Numerical investigation of the interaction between a shock wave and a particle cloud curtain using a CFD–DEM model

Sugiyama, Yoshinobu; Ando, Hirotomo; Shimura, Kei; Matsuo, Akiko

doi:10.1007/s00193-018-0878-1

Cited by 16 publications

(5 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even though the qualitative phenomena are well known, 1,3 the interaction mechanisms between shock and particles are yet to be elucidated quantitatively in both well-conducted experiments and in numerical simulations and modelings. 27 Particularly, the particle clouds of the volume fraction O(10 −4 -10 −3…”

Section: Introductionmentioning

confidence: 99%

Modeling of particle cloud dispersion in compressible gas flows with shock waves

et al. 2020

View full text Add to dashboard Cite

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

Section: Introductionmentioning

confidence: 99%

Modeling of particle cloud dispersion in compressible gas flows with shock waves

et al. 2020

View full text Add to dashboard Cite

show abstract

“…An important part of the high speed flow through particle clouds is the particle-scale fluctuations. These are commonly neglected in Eulerian-Lagrangian and Eulerian-Eulerian simulations of shock-wave particle cloud interactions, see , e.g., Houim and Oran 16 , Ling et al 20 , Sugiyama et al 40 , Theofanous and Chang 41 . The gradient of the streamwise velocity fluctuations is an integral part of the momentum balance around the particle cloud edges.…”

Section: B Flow Fields and Fluctuationsmentioning

confidence: 99%

“…The process of shock wave particle cloud interaction has recently received attention in both experimental 13,42,46 and numerical studies 16,20,37,40,41 . Numerical studies have primarily utilized two different approaches.…”

Section: Introductionmentioning

confidence: 99%

Particle-resolved simulations of shock-induced flow through particle clouds at different Reynolds numbers

et al. 2020

View full text Add to dashboard Cite

This study investigates the Reynolds-number dependence of shock-induced flow through particle layers at 10% volume fraction, using ensemble-averaged results from particle-resolved large eddy simulations. The advantage of using large eddy simulations to study this problem is that they capture the strong velocity shears and flow separation caused by the no-slip condition at the particle surfaces. The shock particle cloud interaction produces a reflected shock wave, whose strength increases with decreasing particle Reynolds number. This results in important changes to the flow field that enters the particle cloud. The results show an approximate proportionality between the mean flow velocity and the flow fluctuation magnitudes. Maximum particle drag forces are in excellent agreement with previous inviscid studies, and we complement these results with statistics of time-averaged particle forces as well as the variation of temporal oscillations. The results of this work provides a basis for development of improved simplified dispersed flow models.

show abstract

“…Therefore, it is nontrivial to compute particle forces in such problems, and while many studies have performed simulations of this kind, e.g. [1,2,3,4], it is unclear whether the physical processes at particle scale are well represented, and therefore whether or not the results are reliable. This motivates a detailed assessment of the performance of classical drag laws in problems featuring dense particle suspensions.…”

Section: Introductionmentioning

confidence: 99%

Performance of drag force models for shock-accelerated flow in dense particle suspensions

Osnes¹,

Vartdal²

2021

Preprint

View full text Add to dashboard Cite

Models for prediction of drag forces within a particle cloud following shock-acceleration are evaluated with the aid of results from particle-resolved simulations in order to quantify how much the disturbances introduced by the proximity of nearby particles affect the drag forces. The drag models evaluated here consist of quasi-steady forces, undisturbed flow forces, inviscid unsteady forces, and viscous unsteady forces. Two dense particle curtain correction schemes to these forces, based on volume fraction and input velocity, are also evaluated. The models are tested in two ways; first they are evaluated based on volume-averaged flow fields from particle-resolved simulations; secondly, they are applied in Eulerian-Lagrangian simulations, and the results are compared to the particle-resolved simulations.The results show that both correction schemes significantly improve the particle force predictions, but the average total impulse on the particles is still underpredicted by both correction schemes in both tests. With the volume averaged flow fields as input, the volume fraction correction gives the best results. However, in the Eulerian-Lagrangian simulations it is demonstrated that the velocity fluctuation model, associated with the velocity correction scheme, is crucial for obtaining accurate predictions of the mean flow fields.

show abstract

Numerical investigation of the interaction between a shock wave and a particle cloud curtain using a CFD–DEM model

Cited by 16 publications

References 34 publications

Modeling of particle cloud dispersion in compressible gas flows with shock waves

Modeling of particle cloud dispersion in compressible gas flows with shock waves

Particle-resolved simulations of shock-induced flow through particle clouds at different Reynolds numbers

Performance of drag force models for shock-accelerated flow in dense particle suspensions

Contact Info

Product

Resources

About