Uncertainty Quantification in Modeling an Industrial High Pressure Die Casting Process
Uncertainty Quantification in Modeling an Industrial High Pressure Die Casting Process
| Event Date: | February 27, 2017 |
|---|---|
| Authors: | Jiahong Fu, John Coleman, Amy Marconnet, and Matthew Krane |
| Journal: | 2017 TMS Annual Meeting & Exhibition |
Date: 02/27/2017
Time: 8:35 AM - 8:55 AM
Location: San Diego Convention Center - 23A
Abstract: Commercial codes find industrial application in the simulation of solidification behavior and defect formation in High Pressure Die Casting (HPDC). Reliability of simulation results depends on the users’ confidence in the similarity of model setting to the real physical phenomena in casting process, and the uncertainty in the material properties. In this work, a commercial code is used to simulate the HPDC process of a transmission plate made of aluminum alloy A380 with thermophysical properties represented by experimentally derived probability distribution functions. The impact of property input uncertainties on specific outputs of interest are examined. Sensitivities and output probability density functions are produced for fraction of the casting still liquid at different times and for the final porosity of casting. These results allow better calculation of margins of production safety and estimation of reliability of HPDC process.