Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 755-762 |
| Seitenumfang | 8 |
| Fachzeitschrift | International Journal of Heat and Technology |
| Jahrgang | 39 |
| Ausgabenummer | 3 |
| Publikationsstatus | Veröffentlicht - 30 Juni 2021 |
Abstract
Due to the increasing energy cost, the efficiency of the industrial dryer as the energy-intensive processes should be improved. The designer should optimize the design parameters of industrial drying equipment to achieve the minimum drying energy consumption. SST k-ω turbulence model is used to simulate a real geometry for industrial drying applications. For the optimization of the impinging round jet, the specific drying energy consumption is set as the objective function to be minimized. The jet to surface distance, jet to jet spacing, jet inlet velocity, jet angle, and surface velocity are chosen as the design parameters. The SHERPA search algorithm is used to search for the optimal point from the weighted sum of all objectives method. One correlation is developed and validated for the specific drying energy consumption. It is found that the SST k-ω turbulence model succeeded with reasonable accuracy in reproducing the experimental results. The minimum specific energy consumption correlates with high values of the jet to jet spacing, jet angle, and surface velocity and low values of the nozzle to surface distance and jet inlet velocity. The agreement in the prediction of the specific drying energy consumption between the numerical simulation and correlation is found to be reasonable and all the data points deviate from the correlation by less than 7%.
ASJC Scopus Sachgebiete
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Ingenieurwesen (insg.)
- Maschinenbau
- Chemische Verfahrenstechnik (insg.)
- Fließ- und Transferprozesse von Flüssigkeiten
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in: International Journal of Heat and Technology, Jahrgang 39, Nr. 3, 30.06.2021, S. 755-762.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Numerical optimization of drying energy consumption from multiple jets impinging on a moving curved surface
AU - Chitsazan, Ali
AU - Klepp, Georg
AU - Glasmacher, Birgit
AU - Pour, Kamyar Mohammad
PY - 2021/6/30
Y1 - 2021/6/30
N2 - Due to the increasing energy cost, the efficiency of the industrial dryer as the energy-intensive processes should be improved. The designer should optimize the design parameters of industrial drying equipment to achieve the minimum drying energy consumption. SST k-ω turbulence model is used to simulate a real geometry for industrial drying applications. For the optimization of the impinging round jet, the specific drying energy consumption is set as the objective function to be minimized. The jet to surface distance, jet to jet spacing, jet inlet velocity, jet angle, and surface velocity are chosen as the design parameters. The SHERPA search algorithm is used to search for the optimal point from the weighted sum of all objectives method. One correlation is developed and validated for the specific drying energy consumption. It is found that the SST k-ω turbulence model succeeded with reasonable accuracy in reproducing the experimental results. The minimum specific energy consumption correlates with high values of the jet to jet spacing, jet angle, and surface velocity and low values of the nozzle to surface distance and jet inlet velocity. The agreement in the prediction of the specific drying energy consumption between the numerical simulation and correlation is found to be reasonable and all the data points deviate from the correlation by less than 7%.
AB - Due to the increasing energy cost, the efficiency of the industrial dryer as the energy-intensive processes should be improved. The designer should optimize the design parameters of industrial drying equipment to achieve the minimum drying energy consumption. SST k-ω turbulence model is used to simulate a real geometry for industrial drying applications. For the optimization of the impinging round jet, the specific drying energy consumption is set as the objective function to be minimized. The jet to surface distance, jet to jet spacing, jet inlet velocity, jet angle, and surface velocity are chosen as the design parameters. The SHERPA search algorithm is used to search for the optimal point from the weighted sum of all objectives method. One correlation is developed and validated for the specific drying energy consumption. It is found that the SST k-ω turbulence model succeeded with reasonable accuracy in reproducing the experimental results. The minimum specific energy consumption correlates with high values of the jet to jet spacing, jet angle, and surface velocity and low values of the nozzle to surface distance and jet inlet velocity. The agreement in the prediction of the specific drying energy consumption between the numerical simulation and correlation is found to be reasonable and all the data points deviate from the correlation by less than 7%.
KW - CFD
KW - Drying energy consumption
KW - Multiple jets
KW - Optimization
KW - Surface curvature
KW - Surface motion
UR - http://www.scopus.com/inward/record.url?scp=85111590894&partnerID=8YFLogxK
U2 - 10.18280/ijht.390309
DO - 10.18280/ijht.390309
M3 - Article
AN - SCOPUS:85111590894
VL - 39
SP - 755
EP - 762
JO - International Journal of Heat and Technology
JF - International Journal of Heat and Technology
SN - 0392-8764
IS - 3
ER -