| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Aluminum Alloys: Development and Manufacturing
|
| Presentation Title |
Computational Design of a Novel Recycled Aluminum Die Casting Alloy for Improved Thermal Conductivity |
| Author(s) |
Umit Koc, Barıs Kara, Samet Sahin, Sezgin Bayram, Emre Cinkilic |
| On-Site Speaker (Planned) |
Emre Cinkilic |
| Abstract Scope |
Developing a novel sustainable aluminum die-casting alloy with enhanced thermal conductivity offers significant potential for further lightweighting of battery electric vehicles (BEVs) through secondary weight savings. In this study, computational modeling and experimental validation were combined to design a recycled aluminum die-casting alloy with improved thermal conductivity. The alloy composition and processing conditions (melt preparation and casting parameters) were optimized to balance thermal conductivity with mechanical strength and fluidity. High-throughput thermodynamic and kinetic simulations combined with a limited number of target experiments were utilized to establish processing-microstructure-property relations to achieve the desired material properties. The alloy composition and microstructure features (discontinuities, secondary phases, solute, etc.) were optimized through a holistic approach that combines computational materials design and experimental techniques. |
| Proceedings Inclusion? |
Planned: Light Metals |
| Keywords |
Aluminum, Computational Materials Science & Engineering, Sustainability |