Hochschulschrift
Sliding Friction and Wear of Polyphenylene Sulfide Matrix Composites: Experimental and Artificial Neural Network Approach
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Kaiserslautern, Technische Universität Kaiserslautern, Dissertation, 2010
- Erschienen in
-
IVW-Schriftenreihe ; 92
- Ereignis
-
Veröffentlichung
- (wo)
-
Kaiserslautern
- (wer)
-
Technische Universität Kaiserslautern
- (wann)
-
2017
- Urheber
- Beteiligte Personen und Organisationen
-
Friedrich, Klaus
- URN
-
urn:nbn:de:hbz:386-kluedo-47178
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:42 MEZ
Datenpartner
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Objekttyp
- Hochschulschrift
Beteiligte
- Gyurova, Lada Antonova
- Friedrich, Klaus
- Technische Universität Kaiserslautern
Entstanden
- 2017
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