| About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Uncertainty Quantification Applications in Materials and Engineering
|
| Presentation Title |
A Parametric Study of Optical Floating-Zone Crystal-Growth Furnace Through Modeling of Heat Transfer: Effect of Sample Properties and Environment Gas Pressure |
| Author(s) |
Eymana Maria, Jonathan J. Denney, Peter G. Khalifah, Katsuyo Thornton |
| On-Site Speaker (Planned) |
Eymana Maria |
| Abstract Scope |
Recently, optical floating-zone (OFZ) furnaces have had a transformative impact on certain fields that require high-quality single crystals of complex materials. However, an in-depth understanding of this crystal-growth process is still lacking due to the challenges involved in probing the temperature within the furnace, and the limited knowledge about physical parameters related to the growth technique. Here, we apply a physics-based heat transfer model parameterized by experiments and a machine-learning algorithm to simulate the temperature distribution within the samples processed in an OFZ furnace. We perform a parametric study to understand the effect of sample shape and size, environment gas pressure, and heating source position on the temperature profile of the sample and the heat flux distribution inside the furnace that directly control the outcome of the crystal-growth process. This study can therefore be utilized to correlate the sample temperature profile and crystal-growth outcomes from less expensive (non-synchrotron) experiments. |