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.
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