| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
An Atoms to Autos Approach for Materials Innovations for Lightweighting: An LMD Symposium in Honor of Anil K. Sachdev
|
| Presentation Title |
Application of Integrated Computational Materials Engineering (ICME) in Light Metal Casting |
| Author(s) |
Qigui Wang |
| On-Site Speaker (Planned) |
Qigui Wang |
| Abstract Scope |
In automotive industry, structure lightweighting becomes more important particularly for new electric vehicles coming to market. The additional weight of batteries/fuel cells and the electric motors for electrification can be substantially offset by replacing steel structures with high strength light metal castings. The increasing use of light metal castings in critical structures requires improved quality, with more reliable and quantifiable performance. Light metal casting processing is very complex and often involves many competing mechanisms, multi-physics phenomena, and potentially large uncertainties. One of the most effective ways to optimize the design and manufacturing processes of light metal castings to achieve the desirable mechanical properties is through the development and exploitation of robust and accurate multi-scale computational material models. This paper reviews the development and implementation of GM Virtual Cast Component Development (VCCD) tool, which is an exemplary application of ICME from Atoms to Autos in light metal casting. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
ICME, Computational Materials Science & Engineering, Modeling and Simulation |