Comparison of solid particle erosion predictions using the dense discrete phase and discrete element models

Zhang, Ri; Zhao, Guanhua

doi:10.1016/j.apt.2022.103644

Cited by 6 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DDPM in Ansys Fluent ® further considers the particle volume fraction and particle-particle collision process described by the hard sphere model, but particle-particle collision forces are calculated by the kinetic theory of granular flow (KTGF). DEM can disclose the whole unsteady particle-particle collision process with the soft sphere model but needs massive computing resources [34]. The DEM is less used to simulate the erosion phenomenon in complex industrial pipes.…”

Section: Tomentioning

confidence: 99%

Multiscale CFD Simulation of Multiphase Erosion Process in a Connecting Pipe of Industrial Polycrystalline Silicon Unit

Chen,

Shi,

Yuan

et al. 2023

Processes

View full text Add to dashboard Cite

Severe erosion phenomena often occur in industrial polycrystalline silicon units, leading to hydrogen leakage accidents and affecting long-term operation. It is favorable to use a computational fluid dynamics (CFD) simulation with the dense discrete phase model (DDPM) and the sub-grid energy-minimization multi-scale (EMMS) drag model to improve the prediction accuracy of complex multiphase erosion phenomena in a connecting pipe of an industrial polycrystalline silicon unit. Furthermore, the effect of droplet the specularity coefficient on boundary conditions is thoroughly considered. The predicted erosion behaviors are consistent with industrial data. The effects of operations parameters were discussed with three-dimensional CFD simulation, including droplet size and hydrogen volume fraction on erosion behaviors. The results indicated that the non-uniform multiphase erosion flow behavior near the wall can be simulated accurately with the EMMS drag model in a coarse mesh. A suitable droplet specularity coefficient such as 0.5 can also improve the accuracy of erosion position. Small liquid droplets, such as those of 30 μm size, will follow the gas phase better and have a lower erosion rate. The inertia effect of large droplets, such as those of 150 μm size, plays a dominant role, resulting in obvious erosion on the elbow walls. The erosion range and thinning rate enlarge with the increase in hydrogen volume fraction. A few silicon solid particles, such as 0.01% volume fraction, change local flow behaviors and probably cause the variation of local erosion positions. The process of erosion deformation first circumferentially extended and then accelerated at the local center position deeper.

show abstract

Section: Tomentioning

confidence: 99%