3D Printing
3D printing, or additive manufacturing, aims to create objects layer-by-layer from digital designs, focusing on improving precision, speed, and material versatility. Current research emphasizes automated quality control using machine learning, particularly convolutional neural networks and large language models, to detect and correct printing errors in real-time, and to optimize toolpath planning for various materials and printing techniques. These advancements are significant for enhancing manufacturing efficiency, enabling the production of complex geometries, and expanding the range of applications across diverse industries.
Papers
Non-planar 3D Printing of Double Shells
Ioanna Mitropoulou, Amir Vaxman, Olga Diamanti, Benjamin Dillenburger
Development and Comparison of Model-Based and Data-Driven Approaches for the Prediction of the Mechanical Properties of Lattice Structures
Chiara Pasini, Oscar Ramponi, Stefano Pandini, Luciana Sartore, Giulia Scalet