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A Data-Driven Method for the Derivation of Explicit Algebraic Reynolds Stress Models Applied to the Wake Losses of Low-Pressure Turbine Cascades
; ; ;
In
Journal of turbomachinery 147(6), Seiten/Artikel-Nr.:061007
2025 & 2024
Published Online: November 22, 2024
Online
DOI: 10.1115/1.4067032
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 600
Dokumenttyp
Journal Article
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85217804731
Interne Identnummern
RWTH-2024-11030
Datensatz-ID: 997069
Beteiligte Länder
Germany
Related:
Contribution to a book/Contribution to a conference proceedings
A Data Driven Method for the Derivation of Explicit Algebraic Reynolds Stress Models Applied to the Wake Losses of Low-Pressure Turbine Cascades
Proceedings of ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition (GT2024) : June 24-28, 2024, London, United Kingdom / conference sponsor: International Gas Turbine Institute ; the American Society of Mechanical Engineers. - Volume 12: Turbomachinery C: Design methods and CFD modeling for turbomachinery; ducts, noise and component interactions
ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition, GT 2024, LondonLondon, UK, 24 Jun 2024 - 28 Jun 2024
Little Falls, NJ, USA : the American Society of Mechanical Engineers GT2024-121023, V12CT32A001, 14 Seiten (2024) [10.1115/GT2024-121023]
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; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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