|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Defects and Properties of Cast Metals
||Casting Defects Prediction and Control in GE’s Brilliant Factory
||Lang Yuan, Ade Makinde, Huijuan Dai, Aymeric Moinet, Matteo Bellucci
|On-Site Speaker (Planned)
GE’s Brilliant Factory is bridging the physical and the digital worlds to create a new breed of manufacturing. The creation of Digital Twin and Digital Thread for casting processes will lead to seamless and real-time simulation capability, from initial CAD design to final performance evaluation. This will significantly advance the high-quality casting parts production with short lead time and low cost. Casting defect prediction and control is one of the key requirements in the establishment of digital twin, allowing casting foundries to open up the design space, accelerate the process development, optimization, and therefore its qualification. A breath of digital techniques has been applied to optimize both the part/ gating system design and casting conditions, to control multi-scale defects, e.g. porosity, cracking and segregation for desired performance. Cases will be discussed, demonstrating how to leverage model-based models, physics-based models and advanced data analysis to control defects in casting processes.
||Planned: Supplemental Proceedings volume