Details
| Original language | English |
|---|---|
| Article number | 111250 |
| Journal | Journal of food engineering |
| Volume | 338 |
| Early online date | 20 Aug 2022 |
| Publication status | Published - Feb 2023 |
Abstract
In this paper, three kinds of wall conditions are numerically simulated to investigate deposition, powder recovery and energy aspects of spray dryers. A co-current dryer with a pressure nozzle is chosen as a base dryer and two dryers with fully insulated, and cooled walls are compared with the base one. Governing equations of a transient flow field are solved through the Eulerian approach, while Lagrangian particle tracking predicts particles’ motion. The sticky point curve is employed as a criterion of bouncing or stickiness to model the deposition pattern of skim milk particles on the surfaces. Results show that the spray dryer with cooled walls has better deposition characteristics, while the dryer with insulated surfaces works with higher drying efficiency. Overall, it is observed that the wall conditions can be changed to improve the drying efficiency and wall deposition. However, changing the thermal boundary conditions does not seem to be effective in improving the powder recovery.
Keywords
- CFD simulation, Deposition, Energy performance, Skim milk, Spray drying, Sticky point curve
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Food Science
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In: Journal of food engineering, Vol. 338, 111250, 02.2023.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Effects of thermal boundary conditions on the performance of spray dryers
AU - Moradi Maryamnegari, Sara
AU - Ashrafizadeh, Ali
AU - Baake, Egbert
AU - Guglielmi, Mattia
PY - 2023/2
Y1 - 2023/2
N2 - In this paper, three kinds of wall conditions are numerically simulated to investigate deposition, powder recovery and energy aspects of spray dryers. A co-current dryer with a pressure nozzle is chosen as a base dryer and two dryers with fully insulated, and cooled walls are compared with the base one. Governing equations of a transient flow field are solved through the Eulerian approach, while Lagrangian particle tracking predicts particles’ motion. The sticky point curve is employed as a criterion of bouncing or stickiness to model the deposition pattern of skim milk particles on the surfaces. Results show that the spray dryer with cooled walls has better deposition characteristics, while the dryer with insulated surfaces works with higher drying efficiency. Overall, it is observed that the wall conditions can be changed to improve the drying efficiency and wall deposition. However, changing the thermal boundary conditions does not seem to be effective in improving the powder recovery.
AB - In this paper, three kinds of wall conditions are numerically simulated to investigate deposition, powder recovery and energy aspects of spray dryers. A co-current dryer with a pressure nozzle is chosen as a base dryer and two dryers with fully insulated, and cooled walls are compared with the base one. Governing equations of a transient flow field are solved through the Eulerian approach, while Lagrangian particle tracking predicts particles’ motion. The sticky point curve is employed as a criterion of bouncing or stickiness to model the deposition pattern of skim milk particles on the surfaces. Results show that the spray dryer with cooled walls has better deposition characteristics, while the dryer with insulated surfaces works with higher drying efficiency. Overall, it is observed that the wall conditions can be changed to improve the drying efficiency and wall deposition. However, changing the thermal boundary conditions does not seem to be effective in improving the powder recovery.
KW - CFD simulation
KW - Deposition
KW - Energy performance
KW - Skim milk
KW - Spray drying
KW - Sticky point curve
U2 - 10.1016/j.jfoodeng.2022.111250
DO - 10.1016/j.jfoodeng.2022.111250
M3 - Article
AN - SCOPUS:85136592273
VL - 338
JO - Journal of food engineering
JF - Journal of food engineering
SN - 0260-8774
M1 - 111250
ER -