Application of Particle Image Velocimetry for velocity measurements during silo discharge

Ostendorf, Michael; Schwedes, Jörg

doi:10.1016/j.powtec.2005.04.020

Cited by 35 publications

(14 citation statements)

References 3 publications

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“…Although PIV was originally developed for fluid flow (18)(19)(20)(21), this technique is increasingly being applied to the study of particulate flow (22)(23)(24)(25)(26)(27). PIV involves capturing sequential images of the flow field and dividing them into sub-windows, from which velocity vectors are determined by means of sub-window roaming and pattern matching.…”

Section: Particle Image Velocimetry and Post-processing For Flow Visumentioning

confidence: 99%

Classification of Annular Bed Flow Patterns and Investigation on Their Influence on the Bottom Spray Fluid Bed Coating Process

2010

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Section: Particle Image Velocimetry and Post-processing For Flow Visumentioning

confidence: 99%

Classification of Annular Bed Flow Patterns and Investigation on Their Influence on the Bottom Spray Fluid Bed Coating Process

2010

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“…Different works can be found in the literature using PIV in granular flows [32], silo discharge [33][34][35] and fluidized beds [26,12]. The same PIV software used by Müller et al [26](MATPIV 1.6.1 [36]) and the same iterative process and filters of this work were followed.…”

Section: Jet Spike Mechanismmentioning

confidence: 99%

Experimental observations on the different mechanisms for solid ejection in gas-fluidized beds

Almendros-Ibáñez

Sánchez-Delgado

Sobrino

et al. 2009

Chemical Engineering and Processing: Process Intensification

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a b s t r a c tThis work presents an experimental study of the ejection velocity for different mechanisms of solid ejection in fluidized beds. The experiments were carried out in a 2D fluidized bed, where the bubble eruptions were recorded with a frequency of 250 frames per second using a high speed video camera with a resolution of 1.3 Megapixels.The results show that in isolated bubble eruption, the dome velocity is significantly reduced by the effect of a group of raining particles in the form of stalactites within the bubble. Higher velocities are observed when bubble coalescence takes place. If bubbles coalesce before the leading bubble breaks, the momentum of the trailing bubble together with the increase in the throughflow accelerate the dome of the leading bubble. In contrast, when coalescence occurs after the breakage of the leading bubble, the wake of the trailing bubble is projected into the freeboard with a very high velocity (wake spike mechanism). The last observed mechanism, the jet spike mechanism, occurs when a stream of bubbles reaches the bed surface following the path opened by the previous bubbles. A cloud of particles moving upward is observed, although their velocities are not as high as in the wake spike mechanism due to the interchange of momentum during the collisions with other particles.Finally, an explanation for some of the patterns of gas release from erupting bubbles recently observed by Hartung et al.

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“…If all of stored material moves when the silo is opened then the flow mode is mass flow, thus the material that enters the silo first discharges first (this is the so called "first in-first out" behavior) [6]. In a funnel flow design the movement of material is confined to the vertical region of the silo's center, and the material that enters first is discharged last and near to the walls stagnant zones are formed (Fig.…”

Section: Introductionmentioning

confidence: 99%

Extension of silo discharge model based on discrete element method

Oldal

Safranyik

2015

J Mech Sci Technol

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Silos are containers used by almost all fields of industry for storing granular materials and generally classified in two types: mass flow and funnel flow. One of the most important design parameter of these equipment is the discharge rate which depends on the flow mode. There are high numbers of analytical and empirical models used for determine this parameter, however none of them is suitable for both flow modes; moreover the accuracy of mass flow models is not acceptable. Recently a few numerical discharge models are made for certain geometries; but the applicability of these models in case of different flow modes was not examined. Aim of our work is the creation of an experimentally validated numerical discharge model based on others work and examination of this in term of different flow modes. We prove that our modified model is suitable for determine silos discharge rate independently from flow mode.

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Application of Particle Image Velocimetry for velocity measurements during silo discharge

Cited by 35 publications

References 3 publications

Classification of Annular Bed Flow Patterns and Investigation on Their Influence on the Bottom Spray Fluid Bed Coating Process

Classification of Annular Bed Flow Patterns and Investigation on Their Influence on the Bottom Spray Fluid Bed Coating Process

Experimental observations on the different mechanisms for solid ejection in gas-fluidized beds

Extension of silo discharge model based on discrete element method

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