Numerical modelling of tilt casting process for γ-TiAl alloys
Wang, H., Djambazov, G. ORCID: https://orcid.org/0000-0001-8812-1269, Pericleous, K. ORCID: https://orcid.org/0000-0002-7426-9999, Harding, R.A. and Wickins, M. (2012) Numerical modelling of tilt casting process for γ-TiAl alloys. International Journal of Cast Metals Research, 25 (2). pp. 65-74. ISSN 1364-0461 (Print), 1743-1336 (Online) (doi:10.1179/1743133611Y.0000000024)
Full text not available from this repository.Abstract
The tilt casting method is used to achieve tranquil filling of γ-TiAl turbine blades up to 400 mm long. The reactive titanium alloy is induction melted in a cold crucible, and the crucible with the attached mould is then rotated through 180° to transfer the metal into the mould. In the cold crucible, heat losses to the water cooled copper walls and base limit the superheat available, increasing the risk of premature freezing during mould filling. A compromise is required between fast and slow rotations to minimise the casting defects, such as misruns or gas entrainment. Simulations are presented using the authors’ Computational Fluid Dynamics code with several novel developments in front tracking, heat transfer algorithms and turbulence model adaptation, which accounts for an advancing solid front. The computational results are validated against prototype castings produced at the University of Birmingham, and the model is then used to optimise the tilt casting process.
Item Type: | Article |
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Additional Information: | [1] First published: 1 April 2012. [2] Published as: International Journal of Cast Metals Research, (2012), Vol. 25, (2), pp. 65-74. |
Uncontrolled Keywords: | tilt casting, 3D computational model, gamma-TiAl alloys, process parameters, interface tracking |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TS Manufactures |
Pre-2014 Departments: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group |
Related URLs: | |
Last Modified: | 02 Mar 2019 15:52 |
URI: | http://gala.gre.ac.uk/id/eprint/7733 |
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