Analysis of the effect of particle size and residence time distributions on heat or mass transfer with linear source in particulate systems

1968 ◽  
Vol 23 (6) ◽  
pp. 631-643 ◽  
Author(s):  
Lakshminarasimha Padmanabhan ◽  
Benjamin Gal-Or
2017 ◽  
Vol 321 ◽  
pp. 635-641
Author(s):  
Daniel Sellin ◽  
Robert Hiessl ◽  
Melanie Bothe ◽  
Jens Timmermann ◽  
Marc Becker ◽  
...  

2020 ◽  
Author(s):  
Anindityo Patmonoaji ◽  
Yingxue Hu ◽  
Chunwei Zhang ◽  
Kento Tsuji ◽  
Tetsuya Suekane

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 916
Author(s):  
Juan S. Gómez Bonilla ◽  
Laura Unger ◽  
Jochen Schmidt ◽  
Wolfgang Peukert ◽  
Andreas Bück

Polypropylene (PP) powders are rounded at different conditions in a downer reactor with direct heating. The particles are fed through a single central tube, while the preheated sheath gas is fed coaxially surrounding the central aerosol jet. The influence of the process parameters on the quality of the powder product in terms of particle shape and size is analyzed by correlating the experimental results with the flow pattern, residence time distribution of the particles and temperature distribution predicted by computational fluid dynamics (CFD) simulations. An Eulerian–Lagrangian numerical approach is used to capture the effect of the particle size distribution on the particle dynamics and the degree of rounding. The simulation results reveal that inlet effects lead to inhomogeneous particle radial distributions along the total length of the downer. The configuration of particle/gas injection also leads to fast dispersion of the particles in direction of the wall and to particle segregation by size. Broad particle residence time distributions are obtained due to broad particle size distribution of the powders and the particles dispersion towards the wall. Lower mass flow ratios of aerosol to sheath gas are useful to reduce the particle dispersion and produce more homogenous residence time distributions. The particles’ residence time at temperatures above the polymer’s melting onset is determined from the simulations. This time accounts for the effective treatment (rounding) time of the particles. Clear correlations are observed between the numerically determined effective rounding time distributions and the progress of shape modification on the particles determined experimentally.


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