realistic simulations of high-speed LDI.

引用

页数：8