(613f) An Observer Design for Temperature Estimation in Czochralski Crystal Growth Process With Time-Varying Domain
AIChE Annual Meeting
2013
2013 AIChE Annual Meeting
Computing and Systems Technology Division
Dynamics, Reduction and Control of Distributed Parameter Systems
Thursday, November 7, 2013 - 10:00am to 10:18am
Czochralski crystal growth
process is a well-known process used for single crystal production. The crystal
growth starts with a small seed crystal and growth happens at the melt-crystal
interface while drawing crystal from a pool of the melted crystal material [1]
Due to high-tech applications of single crystals, crystal quality is the most
important characteristics that should be considered in the growth process. Temperature
profile in the crystal has an important role in defects concentration and residual
stresses inside the crystal [2]. In order to monitor and control the
temperature, knowledge of temperature over the entire domain is necessary,
despite the fact that temperature measurements on the entire domain are not
available and cannot be measured directly. In order to monitor the temperature
distribution in crystal, an estimation strategy is required to estimate crystal
temperature and construct temperature profile over the entire domain. The
temperature evolution dynamic is expressed by a parabolic partial differential
equation on a moving boundary domain. The domain geometry is determined by the
radius and length evolution modeled by a hydro-geometrical dynamics.
Time-varying domain results in a time-varying PDE on a time-varying domain. In
this work, an ODE model of pulling dynamics is coupled with 2-D temperature
evolution dynamics expressed by time-varying PDE on a moving boundary. Using
the Galerkin's model the 2-D parabolic PDE is approximated and reduced to a low
dimensional ODE considering the time-varying domain effects . Observability of
the system is investigated and an observer is synthesized based on point
boundary temperature measurements. Finally, the observer is implemented on the
finite element model (FEM) of the crystal and the efficiency of the temperature
estimation and effects of uncertainties in modelling is studied. The crystal
geometry and temperature distribution are shown in figure below at different
times during the process.
References
[1] M. A. Gevelber, D. Wilson and
N. Duanmu, Modeling requirements for development of an advanced Czochralski
control system, Journal of Crystal growth, 230 (2001) 217-223
[2] M. A. Gevelber, G.
Stephanopoulos, M. J. Wargo, Dynamics and Control of the Czochralski Process
II. Objectives and control structure design, Journal of Crystal growth, 91
(1984) 199-217
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