Based on Autodesk Moldflow software, this paper studies the system simulation and process optimization of injection molding process of typical moving parts by constructing a closed-loop "design-simulation-feedback-optimization-verification" model. The results show that the introduction of Moldflow significantly improves the manufacturing accuracy and efficiency. In terms of parameter optimization, through automated script and gradient descent algorithm, multi-round iterative analysis of key parameters such as melt temperature, mold temperature and filling speed was realized, and the optimal combination was screened out, which reduced the length of the welding line to 6.8 mm and stabilized the filling pressure at 101.3 MPa. After optimization, the maximum value of warping deformation is reduced from 0.85 mm to 0.49 mm, a decrease of 42.35%; The shrinkage grade decreased from grade 3 to grade 2, and the improvement rate reached 33.33%; The molding cycle was shortened from 28.5 seconds to 24.0 seconds, and the efficiency was improved by 15.79%; The yield rate increased from 87% to 96%, and the overall manufacturing stability was significantly enhanced. In terms of cooling system, by redesigning the waterway structure and simulating the temperature field, the mold temperature difference is reduced to 8.9 °C, and the cooling time difference is controlled within 2.1 seconds, effectively reducing thermal stress concentration and dimensional deformation. The final energy consumption analysis shows that the energy consumption of the optimized scheme is reduced by 32.9%, and the energy saving effect is remarkable. To sum up, Moldflow software, in conjunction with automatic optimization process, provides strong data support and decision-making basis for high-quality manufacturing of injection molding moving parts, and has a wide engineering application prospect.
Chen et al. (Fri,) studied this question.