| About this Abstract |
| Meeting |
TMS Specialty Congress 2025
|
| Symposium
|
8th World Congress on Integrated Computational Materials Engineering (ICME 2025)
|
| Presentation Title |
Predicting the Color of Gold-Based Alloys Using a CALPHAD-Based Model: Incorporating Composition, Heat Treatment, and Viewing Conditions |
| Author(s) |
Xin Wang, Bartek Kaplan, Clay Houser, Paul Mason, Andreas Markstrom |
| On-Site Speaker (Planned) |
Xin Wang |
| Abstract Scope |
We present a CALPHAD-based computational model for predicting the color of gold alloys, considering critical factors such as alloy composition, heat treatment temperature, illuminant wavelength distribution, observer viewing angle, and material thickness. This model leverages thermodynamic databases to account for the presence of intermetallic compounds, enabling comprehensive simulations of gold-based alloy colors. Core methodology involves the calculation of the dielectric function for each phase present in the alloy, which is then used to predict the material's optical properties. For single-layer systems, the Fresnel equations are applied to model light reflection and transmission. For more complex structures, such as multi-layered configurations, a transfer matrix method is utilized. This multi-faceted approach allows for precise color predictions under varying conditions, providing a robust tool for designing gold alloys with tailored aesthetic properties. Our model offers significant advancements in the prediction and design of gold alloys where precise control over material appearance is essential. |
| Proceedings Inclusion? |
Undecided |