Furnace Temperature Curve Control via Heat Conduction and Optimization

In this paper, a thermal conduction model with thermal convection as boundary condition is established to control the furnace temperature curve, the temperature of the temperature zone, and the furnace passing speed of reflow furnace. The finite difference method is utilized to address the thermal conduction model, which simultaneously obtains the temperature distribution of the gap in the temperature zone of the reflow furnace and the furnace temperature curve under certain conditions. Also, the robustness and sensitivity of the model are tested. At the same time, this paper discusses the application of the thermal conduction model in some optimization problems, as a result the single objective and multi-objective optimization models are established. Traversal algorithm and particle swarm optimization are employed to solve the single objective and multi-objective optimization models, respectively. Therefore, the optimal solutions of the temperature and furnace passing speed under different constraints are obtained, so as to control the furnace temperature curve under given conditions.