This article takes the cover of the AC charging pile as the research object and
studies the process parameters of dual-color injection molding. First, the
optimal Latin hypercube experimental design is carried out by using optimization
software by taking the melt temperature and mold temperature of the first shot
and the second shot and the holding pressure as the influencing factors.
Injection simulation is carried out based on mold flow software. A
high-precision neural network model RBF is constructed according to the test
factors and results. Second, based on the obtained RBF prediction model, the
multi-objective NSGA-II algorithm is used for optimization. The obtained optimal
combination of molding process parameters is: the melt temperature of the first
shot is 266.8°C, the mold temperature is 107°C, the melt temperature of the
second shot is 230.3°C, the mold temperature is 59.5°C, the holding pressure of
the first shot is 95 MPa, the holding pressure of the second shot is 89.9 MPa,
and the holding time is 10 s. Next, conducting finite element simulation
verification on the optimized process parameters, it was found that the total
warpage and the first and second volume shrinkage rates were 1.13 mm, 4.57%, and
7.41%, respectively, with a maximum error of only 5.7% compared to the RBF
predicted values. The results show that the RBF prediction model established has
high accuracy. Compared with before optimization, the warpage amount is reduced
by 21.9%, and the volume shrinkage rates are reduced by 34.3% and 11.2%,
respectively. Finally, the optimized process parameters were imported into
actual production, and the molding quality was effectively improved.
