ArticleMicromachines2023
Simulation and Experimental Study on the Precision Molding of Irregular Vehicle Glass Components.
Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Simulation and Experimental Study on Parameter Optimization for the Glass Molding Process of Automotive Panoramic Roofs.Materials (Basel, Switzerland) · 2026Article
- Precision Molding Simulation Study of 3D Ultra-Thin Glass Components for Smartwatches.Micromachines · 2025Article
- Thermal Bending Simulation and Experimental Study of 3D Ultra-Thin Glass Components for Smartwatches.Micromachines · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
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 °C/s, holding time of 158 s, molding temperature of 570 °C, molding pressure of 34 MPa, and cooling rate of 1.15 °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.
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