Drag Force of Intermediate Reynolds Number Flow Past Mono- and Bidisperse Arrays of Spheres
Extensive lattice-Boltzmann simulations were performed to obtain the drag force for random arrays of monodisperse and bidisperse spheres.
Extensive lattice-Boltzmann simulations were performed to obtain the drag force for random arrays of monodisperse and bidisperse spheres.
Cyclones have been in operation for over one hundred years. Arena-Flow simulations were preformed to understand the gas hydrodynamics in a commercial scale cyclone and its implication towards both gas distribution and residence time.
This paper demonstrates a correlation between in-bed pressure fluctuations and information about bubble size distribution for Geldart A and B powders.
The kinetic model in this paper is based on a molecular approach and is proposed to represent the cracking reactions of industrial feedstocks on a commercial equilibrium catalyst; given that it shows the importance of the condensation and hydrogen transfer reactions for coke formation and gasoline quality, it therefore can be used for modeling a commercial FCC riser.
This paper documents how the Eulerian-Lagrangian approach can be used to simulate simultaneous evaporation and cracking reactions occurring in FCC riser reactors.
The scale-up of fluidized beds is not an exact science. Deep fluidized beds of Group A materials can cause significant gas bypassing leading to poor gas-solids contacting.
The simulation results in this paper support the idea that the average drag coefficient is an important factor for the two-fluid model and suggest that the EMMS approach could be used as a kind of multiscale closure law for drag coefficient in areas where the Wen Yu-Ergun hybrid is insufficient.
This paper by researchers at Arena-Flow LLC and Sandia National Labs demonstrate early successes in the Eulerian-Lagrangian, MP-PIC method used by Barracuda Virtual Reactor in modeling three-dimensional flow in a gas-solid riser.
This paper demonstrates a way to validate the hydrodynamics of a system with image analysis techniques.
A 3-dimensional image reconstruction technique based on neural network multi-criterion optimization (NN-MOIRT) for electrical capacitance tomography (ECT) is developed for the first time.