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A region-segmentation combinational loss model based on data-driven machine learning for a boundary layer ingestion fan

; ; ; ; ;

In
Aerospace science and technology 144, Seiten/Artikel-Nr.:108780

ImpressumAmsterdam [u.a.] : Elsevier Science

Umfang[1]-21

ISSN1626-3219

Received 9 May 2023, Revised 23 October 2023, Accepted 24 November 2023, Available online 30 November 2023

Online
DOI: 10.1016/j.ast.2023.108780


Einrichtungen

  1. Lehrstuhl für Strömungslehre und Aerodynamisches Institut (415110)


Thematische Einordnung (Klassifikation)
DDC: 620


Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85179132271
WOS Core Collection: WOS:001139033300001

Interne Identnummern
RWTH-2024-01165
Datensatz-ID: 978253

Beteiligte Länder
Germany, Peoples R China

Lizenzstatus der Zeitschrift

 GO

Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
415110
 Record created 2024-02-05, last modified 2025-11-06
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