The enhanced strength, fatigue life, and corrosion resistance properties of Tialloys have attracted many industries for their utilization in various components exposed to extreme operating conditions. The machining of these alloys using conventional machining techniques is one of the main challenges in its wide application in many components, and there is an obvious demand to analyse the materials' response to these alloys in machining processes by developing simulation-based models. The materials' behaviour used in simulation of machining processes is usually determined by means of Split-Hopkinson- Pressure-Bar (SHPB) setup. A 3D thermo-mechanically coupled Finite-Element (FE) model of SHPB is developed in the current work to analyse materials response of FI-Ti-15333 at the selected temperature, strain rate, and strain. The obtained materials' response to the tested alloys is used in 3D thermo-mechanically coupled FE model of ultrasonically assisted turning and conventional turning at various tested cutting conditions. The developed FE model is used for parametric analysis of fi-Ti-15333 machining, and the obtained FE results are in good agreement with experimental results.
Funding
This research work was carried out under the grant of MaMiNa project, supported by EU 7th-Framework Program, agreement number: PITN-GA-2008-21153.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Scientia Iranica
Volume
24
Issue
6
Pages
2904 - 2914
Citation
MUHAMMAD, R. ... et al, 2017. Dynamic behaviour of β-Ti-15333 in ultrasonically assisted turning: experimental and numerical analysis. Scientia Iranica, 24 (6), pp.2904-2914.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Acceptance date
2016-10-29
Publication date
2017-11-01
Notes
This paper was published in the journal Scientia Iranica and the definitive published version is available at https://doi.org/10.24200/sci.2017.4312.