Active boundary layer control in linear cascades using CFD and artificial neural networks
Само за регистроване кориснике
2014
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Flow field in linear cascades under high subsonic/transonic conditions has been investigated numerically. Active boundary layer control was employed in the form of sources (jets) distributed across the upper surface of the profile in a cascade. The main goal of this analysis was to evaluate the possible increase in aerodynamic performance of the cascades and define the optimal combination of jets' parameters for each operating regime. The performed analyses were 20, viscous and compressible. A 4-equation transition turbulence model was used to close the set of equations describing the fluid flow. Artificial neural networks were investigated as a means to decrease the total computation time by providing a prediction of the cascade performance for a specific regime. Results obtained by neural networks of three different architectures are presented and discussed.
Кључне речи:
URANS / Linear cascade / CFD / ANN / Active flow controlИзвор:
Aerospace Science and Technology, 2014, 39, 243-249Издавач:
- Elsevier France-Editions Scientifiques Medicales Elsevier, Issy-Les-Moulineaux
Финансирање / пројекти:
- Истраживање и развој савремених приступа пројектовања композитних лопатица ротора високих перформанси (RS-MESTD-Technological Development (TD or TR)-35035)
DOI: 10.1016/j.ast.2014.09.010
ISSN: 1270-9638
WoS: 000347743100024
Scopus: 2-s2.0-84908328323
Институција/група
Inovacioni centarTY - JOUR AU - Svorcan, Jelena AU - Stupar, Slobodan AU - Trivković, Srđan AU - Petrašinović, Nikola AU - Ivanov, Toni PY - 2014 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1852 AB - Flow field in linear cascades under high subsonic/transonic conditions has been investigated numerically. Active boundary layer control was employed in the form of sources (jets) distributed across the upper surface of the profile in a cascade. The main goal of this analysis was to evaluate the possible increase in aerodynamic performance of the cascades and define the optimal combination of jets' parameters for each operating regime. The performed analyses were 20, viscous and compressible. A 4-equation transition turbulence model was used to close the set of equations describing the fluid flow. Artificial neural networks were investigated as a means to decrease the total computation time by providing a prediction of the cascade performance for a specific regime. Results obtained by neural networks of three different architectures are presented and discussed. PB - Elsevier France-Editions Scientifiques Medicales Elsevier, Issy-Les-Moulineaux T2 - Aerospace Science and Technology T1 - Active boundary layer control in linear cascades using CFD and artificial neural networks EP - 249 SP - 243 VL - 39 DO - 10.1016/j.ast.2014.09.010 ER -
@article{ author = "Svorcan, Jelena and Stupar, Slobodan and Trivković, Srđan and Petrašinović, Nikola and Ivanov, Toni", year = "2014", abstract = "Flow field in linear cascades under high subsonic/transonic conditions has been investigated numerically. Active boundary layer control was employed in the form of sources (jets) distributed across the upper surface of the profile in a cascade. The main goal of this analysis was to evaluate the possible increase in aerodynamic performance of the cascades and define the optimal combination of jets' parameters for each operating regime. The performed analyses were 20, viscous and compressible. A 4-equation transition turbulence model was used to close the set of equations describing the fluid flow. Artificial neural networks were investigated as a means to decrease the total computation time by providing a prediction of the cascade performance for a specific regime. Results obtained by neural networks of three different architectures are presented and discussed.", publisher = "Elsevier France-Editions Scientifiques Medicales Elsevier, Issy-Les-Moulineaux", journal = "Aerospace Science and Technology", title = "Active boundary layer control in linear cascades using CFD and artificial neural networks", pages = "249-243", volume = "39", doi = "10.1016/j.ast.2014.09.010" }
Svorcan, J., Stupar, S., Trivković, S., Petrašinović, N.,& Ivanov, T.. (2014). Active boundary layer control in linear cascades using CFD and artificial neural networks. in Aerospace Science and Technology Elsevier France-Editions Scientifiques Medicales Elsevier, Issy-Les-Moulineaux., 39, 243-249. https://doi.org/10.1016/j.ast.2014.09.010
Svorcan J, Stupar S, Trivković S, Petrašinović N, Ivanov T. Active boundary layer control in linear cascades using CFD and artificial neural networks. in Aerospace Science and Technology. 2014;39:243-249. doi:10.1016/j.ast.2014.09.010 .
Svorcan, Jelena, Stupar, Slobodan, Trivković, Srđan, Petrašinović, Nikola, Ivanov, Toni, "Active boundary layer control in linear cascades using CFD and artificial neural networks" in Aerospace Science and Technology, 39 (2014):243-249, https://doi.org/10.1016/j.ast.2014.09.010 . .