The newly developed metal powder materials DPLA (Dual Phase Low Alloy) and FSLA (Free Sintering Low Alloy are aimed at automotive and industrial applications
This is the first in a series of articles that will cover the accelerating improvement in manufacturing technology.
Designing new aerospace engines is challenging, but Rolls-Royce Germany turned to data analytics and AI to meet these challenges. The results? Reduced costs and shortened lead times.
AI already helps individual factories improve production, safety, efficiency and other metrics while lowering costs. Marrying AI and cloud technology can supercharge those benefits.
Blended learning relies on a combination of in-person classes, self-learning and interactive online tools.
I first wrote about substitute skin in 1993. And at the time, it seemed that stand-in organs—at scale—were imminent.
Profound changes in the manufacturing landscape are now being driven by current health concerns and their influence on how plant and factory workers do their jobs.
An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.
The whole of manufacturing is moving toward a leaner and more agile future enabled by additive manufacturing. But this change requires continuous and unrelenting innovation to be able to do things not done before.
HoloLens 2, Microsoft’s second-generation, mixed-reality smart glasses is a big part of why augmented reality in assembly has become ready for prime time.
