SPH simulation of natural convection in a modeled reactor core using a new combinatorial kernel

Gui, Nan; Zhang, Xiaoxi; Huang, Xiaoli; Yang, Xingtuan; Tu, Jiyuan; Jiang, Shengyao

doi:10.1016/j.anucene.2022.109249

Cited by 4 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, SPH has been used to simulate reactors. [18,19] Gui et al [18] analyzed the natural convection in a reactor model with four channels. They obtained the particle trajectories, velocity, and temperature profiles in the reactor and validated their results by using a benchmark dam break case.…”

Section: Introductionmentioning

confidence: 99%

Predicting the Flow Behavior and Residence Time Distribution in Chemical Reactors: A Simplified and Fast Approach Using Smoothed Particle Hydrodynamics

Asif,

Grande

2023

Advcd Theory and Sims

View full text Add to dashboard Cite

Understanding the flow dynamics of chemical species is important for characterizing, analyzing, and designing chemical reactors. Computational fluid dynamics (CFD) provides accurate flow patterns, but this approach can be computationally expensive for large or complex geometries. To overcome this limitation, a new Lagrangian‐based method is developed using smoothed particle hydrodynamics (SPH) to forecast the flow patterns and residence time distribution of two different fluids for various reactor geometries: (laminar, fractal, T‐mixer, Hartridge–Roughton (H‐R) mixer and packed bed with a gyroid internal packing) and compared the results with computational fluid dynamics (CFD) simulations. The SPH method is less accurate than the CFD analysis, but it obtained the approximate flow behavior much faster. Consequently, the SPH method has significant potential as a first screening technique to optimize reactor topologies and internal packing structures.

show abstract

Section: Introductionmentioning

confidence: 99%