| Abstract Scope |
Process modeling, such as casting simulations, are important tools that are used to reduce development time and predict part quality. The greater the accuracy of these simulations, the more useful they are as a predictive tool. Detailed knowledge of the specific boundary conditions and material properties during the entire casting process is required to ensure the simulations can predict a defective part before it is cast.
In this work, casting experiments using a vacuum induction furnace provide heat transfer data and emissivity values for multipart molds, various mold geometries, and mold coating thicknesses. This data will be used to refine the casting simulations as they are sensitive to small changes in these values.
These changes in casting conditions will lead to differences in the thermal history of a cast part. Using the heat transfer, emissivity, and cooling rate data, a greater understanding of the processing – microstructure relationship is obtained. |