With additive manufacturing, used to build this heat exchanger, one key is to do prototyping for the part and then see whether additive or subtractive manufacturing is the better choice of manufacture ...

Closing the casting-to-machining divide reduces scrap, speeds production and lowers costs without compromising quality.

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 Department of Engineering Design and Manufacturing is involved in a variety of research and training activities. The following is an overview of the areas that research teams work in, with some ...

In recent years, significant advancements in ML have influenced several fields beyond computer science, including autonomous driving, structural color design, medicine, and face recognition. The ...

Human-machine interfaces (HMIs) facilitate interaction between a human operator and a machine, allowing users to control machinery and receive feedback while ensuring smooth and efficient operation.

Artificial intelligence and machine learning (AI/ML) have immense power to transform semiconductor design and manufacturing for a variety of broad and far-ranging applications. Just consider the ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Manufacturing businesses like machine shops, and the supply chains that serve them, have multiple moving parts that can be managed efficiently from a well-designed workspace. Designing a ...