| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Cast Shop Technology
|
| Presentation Title |
A Cellular Automaton Model for Qualifying Current Grain Refiners and Prescribing Next-generation Grain Refiners for Aluminium Alloys |
| Author(s) |
Georges Salloum-Abou-Jaoude, Samah Sami, Alain Jacot, Luc Rougier |
| On-Site Speaker (Planned) |
Georges Salloum-Abou-Jaoude |
| Abstract Scope |
In cast aluminium products, small equiaxed grains reduce the risk of hot tears and shrinkage porosities by facilitating the liquid feeding in the interdendritic liquid. Although grain refinement in aluminium alloys is well known and widely used, grain size control is still not always guaranteed industrially. This depends largely on the nature and fabrication quality of the grain refiner rod.
In this work, we developed a cellular automaton model to establish a clear link between the grain refiner type/nature and grain refining efficiency while accounting for the principal physical phenomena affecting grain refiner performance: grain refiner nature, nucleant size distribution, recalescence, solute suppressed nucleation zone…
At TMS2020 [1] we highlighted experimentally, the inconsistencies in grain refiner performance between different producers and in batches of the same producer. This model helps in qualifying grain refiners and would serve as a prescriber for designing next-generation grain refiners with superior efficiency. |
| Proceedings Inclusion? |
Planned: Light Metals |
| Keywords |
Aluminum, Solidification, Modeling and Simulation |