For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

The importance of digital tools and simulation for successful composite parts design is well established, whether for aircraft wings, automotive bumper beams or bicycle frames. Over the past decade, ...

Cycle time prediction is a critical process in semiconductor manufacturing, where it serves as an essential tool for optimising production schedules, reducing operational costs, and enhancing overall ...

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 ...

In the first of a four-part series, Robert Dusenbury provides an overview of how his team went about designing and producing a golf putter to demonstrate the feasibility and benefits of closed-loop ...