On the particle formation in spray drying process for bio-pharmaceutical applications: Interrogating a new model via computational fluid dynamics

2018 ◽  
Vol 122 ◽  
pp. 863-876 ◽  
Author(s):  
Sadegh Poozesh ◽  
Kun Lu ◽  
Patrick J. Marsac
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Spray Drying ◽  
Particle Formation ◽  
Drying Process ◽  
New Model ◽  
Pharmaceutical Applications

SIMULATION OF SPRAY DRYING IN SUPERHEATED STEAM USING COMPUTATIONAL FLUID DYNAMICS

1999 ◽  
Vol 17 (7-8) ◽  
pp. 1313-1326 ◽  
Author(s):  
A. Frydman ◽  
J. Vasseur ◽  
F. Ducept ◽  
M. Sionneau ◽  
J. Moureh
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Spray Drying ◽  
Superheated Steam

Computational Fluid Dynamics in Drying Process Modelling—a Technical Review

2017 ◽  
Vol 11 (2) ◽  
pp. 271-292 ◽  
Author(s):  
Rani Puthukulangara Ramachandran ◽  
Mohsen Akbarzadeh ◽  
Jitendra Paliwal ◽  
Stefan Cenkowski
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Process Modelling ◽  
Drying Process ◽  
Technical Review

Modeling of particle formation by spray drying process

1997 ◽  
Vol 28 ◽  
pp. S477-S478 ◽  
Author(s):  
Jui-Chen Lin ◽  
James W. Gentry
Keyword(s):  
Spray Drying ◽  
Particle Formation ◽  
Drying Process

scholarly journals SIMULATION OF COFFEE DRYING USING COMPUTATIONAL FLUID DYNAMICS

2018 ◽  
Vol 13 (4) ◽  
pp. 477
Author(s):  
Rudney Amaral ◽  
Ednilton Tavares Andrade ◽  
Francisco Carlos Gomes ◽  
Flávio Meira Borém ◽  
Isabella Lemos ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Moisture Content ◽  
Water Distribution ◽  
Effective Diffusivity ◽  
Exponential Model ◽  
Projection Area ◽  
Diffusivity Coefficient ◽  
Drying Process ◽  
Best Fit

<p>Drying is a fundamental step in post-harvest handling of coffee because moisture content at the end of drying affects several important aspects, such as sensory quality, storability, and color. Within this context, the aim of this study is to determine water distribution within the natural coffee fruit during and at the end of the drying process. For that purpose, simulations were made through finite elements using computational fluid dynamics. Experimental data on moisture content of coffee fruitin the “cherry” stage were collected during drying, which was carried out at a temperature of 40°C and relative humidity of 25% to 0.18 decimal(dry basis – d.b.)to compare the results of the experiment with the results of the simulations. Ten mathematical models of the drying process were developed for the collected data. The two-term exponential model best fit the data. The results of the simulations in computational fluid dynamics were compared to the results from experimental drying, and a satisfactory fit was obtained. The effective diffusivity coefficient (D<sub>eff</sub>) was developed for the model, obtaining the value of 2.87 x 10<sup>‑11</sup> m<sup>2</sup> s<sup>-1</sup>. At the end of drying, the model exhibited 57.1% of the projection area of the coffee fruit with moisture content below 0.18 decimal (d.b.). Thus, the model can be used for other applications.</p>

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