Voth et al., 2017 - Google Patents
Anisotropic particles in turbulenceVoth et al., 2017
View PDF- Document ID
- 294834853291507058
- Author
- Voth G
- Soldati A
- Publication year
- Publication venue
- Annual Review of Fluid Mechanics
External Links
Snippet
Anisotropic particles are common in many industrial and natural turbulent flows. When these particles are small and neutrally buoyant, they follow Lagrangian trajectories while exhibiting rich orientational dynamics from the coupling of their rotation to the velocity …
- 239000002245 particle 0 title abstract description 398
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1456—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
- G01N15/1459—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N15/0205—Investigating particle size or size distribution by optical means, e.g. by light scattering, diffraction, holography or imaging
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Voth et al. | Anisotropic particles in turbulence | |
| Krüger | Computer simulation study of collective phenomena in dense suspensions of red blood cells under shear | |
| Fornari et al. | Sedimentation of finite-size spheres in quiescent and turbulent environments | |
| Grossmann et al. | Self-propelled particles with selective attraction–repulsion interaction: from microscopic dynamics to coarse-grained theories | |
| Puderbach et al. | A coupled CFD-DEM model for resolved simulation of filter cake formation during solid-liquid separation | |
| Słomka et al. | Encounter rates between bacteria and small sinking particles | |
| Alipour et al. | Long non-axisymmetric fibres in turbulent channel flow | |
| Gherardi et al. | Characterizing the size and shape of sea ice floes | |
| Jie et al. | Influence of the quiescent core on tracer spheroidal particle dynamics in turbulent channel flow | |
| Yuan et al. | Three-dimensional Voronoï analysis of preferential concentration of spheroidal particles in wall turbulence | |
| Zhu et al. | Interface-resolved direct numerical simulations of the interactions between neutrally buoyant spheroidal particles and turbulent channel flows | |
| Weber et al. | Role of particle conservation in self-propelled particle systems | |
| Wang et al. | Kinematic morphology of large-scale structure: evolution from potential to rotational flow | |
| Liu et al. | CFD-DEM simulation of fluidization of polyhedral particles in a fluidized bed | |
| Willibald et al. | Ice spheres as model snow: tumbling, sintering, and mechanical tests | |
| DePuit et al. | Micro–macro-discrepancies in nonlinear microrheology: I. Quantifying mechanisms in a suspension of Brownian ellipsoids | |
| Gupta et al. | Flocking of active particles in a turbulent flow | |
| Zhang et al. | Resolved CFD-DEM simulation of free settling of polyhedral particles with various orientations: Insights provided by oscillation behavior in quiescent liquid | |
| Ferrer et al. | Experimental measurement of mean transition path velocities of colloidal particles surmounting energy barriers | |
| Piumini et al. | Particle chirality does not matter in the large-scale features of strong turbulence | |
| Parravano et al. | The Dependence of prestellar core mass distributions on the structure of the parental cloud | |
| Jiang et al. | Rotational dynamics of bottom-heavy rods in turbulence from experiments and numerical simulations | |
| Thompson et al. | Gas accretion and ram pressure stripping of haloes in void walls | |
| Nimura et al. | Viscoelasticity-induced instability in plane Couette flow at very low Reynolds number | |
| Fazli et al. | Long-wavelength instabilities in a system of interacting active particles |