Effect of dual-coil parameter design on temperature field in induction furnace for SiC single-crystal growth
Description
This study focuses on a dual-coil induction heating furnace for the growth of SiC single crystals, and its central hypothesis is that: there exists a synergistic control mechanism among the dual-coil parameters (number of turns in the upper coil, phase difference, current ratio, and position of the lower coil); by reducing the power allocation ratio in the upper crucible-heat shield assembly, it is possible to simultaneously optimise the temperature field distribution within the furnace (reducing the radial temperature gradient of the seed crystal and increasing the axial temperature gradient of the growth chamber) whilst maintaining acceptable electrical efficiency. The research aims to address the inherent limitations of single-coil configurations in simultaneously controlling both radial and axial temperature fields, to demonstrate that multi-parameter coupled design is superior to independent single-parameter optimisation, and to identify Pareto-optimal solutions using intelligent optimisation algorithms. The research data file contains the raw data for all plots, as well as the source code for BP-NSGA-II run via MATLAB.