Integrated Macro-Micro-simulation of Process Parameter Optimization and Microstructure-Determining Factors in Flywheel Casting
摘要
To improve the forming quality of the diesel engine flywheel and effectively solve casting defects, the solidification process and microstructure were investigated using a coupled finite element and cellular automaton (CAFE) approach. The optimal casting parameters, determined through orthogonal testing with the minimal defect rate as the criterion, were a pouring temperature of 1480°C, a mold temperature of 25°C, and a pouring time of 33 s. Simulations based on the optimal parameters predicted a shrinkage porosity volume of 0.808 cm3, compared to 4.043 cm3 observed in conventional approaches, and the defect rate was reduced by 79.9%. Furthermore, the microstructure of the ductile iron flywheel was simulated by the CAFE module to study the effect of the surface and bulk nucleation parameters. The results indicated that the surface nucleation parameter had a negligible influence on the solidification microstructure. In contrast, the volume nucleation parameter exerted a considerable influence. As the average bulk undercooling (