Simulation and Experimental Study on the Precision Molding of Irregular Vehicle Glass Components

The high level of stress and dimension deviation induced by glass molding are the main causes of the low yield rate of large, irregular glass components on vehicles. To solve this issue, a numerical model of large glass component molding was established in this study, which aimed to analyze the dominant factors of molding quality and achieve a synergistic balance between quality characteristics and energy consumption. The results show that molding temperature is the dominant factor affecting the energy consumption and residual stress, and the molding pressure is the main factor affecting the dimension deviation. Furthermore, the NSGA-II optimization algorithm was used to optimize the maximum residual stress, dimension deviation, and energy consumption with the numerical results. The combination of a heating rate of 1.95 degrees C/s, holding time of 158 s, molding temperature of 570 degrees C, molding pressure of 34 MPa, and cooling rate of 1.15 degrees C/s was determined to be the optimized scheme. The predictive error of the numerical result, based on the optimized scheme, was experimentally verified to be less than 20%. It proved the accuracy of the model in this study. These results can provide guidance for the subsequent precision molding of large, irregular glass components.

Automated summary

This study established a numerical model to analyze the main factors affecting the molding of large glass components and found the optimal solution using an optimization algorithm. The accuracy of the model was verified through experimentation, providing guidance for subsequent precision molding.