Combining experts and automation in 3D printing

(College of Engineering, Carnegie Mellon University) Researchers in CIT have developed a novel approach to optimizing soft material 3D printing. The researchers' Expert-Guided Optimization method combines expert judgment with an optimization algorithm that efficiently searches combinations of parameters relevant for 3D printing, enabling high-fidelity soft material products to be printed.