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.
Artificial intelligence will go long way to imbue data management with trust.
A decade removed from the Great Recession, the U.S. job market is thriving. Because employers are struggling to fill empty positions, they must explore other ways to increase production needs.
Automotive manufacturers and their Tier One suppliers spend endless engineering hours developing the PAB (passenger airbag) system, from the airbag and its propellant to the construction of the materials used in the composite instrument panel.
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.
Warehouses must take a proactive, strategic approach to create a safe working environment.
When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.
SME’s Smart Manufacturing Hub will be part of IMTS this year. Smart Manufacturing asked past Hub speakers to imagine what manufacturing will look like in 2030. Here are their visions:
My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.
