冷冻靶黑腔氦气充注过程数值模拟与分析

郭富城; 李翠; 陈洵; 厉彦忠

doi:10.7652/xjtuxb201911011

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冷冻靶黑腔氦气充注过程数值模拟与分析

更新时间：2025-07-09

- 冷冻靶黑腔氦气充注过程数值模拟与分析
- Numerical Simulation and Analysis of Helium Filling Process in Cryogenic Target Hohlraum
- 西安交通大学学报 2019年53卷第11期页码：79
- 作者机构：
  
  西安交通大学能源与动力工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2019-05-07。作者简介: 郭富城(1995—),男,硕士生;李翠(通信作者),女,博士,讲师。基金项目: 国家重大专项资助项目;国家自然科学基金资助项目(51506158)
- DOI：10.7652/xjtuxb201911011
  中图分类号： TB651
- 网络首发：2019-11-10，
  
  纸质出版：2019
- 稿件说明：
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郭富城, 李翠, 陈洵, 等. 冷冻靶黑腔氦气充注过程数值模拟与分析[J]. 西安交通大学学报, 2019,53(11):79.

Numerical Simulation and Analysis of Helium Filling Process in Cryogenic Target Hohlraum[J]. 2019, 53(11): 79.
郭富城, 李翠, 陈洵, 等. 冷冻靶黑腔氦气充注过程数值模拟与分析[J]. 西安交通大学学报, 2019,53(11):79. DOI： 10.7652/xjtuxb201911011.

Numerical Simulation and Analysis of Helium Filling Process in Cryogenic Target Hohlraum[J]. 2019, 53(11): 79. DOI： 10.7652/xjtuxb201911011.

摘要

基于Hagen-Poiseuille公式、耦合气体增压微分方程及气体状态方程

采用Matlab编程的形式建立了黑腔内部气体增压物理模型

针对冷冻靶黑腔氦气增压问题进行了数值模拟与分析。结果表明:在氦气充注过程中采用连续流体模型计算即可满足精度要求; 毛细管的通流能力对腔内压力及温升影响剧烈

在氦气初始温度相同的情况下

毛细管通流能力越大

氦气充注速率越大

但同时腔内气体温升较高; 设置冷壁制冷变功率策略后

随着冷壁最大制冷功率增加

充气速率降低

腔内温升降低

冷壁最大制冷功率提高0.5 mW

腔内最大温升下降约13 K; 氦气的初始温度对充注过程有较大影响

氦气初始温度降低1 K

充气时间减少约0.6 s

腔内气体最大温升降低约0.1 K。所提出的方法可推广至靶内燃料气体充注及腔内抽空流洗情形

从而可为解决腔内气体充注问题提供一种有效便捷的数值模拟方法。

Abstract

Coupled with gas-pressure differential equation and gas-state equation

a Hagen-Poiseuille formula-based gas-charging physical model of the hohlraum is established by Matlab. Numerical simulation and analysis are carried out on the helium pressuri-ation in the inertial confinement nuclear fusion process. The results show that the continuous fluid model in the helium filling process can meet the calculation accuracy requirements. The capillary flow capacity has great influence on the pressure and temperature rise in the hohlraum. When the initial temperature of helium is the same

as the capillary flow capacity increases

the gas filling rate is increased. Meanwhile

the gas temperature is raised in the hohlraum. After setting the cold-wall variable power strategy

as the maximum cooling power of the cold wall increases

the filling rate and the temperature in the hohlraum are decreased. Once the maximum cooling power of the cold wall goes up about 0.5 mW

the maximum temperature rise i

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