Abstract: Based on the dual-carbon goal， the gas-assisted molding technology can provide an effective way for plastic molding to reduce carbon emissions. To design the gas-assisted molding parameters accurately， improve the gas-assisted molding quality and efficiency， and reduce carbon emissions effectively， the orthogonal optimization with a parameter interaction was studied through 3D numerical simulation and experiments. The results indicated that the parameter interaction had little effect on the gas penetration length but a significant effect on the gas finger defect. Based on the range analysis， the optimized parameter group was obtained at a polymer temperature of 240 ℃， a gas injection pressure of 3 MPa， a delay time of 4 s， and a mold temperature of 40 ℃. The numerical simulation and experiments indicated that the gas penetration length and gas finger under the optimized parameter group were excellent， which could be used in the actual gas-assisted molding production.

Key words: Dual Carbon, Gas-assisted Injection Molding, Orthogonal Test, Precision Design, Optimization