Before the coronavirus pandemic upended normal life and essentially shut down commercial airliners, the aviation industry had a projected need for 40,000 new aircraft—planes, helicopters, air taxis, and unmanned aerial vehicles—in the next 20 years.
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The concept of the digital twin in A&D was born in the 1970s, when NASA began employing full-scale virtual mock-ups of space capsules to forecast the performance of machines in outer space.
It has become far too rare for manufacturers’ visions of an IIoT-fueled utopia to survive contact with reality. A Cisco survey finds that nearly 75 percent of Industrial Internet of Things (IIoT) projects are failing.
As businesses across the globe are returning to work amid the COVID-19 pandemic, many manufacturers are reconsidering policies and procedures to ensure worker safety and adhere to new regulations in the post-pandemic environment.
If you were to rebuild your manufacturing business today, would you build it in the same way, or would you shape it differently to address new challenges and future innovations?
To a discrete manufacturer, process manufacturing is odd territory indeed. It’s a world in which textiles, pharmaceuticals, chemicals, plastics, and food and beverage are produced en masse.
After three years of work, military researchers are near the end of a project to find a faster, cheaper way to make tools for large aerospace parts like skins for wings and fuselages.
In an announcement orchestrated from Barcelona, California-based HP in June announced an expansion of its 3D printing business.
If you ask any number of manufacturers exactly what they felt the first time they crashed a stationary machine tool or dropped portable measuring equipment, you’re bound to get a range of answers—though dread, terror and even nausea will almost certainly be on the list of responses.
Improvements in manufacturing management software, robotics, additive manufacturing and thermal controls are making small batch sizes more cost effective—even for smaller shops. Manufacturing plants are able to reduce inventory, improve throughput and reduce demands on human operators.