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Machine Learning-Based Dynamic Modeling of Ball Joint Friction for Real-Time Applications

; ; ; ;

In
New Horizons in Machine Learning Applications for Tribology / Special Issue Editors: Prof. Dr. Max Marian, Guest Editor; Prof. Dr. Stephan Tremmel, Guest Editor

In
Lubricants : open access journal 13(10), Seiten/Artikel-Nr.:436

ImpressumBasel : MDPI

Umfang[1]-38

ISSN2075-4442

Online
DOI: 10.3390/lubricants13100436

DOI: 10.18154/RWTH-2025-09518
URL: https://publications.rwth-aachen.de/record/1021169/files/1021169.pdf

Einrichtungen

  1. Lehrstuhl und Institut für Getriebetechnik, Maschinendynamik und Robotik (411910)


Thematische Einordnung (Klassifikation)
DDC: 530

OpenAccess:
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Dokumenttyp
Journal Article/Contribution to a book

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105020059877
WOS Core Collection: WOS:001603048500001

Interne Identnummern
RWTH-2025-09518
Datensatz-ID: 1021169

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO


Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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Document types > Books > Contributions to a book
Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
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411910

 Record created 2025-11-11, last modified 2025-11-12


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