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Modeling of Process Forces with Respect to Technology Paramters and Tool wear in Milling Ti6Al4V

Abele, Eberhard ; Hasenfratz, Christian ; Bücker, Markus (2017)
Modeling of Process Forces with Respect to Technology Paramters and Tool wear in Milling Ti6Al4V.
In: Production Engineering : WGP, Springer Verlag, Heidelberg, 11 (3)
doi: 10.1007/s11740-017-0739-2
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

The usage and importance of titanium materials is increasing worldwide. Titanium is particularly suitable for use in turbines and lightweight construction due to its high heat resistance and low density. However, its low thermal conductivity results in machining problems and short tool life due to the associated high mechanical and thermal tool loads. Knowledge about the mechanical tool load during the milling process is of vital importance to process design and modeling. This paper presents multivariate regression method to model the process forces involved in the titanium milling process with respect to various technology parameters. In particular, the resulting tool wear and its relationships with these process forces is analyzed.

Typ des Eintrags: Artikel
Erschienen: 2017
Autor(en): Abele, Eberhard ; Hasenfratz, Christian ; Bücker, Markus
Art des Eintrags: Bibliographie
Titel: Modeling of Process Forces with Respect to Technology Paramters and Tool wear in Milling Ti6Al4V
Sprache: Englisch
Publikationsjahr: 2017
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Production Engineering : WGP, Springer Verlag, Heidelberg
Jahrgang/Volume einer Zeitschrift: 11
(Heft-)Nummer: 3
DOI: 10.1007/s11740-017-0739-2
Kurzbeschreibung (Abstract):

The usage and importance of titanium materials is increasing worldwide. Titanium is particularly suitable for use in turbines and lightweight construction due to its high heat resistance and low density. However, its low thermal conductivity results in machining problems and short tool life due to the associated high mechanical and thermal tool loads. Knowledge about the mechanical tool load during the milling process is of vital importance to process design and modeling. This paper presents multivariate regression method to model the process forces involved in the titanium milling process with respect to various technology parameters. In particular, the resulting tool wear and its relationships with these process forces is analyzed.

Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW)
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > Zerspanungstechnologie (2021 aufgegangen in TEC Fertigungstechnologie)
Hinterlegungsdatum: 30 Aug 2017 12:43
Letzte Änderung: 30 Aug 2017 12:43
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