4.4 Article

Effects on machinability of cryogenic treatment applied to carbide tools in the milling of Ti6AI4V with optimization via the Taguchi method and grey relational analysis

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s40430-022-03572-1

Keywords

Ti6AI4V alloy; Cryogenic treatment; Cutting force; Surface roughness; Taguchi method; Grey relational analysis

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This study investigated the effects of processing parameters and cryogenic treatment on cutting force and surface roughness in milling of Ti6AI4V alloy. The effects of cutting speed, feed rate, and tool treatments were evaluated using the Taguchi method and grey relational analysis. It was observed that cutting force decreased with increased cutting speed but significantly increased with feed rate. Surface roughness was found to vary based on cutting parameters. The most influential parameter for cutting force was feed rate with a contribution rate of 81.9%, while for surface roughness, it was cutting speed with a contribution rate of 48.8%. The optimal machining conditions were determined as A(1)B(3)C(2) through grey relational analysis for both responses.
The effects of processing parameters and cryogenic treatment on cutting force and surface roughness in the milling of Ti6AI4V alloy were investigated in this study. The effects of cutting speed, feed rate, and the treatments applied to the tools were evaluated through the Taguchi method and grey relational analysis. Control factors in the experiments performed under dry cutting conditions were based on two different cutting speeds and three different feed rates and tool properties. It was observed that the cutting force values decreased with increased cutting speed and significantly increased parallel to the feed rate. In terms of surface roughness, they were observed to change based on cutting parameters. Whereas the most effective parameter for cutting force was feed rate, with a 81.9% contribution, for surface roughness it was cutting speed, with a 48.8% contribution. Optimum machining conditions were determined as A(1)B(3)C(2) following the grey relational analysis performed for both responses.

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