Abstract
Multi-cavity mold design is an efficient approach to achieving mass production and is frequently used in plastic injection applications. The runner system of a multi-cavity mold delivers molten plastic to each cavity evenly and makes the molded product from each individual cavity possess an equivalent quality. Not only the dimensions, but also the invisible quality, e.g., the internal stress of the product is of great concern in regard to molding quality. Using commercial software to find an optimal solution for the runner system may be time-consuming in respect to iterations if the engineers lack empirical rules. The H-type runner system is often used due to an inherently balanced filling in multi-cavities. However, the shear heat inducing an imbalanced flow behavior requires the H-type runner system to be improved as the number of the cavities is increased. This work develops a methodology based on the rheological concept to determine the runner system of a multi-cavity mold semi-analytically. As the relation of the viscosity with respect to shear rate is known, the runner system can be constructed step-by-step via this method. The use of the proposed method helps to focus attention on the connection between the physical situation and its related mathematical model. The influences of the melt temperature and resin type can be easily investigated. Three design examples, a 16-cavity mold with a fishbone runner system, an 8-cavity mold with an arbitrary runner layout, and the influences of melt temperature and resin type on the runner design are demonstrated and validated by the commercial software. The proposed method shows its great benefit when a new runner design project is launched in the initial design stage and then cooperates with the commercial software for further modifications.
Funder
Smart Machinery and Intelligent Manufacturing Research Center in National Formosa University
Subject
Polymers and Plastics,General Chemistry
Reference19 articles.
1. Stevenson, J.F. (1996). Innovation in Polymer Processing: Molding, Carl Hanser Verlag.
2. Bociąga, E., Jaruga, T., and Koszkul, J. (2003, January 7–10). Plastic flow investigation in multicavity injection mold. Proceedings of the 12th Scientific International Conference, Achievements in Mechanical and Materials Engineering (AMME), Gliwice-Cracow-Zakopane, Poland.
3. Warpage prediction of Injection-molded PVC part using ensemble machine learning algorithm;Ahmed;Mater. Today Proc.,2022
4. Improving flow balance during filling a multi-cavity mold with modified runner systems;Huang;Int. Polym. Process,2008
5. Experimental and Theoretical Study on Filling Imbalance in Geometrically Balanced Injection Molds;Narowski;Polym. Eng. Sci.,2019
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献