| Download | - View accepted manuscript: Solidification model calibration for predicting microstructure fields in HPVDC Aural™-2 (PDF, 1.6 MiB)
|
|---|
| Author | Search for: Gariépy, Alexandre1; Search for: Raymond, Vincent1; Search for: Pineau, Frédéric1; Search for: Bouchard, Dominique1; Search for: Tu, Siyu1; Search for: Samuel, Ehab1 |
|---|
| Affiliation | - National Research Council of Canada. Automotive and Surface Transportation
|
|---|
| Format | Text, Article |
|---|
| Conference | 2021 NADCA Die Casting Congress and Exposition, October 4-6, 2021 |
|---|
| Abstract | In this paper, the conventional solidification model available in the ProCAST® software is tested and calibrated to predict the microstructure of an aluminium alloy stepped plate produced by the high-pressure vacuum die casting process. An experimental tooling was built to cast Aural™-2 specimens at 1.8, 3.0 and 4.7 mm thicknesses, while measuring the subsurface die temperature gradient at two locations. The measured die temperatures were then used to determine the timedependent interfacial heat transfer coefficients required as input to calculate the cooling rate. The microstructures of 1.8 and 4.7 mm sections were characterized through-thickness using electron backscatter diffraction imaging and energy-dispersive spectroscopy for both the α-Al and eutectic regions. A finite element model was set up in ProCAST® using small subdomains to efficiently calculate the solidification behavior in each region and extract the predicted microstructural characteristic lengths. The model was integrated into an iterative external optimization loop operating on Python to calibrate the six material parameters of the solidification model for this alloy by minimizing the error between the predicted and measured dendritic (α-Al) and eutectic grain sizes. With these optimized parameters, the prediction accuracy was tested for the skin-tocore profile in two section thicknesses typical of structural die casting. Such a model could be used as part of a wider numerical toolbox to predict the location-specific service strength and ductility for structural die castings at the design stage, before the tooling is built. |
|---|
| Publication date | 2021-10-04 |
|---|
| Publisher | North American Die Casting Association |
|---|
| In | |
|---|
| Language | English |
|---|
| Peer reviewed | Yes |
|---|
| NRC number | NRC-AST-2021-2022-002 |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction (opens in a new tab) |
|---|
| Record identifier | 30823892-b7b3-49fa-907a-6f481eb2eef1 |
|---|
| Record created | 2021-12-07 |
|---|
| Record modified | 2021-12-07 |
|---|
