About this Abstract |
| Meeting |
2027 TMS Annual Meeting & Exhibition
|
| Symposium
|
Aluminum Cast Shop Technology Symposium and Supplier Forum
|
| Presentation Title |
Simulation-Guided Optimisation of Inclusion Sedimentation in a Novel Aluminium Launder for Recycled Alloys |
| Author(s) |
Nihal Ramesh Salian, Tharmalingam Sivarupan, John Forde, Ben Shaw, Konstantinos Salonitis, Mark Jolly, Konstantinos Georgarakis |
| On-Site Speaker (Planned) |
Konstantinos Georgarakis |
| Abstract Scope |
Oxide and Fe-rich inclusions in secondary aluminium alloys limit the mechanical properties of high-performance castings due to poor melt cleanness. A computational fluid dynamics study of a novel launder design optimised inclusion removal by sedimentation, analysing the effects of particle size (25 to 1000) µm, density (2560 to 3990) kg m⁻³, melt flow rate (50 to 500) kg h⁻¹, baffle configuration, temperature gradients (up to 100) °C, and localised heating. Sedimentation efficiency was strongly influenced by hydrodynamic and thermal conditions. Lower flow rates (<100) kg h⁻¹ increased inclusion residence time and promoted settling, while localised heating at the launder centre and outlet enhanced sedimentation by approximately (70 to 90) %, under optimised conditions. These results demonstrate that simulation-guided optimisation of launder design and thermal management provides an energy-efficient route to improve melt cleanness in recycled aluminium alloys for aerospace casting applications. |
| Proceedings Inclusion? |
Planned: Light Metals |
| Keywords |
Aluminum, Solidification, Sustainability |