Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 17 |
| Fachzeitschrift | American Journal of Case Reports |
| Jahrgang | 18 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 2022 |
Abstract
For the optimization of the impinging round jet, the pressure force coefficient and drying energy consumption on the moving curved surface are set as the objective functions to be minimized simultaneously. SHERPA search algorithm is used to search for the optimal point from multiple objective tradeoff study (Pareto Front) method. It is found that the pressure force coefficient on the impingement surface is highly dependent on the jet to surface distance and jet angle, while the drying energy consumption is highly dependent on the jet to jet spacing. Generally, the best design study during the multi-objective optimization is found at the maximum jet to surface distance, jet to jet spacing and surface velocity, and also minimum inlet velocity and jet angle.
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in: American Journal of Case Reports, Jahrgang 18, Nr. 1, 17, 2022.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Multi-Objective Optimization of drying Energy Consumption and Jet Impingement Force on a moving curved Surface
AU - Chitsazan, Ali
AU - Klepp, Georg
AU - Chitsazan, Mohammad Esmaeil
AU - Glasmacher, Birgit
PY - 2022
Y1 - 2022
N2 - For the optimization of the impinging round jet, the pressure force coefficient and drying energy consumption on the moving curved surface are set as the objective functions to be minimized simultaneously. SHERPA search algorithm is used to search for the optimal point from multiple objective tradeoff study (Pareto Front) method. It is found that the pressure force coefficient on the impingement surface is highly dependent on the jet to surface distance and jet angle, while the drying energy consumption is highly dependent on the jet to jet spacing. Generally, the best design study during the multi-objective optimization is found at the maximum jet to surface distance, jet to jet spacing and surface velocity, and also minimum inlet velocity and jet angle.
AB - For the optimization of the impinging round jet, the pressure force coefficient and drying energy consumption on the moving curved surface are set as the objective functions to be minimized simultaneously. SHERPA search algorithm is used to search for the optimal point from multiple objective tradeoff study (Pareto Front) method. It is found that the pressure force coefficient on the impingement surface is highly dependent on the jet to surface distance and jet angle, while the drying energy consumption is highly dependent on the jet to jet spacing. Generally, the best design study during the multi-objective optimization is found at the maximum jet to surface distance, jet to jet spacing and surface velocity, and also minimum inlet velocity and jet angle.
KW - Energy consumption
KW - Heat transfer
KW - Multiple jets
KW - Optimization
KW - Pressure force
UR - http://www.scopus.com/inward/record.url?scp=85128714481&partnerID=8YFLogxK
U2 - 10.5098/HMT.18.17
DO - 10.5098/HMT.18.17
M3 - Article
AN - SCOPUS:85128714481
VL - 18
JO - American Journal of Case Reports
JF - American Journal of Case Reports
IS - 1
M1 - 17
ER -