Digital image analysis of gas bypassing and mixing in gas‐fluidized bed: <scp>Effect</scp> of particle shape

Abstract The study investigates effect of particle shape on gas bypassing and mixing of gas‐fluidized Geldart A particles. A shallow fluidized bed (FB), configured at benchscale, was used with digital image analysis (DIA) for the investigation. The extent of scatter of tracer particles throughout the bed was assessed from DIA images of defluidized powder. A novel method employing Jupyter notebook software, was used to directly determine Mixing Index from digital images. Remarkably, platelet‐shaped China clay powder displayed the best mixing characteristics (Mixing Index: 0.79) with no significant bypassing. Angular shaped Quartz displayed moderate mixing (Mixing Index: 0.67), but high bypassing (Bypassing Index: 0.75). Contrary to conventional assumptions, spherical‐shaped diatomite exhibited poor mixing (Mixing Index: 0.61) with the highest bypassing (Bypassing Index: 0.82). Platelet particles performed well even with fines removal. Most likely, particle shape significantly influenced the number of available particle contact points, tracer migration, and traceronparticle binding.

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Publication Details

Journal
AIChE Journal
Published
2024-10-25
DOI
https://doi.org/10.1002/aic.18633
Citations
2
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
0.75
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article

Digital image analysis of gas bypassing and mixing in gas‐fluidized bed: Effect of particle shape

Hare Krishna Mohanta, Priya C. Sande, Ajita Neogi, Navneet Goyal et al.
2 citations
AIChE Journal
Granular flow and fluidized beds
0.75
article

Digital image analysis of gas bypassing and mixing in gas‐fluidized bed: Effect of particle shape

Hare Krishna Mohanta, Priya C. Sande, Ajita Neogi, Navneet Goyal, Arvind Sharma, Sudeesh Chouhan
article en
2 citations

Abstract

Abstract The study investigates effect of particle shape on gas bypassing and mixing of gas‐fluidized Geldart A particles. A shallow fluidized bed (FB), configured at benchscale, was used with digital image analysis (DIA) for the investigation. The extent of scatter of tracer particles throughout the bed was assessed from DIA images of defluidized powder. A novel method employing Jupyter notebook software, was used to directly determine Mixing Index from digital images. Remarkably, platelet‐shaped China clay powder displayed the best mixing characteristics (Mixing Index: 0.79) with no significant bypassing. Angular shaped Quartz displayed moderate mixing (Mixing Index: 0.67), but high bypassing (Bypassing Index: 0.75). Contrary to conventional assumptions, spherical‐shaped diatomite exhibited poor mixing (Mixing Index: 0.61) with the highest bypassing (Bypassing Index: 0.82). Platelet particles performed well even with fines removal. Most likely, particle shape significantly influenced the number of available particle contact points, tracer migration, and traceronparticle binding.

AIChE JournalVol. 71(2)
Birla Institute of Technology and Science, Pilani (IN)
No poverty
Openalex Percentile: Top 32%
Granular flow and fluidized beds
0.75
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Digital image analysis of gas bypassing and mixing in gas‐fluidized bed: <scp>Effect</scp> of particle shape — Hare Krishna Mohanta, Priya C. Sande, et al. · AIChE Journal (2024) | TGRS Research Map | TGRS