Development and validation of a novel Digital Image Analysis method for fluidized bed Particle Image Velocimetry

Jong, de T.; Odu, SO; Buijtenen, van Maureen; Deen, NG Niels; Annaland, van M Martin Sint; Kuipers, J.A.M.

doi:10.1016/j.powtec.2012.07.029

Cited by 53 publications

(55 citation statements)

References 10 publications

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“…These results were compared with the results of different PIV DIA techniques applied over the same 2D flu idized bed to characterize the solids flux. de Jong et al [23] concluded that the error committed for all PIV DIA methods described in the article in comparison with DPM was between 9.5% and 25.5%. In this work, the error committed between the experimental circulation time (based on a DIA PIV technique) and the circulation time calculated with the pro posed estimation (depending on the operating parameters and the bub ble phase properties) has a minimum value of 1.2% and a maximum value of 27%.…”

Section: Estimation Of the Circulation Timementioning

confidence: 99%

“…The last column shows the relative error for each case, er abs t c;est −t c =t c . de Jong et al [23] have used the Dis crete Particle Model (DPM) for the characterization of the particle move ment in an artificial 2D fluidized bed. These results were compared with the results of different PIV DIA techniques applied over the same 2D flu idized bed to characterize the solids flux.…”

Section: Estimation Of the Circulation Timementioning

confidence: 99%

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Estimation and experimental validation of the circulation time in a 2D gas–solid fluidized beds

et al. 2013

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Abstract:The circulation time is defined as the time required for a group of particles to reach the freeboard from the bottom of a fluidized bed and return to their original height. This work presents an estimation and validation of the circulation time in a 2D gas solid bubbling fluidized bed under different operating conditions. The circulation time is based on the concept of the turnover time, which was previously defined by Geldart [1] as the time required to turn the bed over once. The equation t c,est = 2 Ah′/Q b is used to calculate the circulation time, where A is the cross section of the fluidized bed, h′ is the effective fluidized bed height and Q b is the visible bubble flow. The estimation of the circulation time is based on the operating parameters and the bub ble phase properties, including the bubble diameter, bubble velocity and bed expansion. The experiments for the validation were carried out in a 2D bubbling fluidized bed. The dense phase velocity was measured with a high speed camera and non intrusive techniques such as particle image velocimetry (PIV) and digital image analysis (DIA), and the experimental circulation time was calculated for all cases. The agreement between the theoretical and experimental circulation times was satisfactory, and hence, the proposed estimation can be used to reliably predict the circulation time.

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Section: Estimation Of the Circulation Timementioning

confidence: 99%

Section: Estimation Of the Circulation Timementioning

confidence: 99%

Estimation and experimental validation of the circulation time in a 2D gas–solid fluidized beds

et al. 2013

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“…Such techniques discriminate gas bubbles from the emulsion phase by means of pixel intensity in the solids volume fraction distribution maps and have been widely reported in literature [2][3][4][5][6]. Applied to 3D simulations, the DIA algorithm detected bubble contours in 2D void fraction maps traced through the 3D bed center (Figure 4.a).…”

Section: Bubble Discriminationmentioning

confidence: 99%

“…Many efforts have done in the last five decades in this field, both experimentally and with the aid of computational models. Reported experimental works are mainly focused on the fluid dynamic analysis of pseudo-2D beds by optical techniques (basically Particle Image Velocimetry (PIV) and Digital Image Analysis (DIA)), which are normally preferred due to their non-intrusiveness, ease of implementation and large amount of available data from visual access [2][3][4]. The main drawback of these techniques is the need of visual access.…”

Section: Introductionmentioning

confidence: 99%

Use of α -shapes for the measurement of 3D bubbles in fluidized beds from two-fluid model simulations

et al. 2016

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A geometrical technique based on shape construction was employed to reconstruct the simulated domain of 3D bubbles in a gas-solid fluidized bed, from Two-Fluid Model (TFM) simulations. The Delaunay triangulation of the cloud of points that represent volume fraction iso-surfaces in transient TFM simulations was filtered by means of the so-called α-shapes, allowing a topologically accurate description of 3D bubbles within a fluidized bed. Consequently, individual 3D bubble properties such as size and velocity were measured. Simulated bubble characteristics were further compared to those measured on pseudo-2D bed facilities by image techniques in order to illustrate the effect of the bed geometry on the bubbling behaviour under mimicked operational conditions.

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“…In this work a high resolution infra-red optical technique combined with Particle Image Velocimetry and Digital Image Analysis (PIV/DIA) has been applied to study fluid-particle heat transfer in gasfluidized beds. Experimental methods to study the hydrodynamics aspects of fluidized beds have been developed for years, such as Electrical Capacitance Tomography (ECT) [10] and X-ray tomography [11,12] and magnetic resonance particle tracking or positron emission particle tracking [13] and particle image velocimetry (PIV) [14,15]. Infrared tomography is also a mature and commonly used measurement technique [16], however, it is limited by the fact that infrared measurements can only be applied to measure the surface temperature of objects.…”

Section: Introductionmentioning

confidence: 99%

Experimental and simulation study of heat transfer in fluidized beds with heat production

Janssen

Buist

et al. 2017

Chemical Engineering Journal

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h i g h l i g h t sHeat production in a fluidized bed by CO 2 adsorption on Zeolite 13X. Combined infrared/visual camera (PIV-DIA-IR) technique for studying heat transfer. Extensive validation though a combined CFD-DEM model. Key aspects of adsorption process studied with TGA and STA. a r t i c l e i n f o b s t r a c tAs a result of highly exothermic reactions during gas-phase olefin polymerization in fluidized bed reactors, difficulties with respect to the heat management play an important role in the optimization of these reactors. To obtain a better understanding of the particle temperature distribution in fluidized beds, a high speed infrared (IR) camera and a visual camera have been coupled to capture the hydrodynamic and thermal behavior of a pseudo-2D fluidized bed. The experimental data were subsequently used to validate an in-house developed computational fluid dynamics and discrete element model (CFD-DEM). In order to mimic the heat effect due to the exothermic polymerization reaction, a model system was used. In this model system, heat is released in zeolite 13X particles (1.8-2.0 mm, Geldart D type) due to the adsorption of CO 2 . All key aspects of the adsorption process (kinetics, equilibrium and heat effect) were studied separately using Thermogravimetric Analysis (TGA) and Simultaneous Thermal Analysis (STA), and subsequently fluidized bed experiments were conducted, by feeding gas mixtures of CO 2 and N 2 with different CO 2 concentrations to the bed, where the total heat of liberation could be controlled. The combined infrared/visual camera technique generated detailed information on the thermal behavior of the bed. Furthermore, the comparison of the spatial and temporal distributions of the particle temperature measured in the fluidized bed with the simulation results of CFD-DEM provides qualitative and quantitative validation of the CFD-DEM, in particular concerning the thermal aspects.

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Development and validation of a novel Digital Image Analysis method for fluidized bed Particle Image Velocimetry

Cited by 53 publications

References 10 publications

Estimation and experimental validation of the circulation time in a 2D gas–solid fluidized beds

Estimation and experimental validation of the circulation time in a 2D gas–solid fluidized beds

Use of α -shapes for the measurement of 3D bubbles in fluidized beds from two-fluid model simulations

Experimental and simulation study of heat transfer in fluidized beds with heat production

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