Simulating particle collisions in homogeneous turbulence with kinematic simulation – A validation study

Meyer, Daniel W.; Eggersdorfer, Maximilian L.

doi:10.1016/j.colsurfa.2014.04.010

Cited by 8 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where κ is the wave number, κ 0 is the wave number at which the spectrum peaks and the amplitude A controls the initial kinetic energy 39 . The method of kinematic simulation 44 is used to generate the velocity field. Control parameters for this problem are the turbulent Mach number,…”

Section: Decaying Of Compressible Isotropic Turbulencementioning

confidence: 99%

Extended Lattice Boltzmann Model for Gas Dynamics

Saadat,

Hosseini,

Dorschner

et al. 2021

Preprint

View full text Add to dashboard Cite

We propose a two-population lattice Boltzmann model on standard lattices for the simulation of compressible flows. The model is fully on-lattice and uses the single relaxation time Bhatnagar-Gross-Krook kinetic equations along with appropriate correction terms to recover the Navier-Stokes-Fourier equations. The accuracy and performance of the model are analyzed through simulations of compressible benchmark cases including Sod shock tube, sound generation in shock-vortex interaction and compressible decaying turbulence in a box with eddy shocklets. It is demonstrated that the present model provides an accurate representation of compressible flows, even in the presence of turbulence and shock waves.

show abstract

Section: Decaying Of Compressible Isotropic Turbulencementioning

confidence: 99%

Extended Lattice Boltzmann Model for Gas Dynamics

Saadat,

Hosseini,

Dorschner

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, the distribution of inlet mean wind speed in the vertical direction was determined according to this fitting. In addition, in order to implement an inflow condition with turbulence, a fluctuation velocity was generated by the Kinematic Simulation (KS) method (Fung et al, 1992;Meyer & Eggersdorfer, 2014). Moreover, other boundary conditions are listed in Table 1.…”

Section: Figure 1 Schematic Diagram Of the Target Wind Turbines In The Wind Farmmentioning

confidence: 99%

Operation Process and Response Characteristics of the Wind Turbines Under Complex Terrain Using a Multi-scale Coupling Model

Wang¹,

Luo²,

Fan³

2019

Proceedings of Global Power &Amp; Propulsion Society

View full text Add to dashboard Cite

A multi-scale coupled model of wind farms simulation combined with mesoscale and micro-scale models is newly developed in the present work. The mesoscale simulation is based on mesoscale wind farm parameterized (WFP) coupling model WFP-WRF, while the micro-scale calculation using large eddy simulation coupling wind turbine control method. Based on the WRF-CFD coupled model, the multi-scale simulations of the flow field and operation characteristics of an onshore wind farm under complex terrain are carried out. The accuracy of wind power output results based on the mesoscale WFP-WRF model and the multi-scale WRF-CFD model is tested on the basis of the wind farm operation data, the results show that compared to the mesoscale WFP-WRF model, the WRF-CFD multi-scale model has obvious advantages in capturing the flow details and improving the simulation precision of the wind farm. Then, the influence of wake interference on the operating characteristics of downstream wind turbines is discussed. Final, this paper considers the three conditions of the wind turbine on the upwind of the slope, the top of the slope and the downwind of the slope, respectively, and explores the influence of the terrain on the flow field around the wind turbine and the operating characteristics of the wind turbine. The multi-scale coupled simulation platform developed in the present work can be used to assist the macro-siting and micro-siting of wind farms and has important engineering application value.

show abstract

“…In addition to the equations based on the cylindrical mode and the sphere mode, the Smoluchowski collision rate coefficient can be used to describe the stochastic collision of particles in the collision kernel model [15,21]. In calculation of the model, the kinematic simulation (KS) method [22] and direct numerical simulation (DNS) method [23] are used to calculate collision frequency of particles that reflects the probability of particle collision. According to the above methods, the collision frequency can be calculated in turbulent, shear, or laminar flow.…”

Section: Introductionmentioning

confidence: 99%

Modeling of soot particle collision and growth paths in gas-solid two-phase flow

2021

View full text Add to dashboard Cite

Particle collision is an important process in soot particle growth. In this research, based on gas-solid two-phase flow, particle trajectory was traced by the Lagrange approach with periodic boundaries. Trajectory intersection, collision probability, and critical velocity were considered, and the growth path of each particle was traced. The collision frequency (fc), agglomeration frequency (fa), and friction collision frequency (ffc) were calculated, and the main influence factors of particle collision were analyzed. The results showed that fc, fa, fa/fcincreased with the increase of the particle volume fraction and gasphasevelocity(v), but the particle initial diameter (dpi) andvhad the great influence on fa/fc. fa/fcobviously decreased with the increase of dpiand v.The statistical analysis of fa/fcand Stokes number showed that fa/fcdecreased with the increase of Stokes number, especially when stokes number was extremely small, fa/fcdecreased rapidly. Using the trajectory analysis of each particle, the particle growth process could be classified in three types: firstly, the particles that did not agglomerate with any particles during the entire calculation process; secondly, the particles that continually agglomerated with small particles to generate larger ones; and finally, the particles that were agglomerated by larger particles at some calculation moment.

show abstract

Simulating particle collisions in homogeneous turbulence with kinematic simulation – A validation study

Cited by 8 publications

References 36 publications

Extended Lattice Boltzmann Model for Gas Dynamics

Extended Lattice Boltzmann Model for Gas Dynamics

Operation Process and Response Characteristics of the Wind Turbines Under Complex Terrain Using a Multi-scale Coupling Model

Modeling of soot particle collision and growth paths in gas-solid two-phase flow

Contact Info

Product

Resources

About