Abstract
The successful implementation of Industry 4.0 requires a comprehensive research, industrial innovation, strategic plans, and integration of engineering concepts. In this study, we described the development of a knowledge-based system to improve the traditional injection molding process using information integration. This system aims to support injection molding industries by applying advanced solutions to optimize production and increase productivity. In this context, based on the current data-driven process, new systems, technologies, and best practices are recommended to users. This work focuses on (a) simulation and generative design for optimization of manufacturing, (b) additive manufacturing, and (c) virtual reality. In this research, after a short overview of the knowledge-driven process of injection molding, the proposed knowledge-based system is presented. Then, we explained the use of the mentioned technologies in the injection molding production line. The current work, indicates that a production process can be significantly changed and revolutionized by intelligent solutions and smart devices. For instance, utilizing 3D printing in fabrication of injection molding clamps leads to 95% and 85% reductions in cost and time, respectively. Further research and experiments can improve and enrich the existing affordable and proper solutions of resulting from the proposed knowledge-based system.
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