Composite materials have clear benefits for manufactured parts in aerospace, medical, automotive applications and many other industries. Ensuring the highest part accuracy is critical. Force measurement and material testing are essential processes for product designers and manufacturers to gain insightful data to create high-quality composite components.
On May 9, I took a whirlwind tour of change in manufacturing by visiting several open house events. First up was BIG Kaiser Precision Tooling Inc. in Hoffman Estates, IL, where Matt Tegelman, applications manager and product manager Kaiser, talked about the Industrial Internet of Things.
Winthrop Sheldon of SLM Solutions spoke with Editor in Chief Brett Brune at the Aerodef 2017 conference in Texas.
A new breed of turbochargers constructed of super tough alloys operates at higher temperatures and rotational speeds than ever before, resulting in greatly increased output in a smaller package for gas and diesel engines alike.
The average lifespan of a company on the S&P 500 has fallen to 20 years from more than 60 years in 1960. The power and influence of technology will increase as much in the next 18 months as it has in the last 30 years.
The history of cutting tools goes back a ways—a long, long way. Our prehistoric ancestors were pretty good at making stone tools, and the technology has improved from there. I saw how much on a February visit to the Deutsches Museum in Munich, which has an exhibit on the history of machining.
Additive will provide a simpler, more responsive supply chain for high-value parts, according to Velo3D CEO Benny Buller.
Robots simply are not used as widely as they could be, due to persistent barriers.
EV manufacturers must overcome a unique set of challenges to meet future customer expectations. Among them is the challenge to create innovative designs that meet safety requirements, performance criteria and keep costs down in the face of growing competition and a widening skills gap.
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.
