|About this Abstract
||2016 TMS Annual Meeting & Exhibition
||Cast Shop Technology: An LMD Symposium in Honor of Wolfgang Schneider
||Uncertainty Propagation in Numerical Modeling of Direct Chill Casting
||Kyle Fezi, Matthew J.M. Krane
|On-Site Speaker (Planned)
Complex solidification processes are often simulated to gain insight into physical phenomena that cannot be experimentally observed. Improvement of such models is sometimes linked to the inclusion of more sophisticated physics. A fully transient numerical model of the direct chill casting process of aluminum alloy 7050 is used to examine the propagation of input uncertainty to outputs of interest. This model solves equations for momentum, temperature, and species conservation. The effect of input uncertainties in material properties, thermal boundary conditions, and numerical model parameters are examined. Probability density functions of macrosegregation and sump depth are calculated based on these input uncertainties. The free-floating particle size plays an important role in particle settling, but has a small influence on the sump depth and overall macrosegregation.
||Planned: Light Metals Volume