2006 AIChE Annual Meeting
(698b) Modeling and Control of the Gradient Freeze Method of Crystal Growth
Authors
We have demonstrated that quantitative modeling of a complete system, ranging from global furnace modeling to detailed modeling of convective heat and mass transport at the growth interface, is possible using these computational tools. Furthermore, we have conducted parametric sensitivity studies to assess furnace design features that can be used to engineer interface shape during growth.
With a self-consistent model of the crystal growth apparatus and the growing crystal, we are able to explore methods of improving the crystal growth process. Specifically, we will apply control theory to improve the melt-crystal interface during the growth process. The most obvious method of affecting the interface is through the applied thermal gradient. Gradient freeze furnaces are characterized by vertically stacked heaters that produce a thermal profile, usually a monotonic function of height. The heater powers are varied during a growth cycle to mimic the action of pulling an ampoule through a static thermal gradient. Varying these heater powers in a smart manner can result in a more favorable interface shape. As a feasibility test, a control algorithm will be applied to the local subsystem using a measure of the interface curvature as the controlled output. The control actuators are the temperature set-points of the thermocouples corresponding to the heaters. At discrete time points, the global and local models will be coupled using a quasi-steady-state assumption.