Intelligent Filament Production: Real-Time Control and Optimization of Recycled Plastic Extrusion for 3D Printable Filaments

This paper introduces a novel system for the efficient conversion of plastic waste, including Polystyrene (PS), into 3D printable filament. Through systematic experimentation and optimisation, the system demonstrates its adaptability to various plastic waste materials while ensuring precise control and user-friendliness. Utilizing a Gradient Boosting Regressor model in the Internet cloud, the system predicts and optimizes extrusion temperature and speed based on real-time sensor data, ensuring precise control for various waste materials. It integrates embedded systems and the Internet of Things (loT) which automates key processes, enabling user-friendly monitoring and control. By uniting electronics with sustainability, this system addresses the global plastic waste challenge, streamlining recycling while making 3D printing technology accessible. This system advances sustainable waste management, emphasising plastic recycling and broadening access to 3D printing technology.