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
Article, Bibliographie
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.
| Item Type: | Article |
|---|---|
| Erschienen: | 2017 |
| Creators: | Abele, Eberhard ; Hasenfratz, Christian ; Bücker, Markus |
| Type of entry: | Bibliographie |
| Title: | Modeling of Process Forces with Respect to Technology Paramters and Tool wear in Milling Ti6Al4V |
| Language: | English |
| Date: | 2017 |
| Journal or Publication Title: | Production Engineering : WGP, Springer Verlag, Heidelberg |
| Volume of the journal: | 11 |
| Issue Number: | 3 |
| DOI: | 10.1007/s11740-017-0739-2 |
| 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. |
| Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > Machining Technology (2021 merged in TEC Fertigungstechnologie) |
| Date Deposited: | 30 Aug 2017 12:43 |
| Last Modified: | 30 Aug 2017 12:43 |
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