A5018058618- Gas Dynamics and Kinetic Theory
- Plasma Diagnostics and Applications
- Electrohydrodynamics and Fluid Dynamics
- Computational Fluid Dynamics and Aerodynamics
- Planetary Science and Exploration
- Nuclear reactor physics and engineering
- Fusion materials and technologies
- Particle accelerators and beam dynamics
- Aerodynamics and Fluid Dynamics Research
- Radiation Effects in Electronics
- Rocket and propulsion systems research
- Model Reduction and Neural Networks
- Fluid Dynamics and Turbulent Flows
- Mass Spectrometry Techniques and Applications
- Nuclear Engineering Thermal-Hydraulics
- Fluid Dynamics and Heat Transfer
- Nuclear Materials and Properties
- Magnetic confinement fusion research
- Metal and Thin Film Mechanics
- Particle Dynamics in Fluid Flows
- Quantum, superfluid, helium dynamics
- Plasma and Flow Control in Aerodynamics
- Spacecraft and Cryogenic Technologies
Beihang University
2020-2024
Abstract The modified Sigmund sputtering formula offers high computational accuracy for calculating yields and the energy distribution of sputtered atoms. This introduces a parameter called "relative threshold energy" (Ez), which, like (Eth), serves as reference minimum required sputtering. However, Ez is significantly larger than Eth, rendering model inaccurate calculations when E < Ez. Additionally, our previous research provided an empirical expression Ez, but it was complex lacked...
Abstract The Vlasov–Poisson equation is one of the most fundamental models in plasma physics. It has been widely used areas such as confined plasmas thermonuclear research and space planetary magnetospheres. In this study, we explore feasibility physics-informed neural networks for solving forward inverse (PINN-Vlasov). PINN-Vlasov method employs a multilayer perceptron (MLP) to represent solution equation. training dataset comprises randomly sampled time, space, velocity coordinates...
As the lander approaches lunar surface, engine plumes impinge on regolith and entrain dust from surface. This plume–surface interaction resulting dispersion of form a multi-physics, multi-scale problem, which becomes even more complex under multi-engine conditions. study employed direct simulation Monte Carlo method to simulate flow field four-engine at various landing altitudes surface angles. Flow characteristics were analyzed, impact plume backflow was assessed. Subsequently, conducted...
The vacuum plume phenomenon encountered during lunar exploration missions poses significant challenges, such as impingement forces, heat fluxes, and spacecraft contamination. Numerical simulation represents the predominant method for evaluating impacts of plumes. However, conventional direct Monte Carlo (DSMC) method, despite being standard, is notably time-consuming impractical real-time analysis. Addressing this limitation, our research explores deep learning, specifically convolutional...
Effects from ion thruster plume have long raised concerns. However, little work has systematically analyzed the influencing parameters in simulation. This paper analyzes LIPS 200 simulations about parameters. The numerical are carried out by a hybrid particle-in-cell (PIC) method and direct simulation Monte Carlo (DSMC) method. PIC is employed for plasma dynamics, DSMC used collisions. Simulation results were compared detail to obtain variation of with Besides, experimental data optimize...
Abstract Ionic liquid electrospray thrusters with high specific impulse, thrust accuracy and low noise are very promising for space gravitational wave detection missions. The plume, which may lead to surface charging of solar panels sensitive spacecraft components is a great concern the applications thruster. Therefore, this paper investigates plume neutralization process ionic thruster through fully kinetic particle-in-cell simulations. unipolarity operation mode firstly simulated compared...
Abstract Electric propulsion systems, such as ion thrusters and Hall thrusters, are widely utilized in aerospace. The target indirect measurement method (TIMM) is a simple robust way to measure its thrust. In general, one can obtain the thrust by scaling up force exerted on surface immersed plume flow. However, charge exchange (CEX) allows ions become neutral particles, increasing coefficient. Meanwhile, sputtered atoms reflected incident particles exert enlarge measured this study, effects...
In space missions, the vacuum plume generated by rocket engines can negatively impact spacecraft. Therefore, researching is crucial to guarantee regular operation of The conventional numerical simulation methodology, direct Monte Carlo (DSMC) method, time-consuming and lacks real-time calculation capabilities. Recently, deep learning (DL) methods have emerged in field fluid dynamics. this study, a DL model trained convolutional neural network with multiple decoders introduced predict flow...
Real-time and accurate prediction of aerodynamic flow fields around airfoils is crucial for control optimization. However, achieving this remains challenging due to the high computational costs non-linear nature physics. Traditional Computational Fluid Dynamics (CFD) methods face limitations in balancing efficiency accuracy, hindering their application real-time scenarios. To address these challenges, study presents AeroDiT, a novel surrogate model that integrates scalable diffusion models...