Worcester Polytechnic Institute (WPI) is spearheading an ambitious initiative called Rubble to Rockets, aimed at transforming scrap metal and mixed alloys into high-performance components using additive manufacturing. The project integrates machine learning to identify unknown materials and analyze how they interact when melted and 3D printed, making it possible to manufacture reliable parts in resource-constrained environments. The project is expected to be completed by November 2027.

Led by Associate Professor Danielle Cote, the research focuses on creating high-quality components from unpredictable source materials. The team will employ artificial intelligence developed by a WPI PhD student to predict material behavior across a range of compositions. This AI system is designed to automate and optimize the material characterization process, ensuring structural integrity and performance while accelerating production timelines.

A research team at the Massachusetts Institute of Technology (MIT) has introduced a novel 3D printing method that significantly simplifies post-processing and reduces material waste. The innovation centers around a custom-formulated photopolymer resin whose behavior changes depending on the light wavelength used during printing. With this approach, both durable parts and easily removable support structures can be printed in a single pass.

The technique builds on vat photopolymerization, a method where layers of liquid resin are cured using specific light patterns. Traditionally, support structures made of the same resin are printed along with the object and must be carefully removed and discarded afterward. MIT’s new system avoids this waste by using UV light to cure strong, permanent parts while using visible light to create temporary support structures that dissolve easily after printing.

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is leading a new chapter in 3D printing—one where printed objects don’t just look good, but also feel realistic, move like living organisms, and even carry built-in electronics. These advances aren’t happening in isolation; they’re part of a larger shift toward smarter, more interactive, and more sustainable design and manufacturing.

In recent years, CSAIL has unveiled a range of projects that blend artificial intelligence, materials science, and automation to push the boundaries of what’s possible with additive manufacturing. These innovations are transforming how we interact with 3D-printed objects—making them more tactile, mobile, intelligent, and accessible.