A numerical-analytical approach to predict white and dark layer thickness of hard machining (Englisch)
- Neue Suche nach: Arfaoui, S.
- Neue Suche nach: Zemzemi, F.
- Neue Suche nach: Tourki, Z.
- Neue Suche nach: Arfaoui, S.
- Neue Suche nach: Zemzemi, F.
- Neue Suche nach: Tourki, Z.
In:
The International Journal of Advanced Manufacturing Technology
;
96
, 9-12
; 3355-3364
;
2018
-
ISSN:
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:A numerical-analytical approach to predict white and dark layer thickness of hard machining
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Beteiligte:
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Erschienen in:The International Journal of Advanced Manufacturing Technology ; 96, 9-12 ; 3355-3364
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Verlag:
- Neue Suche nach: Springer London
- Neue Suche nach: Springer
-
Erscheinungsort:London
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Erscheinungsdatum:2018
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ISSN:
-
ZDBID:
-
DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
- Neue Suche nach: 52.74 / 52.74$jWerkstoffbearbeitung$jWerkzeugmaschinen: Allgemeines / 52.70 / 52.70$jFertigungstechnik: Allgemeines
- Weitere Informationen zu Basisklassifikation
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Schlagwörter:
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Klassifikation:
BKL: 52.74 Werkstoffbearbeitung, Werkzeugmaschinen: Allgemeines / 52.74$jWerkstoffbearbeitung$jWerkzeugmaschinen: Allgemeines / 52.70 Fertigungstechnik: Allgemeines / 52.70$jFertigungstechnik: Allgemeines -
Datenquelle:
Inhaltsverzeichnis – Band 96, Ausgabe 9-12
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