Chuang Wen

TL;DR: In this paper, a mathematical model is developed to predict the spontaneous condensing phenomenon in the supersonic flows using the nucleation and droplet growth theories, which shows a good agreement between them.

TL;DR: In this paper, the authors developed a wet steam model based on computational fluid dynamics to understand the intricate feature of the steam condensation in the supersonic ejector, and the numerical results show that the dry gas model exaggerates the expansion characteristics of the primary nozzle by 21.95%, which predicts a Mach number of 2.00 at the nozzle exit compared to 1.64 for the wet steam.

TL;DR: In this article, a computational fluid dynamics (CFD) model was developed to predict the CO2 condensing flow in a supersonic nozzle, adding two transport equations to describe the liquid fraction and droplet number.

TL;DR: In this paper, the natural gas flows in diffusers were numerically calculated using the navier-stokes equations with the RSM (reynolds stress model) and the behavior of gas dynamic parameters was analyzed under conditions of shock waves and boundary layers.

TL;DR: In this paper, the Discrete Particle Method (DPM) was used to study the particle motion in supersonic flows with a strong swirl, and the results showed that the gas flow was accelerated to super-supersonic velocity, and created the low pressure and temperature conditions for gas removal.