Researchers from the Dhaka University of Engineering and Technology have developed and analyzed 3D printed nanoparticle-infused plastic materials using machine learning techniques. Designed for the FFF 3D printing process, the six new filaments are made up of a combination of recycled plastics and nanoparticles, with a graphene coating used in two of the materials. During the study, the team evaluated and compared the materials’ properties, including microstructure, surface texture, mechanical behavior and thermal characteristics. With the help of machine learning, the researchers were able to correlate the printing parameters for given 3D printed products in order to achieve more reliable and enhanced mechanical and physical qualities. Pellet mixture of: a. PLA and HDPE, b. PLA, HDPE, and TiO2, c. recycled plastic, PLA and HDPE, d. recycled plastic, PLA, HDPE, and TiO2. Image via Polymer Testing. Process parameters for FFF In line with the ever-increasing demand for more complex and multi-functional… read more