Time series analysis of a binary gas-solid conical fluidized bed using radioactive particle tracking (RPT) technique data

Kalo, Lipika; Pant, H.J.; Cassanello, Miryan; Upadhyay, R. K.

doi:10.1016/j.cej.2018.08.193

Cited by 26 publications

(29 citation statements)

References 46 publications

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“…) or fail to provide accurate time resolved measurements [110][111][112]. As a response to these limitations of optical probes, in the mFReael, The information obtained by this technique is essential for the local validation of mathematical models.…”

Section: Two-tip Optical Fiber Probe (Ttof)mentioning

confidence: 99%

“…Optical fiber sensors have been extensively used in experimental studies of gas-solid fluidized systems over the last decades [7,106,108,109]. Nevertheless, commonly, these sensors cannot simultaneously measure the solids holdup and velocities, show blind regions (their overall size is large and becomes highly invasive D probe ∼ 2 cm ) or fail to provide accurate time resolved measurements [110][111][112]. As a response to these limitations of optical probes, in the mFReael, we developed a new Two-Tip Optical Fiber (TTOF) probe, which allowed simultaneous measurements of solids holdup and particles velocities, as well as other derived key hydrodynamic parameters, such as bubble rise velocity, bubble frequency and bubble chord length [20], along with a new simple and reliable calibration method for solids holdup and solids velocity [113].…”

Section: Two-tip Optical Fiber Probe (Ttof)mentioning

confidence: 99%

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Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview

Uribe

Al‐Dahhan

2021

Processes

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Modeling of gas-solid fluidized systems has been a prevailing challenge over the last few decades. With different approaches and implementing different sub-models to capture the essential multiphase and multiscale phenomena in these systems, major advances have been achieved, even though most models are only subject to a practical validation of macroscopic parameters. The current description of fluidized beds through mathematical models relies on the inclusion of vast sub-models, leading to an unquantifiable degree of uncertainty on the models’ applicability for extrapolation studies. Furthermore, each closure and fitting parameter in the model represents a possible source of deviation, and their optimization, hence, becomes another major challenge. The recent advances in measurement techniques can enable us to troubleshoot and optimize the implemented models and sub-models based on local scale measurements. Local multiphase hydrodynamic information obtained by advanced measurement techniques can enable the validation of local predictions and optimization of the coupled sub-models, leading to the development of simplified and highly predictive models. Thus, pairing advanced experimental studies on these systems with insightful modeling approaches is required to advance the shortcoming and enhance the predictive quality of the models. In this work, an overview of the status of modeling and experimental measurement techniques for gas-solid fluidized beds is presented; then, an overview on pairing both experimental and modeling studies to improve the models’ local predictions for fluidized beds is presented.

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Section: Two-tip Optical Fiber Probe (Ttof)mentioning

confidence: 99%

Section: Two-tip Optical Fiber Probe (Ttof)mentioning

confidence: 99%

Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview

Uribe

Al‐Dahhan

2021

Processes

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“…One of the most common methods to identify the different flow regimes in FBs is the analysis of standard deviations [9,12,[26][27][28]. In this method, the standard deviation of a timewise sampled metric at different superficial gas inlet velocities is estimated.…”

Section: Statistical Analysis (Standard Deviation)mentioning

confidence: 99%

“…Several other works found in the literature regarding the application of different experimental and analysis techniques can be highlighted. Kalo et al [9] studied the flow regime in a conical gas-solid fluidized bed using mono and binary solid particles. The flow regimes were identified using the Kolmogorov entropy approach applied to the time series of radioactive particle tracking (RPT) technique data.…”

Section: Introductionmentioning

confidence: 99%

Flow Regimes in Gas‐Solid Fluidized Beds via Micro‐Foil Heat Flux Sensor

2021

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The flow regime transitions in a gas-solid fluidized bed were studied for the first time using a micro-foil heat flux sensor. The time series of heat flux signals was analyzed by statistical and state space methods. The experimental measurements were performed in a lab-scale gas-solid fluidization column. Four different flow regimes, i.e., fixed-bed flow regime, bubbling-flow regime, slugging-flow regime, and turbulent-flow regime, and three intermediate transition velocities, i.e., minimum fluidizing velocity or minimum bubbling velocity, minimum slugging velocity, and minimum turbulent velocity, were successfully identified. The method based on the analysis of heat flux sensor measurements allowed to determine accurately the different flow regimes and the transition velocities.

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“…The scale-up of multiphase flow reactors is still a challenging task mainly because of the complex interactions involved at different length and time scales in these reactors. In our previous work, we established that in both monodispersed and binary dispersed gas–solid conical fluidized beds, phenomena occur at different length scales . Further depending upon operating conditions and the bed composition (in case of a binary bed), the interaction mechanism changes from fluid–solid (at the bottom section of the conical bed) to solid–solid (at the middle and top section of the bed) dominating interactions.…”

Section: Introductionmentioning

confidence: 98%

Validation of the Glicksman Scaling Law for Gas–Solid Conical Fluidized Beds Using the Radioactive Particle Tracking Technique

Kalo

Pant

Upadhyay

2020

Ind. Eng. Chem. Res.

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In the current work, the scale-up study was performed for gas− solid conical fluidized beds using the radioactive particle tracking technique. Two sets of Glicksman scaling laws were used: the inertial limit set and the simplified set. The hydrodynamic parameters such as mean velocity, root mean square velocity, and granular temperature were calculated from RPT data. Furthermore, the Hurst exponent, autocorrelation functions, Kolmogorov entropy, and correlation dimension were also obtained. The results for all the cases were compared to confirm the equality using both the scaling laws. The results showed that the column, when scaled up using the Glicksman inertial limit set, was able to match most of the flow quantities both qualitatively and quantitatively. The match of the Kolmogorov entropy and correlation dimension for the inertial limit set indicated a dynamic similarity between the two different diameter columns. Hence, the present work recommends the use of the Glicksman inertial limit set for scale-up of the gas−solid conical fluidized bed.

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Time series analysis of a binary gas-solid conical fluidized bed using radioactive particle tracking (RPT) technique data

Cited by 26 publications

References 46 publications

Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview

Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview

Flow Regimes in Gas‐Solid Fluidized Beds via Micro‐Foil Heat Flux Sensor

Validation of the Glicksman Scaling Law for Gas–Solid Conical Fluidized Beds Using the Radioactive Particle Tracking Technique

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