Monte Carlo real coded genetic algorithm (MC-RGA) for radioactive particle tracking (RPT) experimentation

AIChE Journal ◽  
2017 ◽  
Vol 63 (7) ◽  
pp. 2850-2863 ◽  
Author(s):  
Ashutosh Yadav ◽  
Manojkumar Ramteke ◽  
Harish Jagat Pant ◽  
Shantanu Roy
Keyword(s):  
Genetic Algorithm ◽  
Monte Carlo ◽  
Particle Tracking ◽  
Radioactive Particle Tracking ◽  
Radioactive Particle ◽  
Real Coded Genetic Algorithm

Scale Effects on Fluidized Bed Hydrodynamics

2005 ◽  
Vol 3 (1) ◽  
Author(s):  
Rachid Mabrouk ◽  
Ramin Radmanesh ◽  
Jamal Chaouki ◽  
Christophe Guy
Keyword(s):  
Fluidized Bed ◽  
Particle Tracking ◽  
Fluidized Beds ◽  
Fiber Optic ◽  
Scale Effects ◽  
Scale Up ◽  
Radial Profile ◽  
Radioactive Particle Tracking ◽  
Industrial History ◽  
Radioactive Particle

Industrial history is full of events related to scale-up challenges. Failure at the scale-up stage is no longer surprising. Engineers and scientists have been trying to gather all the key parameters for decades, but, unfortunately, there are still no exact and well-established rules ensuring an accurate transition from one scale to another. Even the minimum lab-scale fluidized bed is still undefined.In this work, the effect of bed diameter on gas-solid behavior is investigated in three fluidized beds, 152mm, 78mm, and 50mm in diameter, in which the conventional scale-up rules are respected. The experiments were carried out using sand and alumina particles.The results were obtained and confirmed using fiber optic techniques and radioactive particle tracking, respectively. The results show that radial solid hold-up behavior on a small bed diameter scale is completely different from that on the intermediate bed diameter scale. The radial profile of solid hold-up on a small and very small bed diameter indicates an increase from a low value near the wall to a high value at the center at different heights from the distributor. By contrast, the opposite profile is observed on the intermediate bed diameter, similar to what is usually reported in the literature.

Methods of preparation of microparticles for radioactive particle tracking experiments

2021 ◽  
Vol 168 ◽  
pp. 109380
Author(s):  
Jayashree Biswal ◽  
Sunil Goswami ◽  
Rajesh Kumar Upadhyay ◽  
Harish Jagat Pant
Keyword(s):  
Particle Tracking ◽  
Radioactive Particle Tracking ◽  
Radioactive Particle

Machine learning based position‐rendering algorithms for radioactive particle tracking experimentation

AIChE Journal ◽  
2020 ◽  
Vol 66 (6) ◽  
Author(s):  
Ashutosh Yadav ◽  
Tuntun Kumar Gaurav ◽  
Harish J. Pant ◽  
Shantanu Roy
Keyword(s):  
Machine Learning ◽  
Particle Tracking ◽  
Radioactive Particle Tracking ◽  
Radioactive Particle
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