Combining Experts and Automation in 3-D Printing
Researchers, including the Department of Social and Decision Sciences’ John Miller, have developed a novel approach to optimizing soft material 3-D printing.
The researchers’ Expert-Guided Optimization method combines expert judgment with an optimization algorithm that efficiently searches combinations of parameters relevant for 3-D printing, enabling high-fidelity soft material products to be printed.