Numerical analysis of steady and transient processes in a directional solidification system

Application of artificial neural network to optimize sensor positions for accurate monitoring: an example with thermocouples in a crystal growth furnace

“…As a case study to answer this research question, we have chosen the directional solidification (DS) furnace for silicon ingots since high demand 12,13) for high-quality ingots with a low density of crystal defects requires control of the growth process [14][15][16] based on accurate monitoring of temperature distribution with a limited number of thermocouples. The necessity of having the accurate temperature distribution on the crucible sidewall is crucial for a better understanding and control of the growth; however, it is hard to measure furnace during the solidification process, which involves of vertical movement of the crucible position.…”