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- Title
Mold design and forming process parameters optimization for passenger vehicle front wing plate.
- Authors
Luo, Wenbin; Tang, Lingfeng; Guo, Fucheng
- Abstract
The main objective of the present article is to solve the problems of poor molding quality, large warpage, inadequate cooling effect and unsuitable selection of process parameters, in the injection molding process for passenger vehicle front-end plastic wing plate. The thickness and parting surface of the vehicle front-end fender were determined, the injection mold and its cooling system were designed. The relevant process parameters, affecting the product molding quality, were tested, according to orthogonal experimental approach, while their influence on the warpage was obtained, by analyzing the data. Finally, the BP neural network of warpage model was established and globally optimized using genetic algorithm. The optimal parameter combination of the injection molding process was derived as: melt temperature 236 °C, mold temperature 51 °C, cooling time 32 s, packing pressure 97 MPa and packing time 16 s.
- Subjects
PROCESS optimization; ARTIFICIAL neural networks; GENETIC algorithms; COOLING systems
- Publication
Journal of Mechanical Science & Technology, 2022, Vol 36, Issue 1, p187
- ISSN
1738-494X
- Publication type
Article
- DOI
10.1007/s12206-021-1217-5