Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...

A team of researchers from the University of Virginia, Carnegie Mellon University, and the University of Wisconsin-Madison has made a breakthrough in the field of additive manufacturing that could ...

Additive Manufacturing has been used in many applications, including biomedical, aerospace, energy and automobile. However, its full potential is inhibited by the limitations in design complexity, ...

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

In the evolving field of additive manufacturing, several innovations have emerged that have helped to drive the industry forward. From the development of advanced and multi-materials for 3D printing ...

Metal additive manufacturing (AM) continues to evolve rapidly, driven by technological advancements and market opportunities. Artificial intelligence (AI) and machine learning are improving design ...

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper, ...