How Can Deep Learning Facilitate Thermoset Composite 3D Printing?

In an article recently published in the journal Additive Manufacturing, researchers discussed computer vision and deep learning for in-situ optimization of thermoset composite additive manufacturing (AM). A new extrusion AM process called direct ink writing (DIW) offers unequaled design flexibility with a wide range of feedstock materials. Although composite DIW has made great strides, this technology still has a long way to go before it can be considered a cornerstone of contemporary composite manufacturing. To consistently produce high-quality prints, it is essential to comprehend the complex interactions between the DIW process, print quality, and material performance. Machine learning (ML) methods can be used to simulate the impacts of process parameters and autonomously optimize the AM as a solution to this issue.