Ford Motor Co. unveiled the interior of its new Advanced Manufacturing Center on Tuesday, demonstrating how it’s looking to technology to improve its manufacturing.
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Changes in health care are driving more innovative tooling, including new machining strategies and complex cutting tools that help deliver more patient-centered solutions.
Automotive supplier Faurecia (Nanterre, France) decided it needed to get serious about Industry 4.0 fast.
I traveled to Toyota headquarters in Japan with Jeff Liker for a research project. We wanted to learn more about the engineering and collaboration that created the Toyota New Global Architecture (TNGA), the strategy and innovation behind hydrogen vehicles, and how they had adapted and improved their development system to meet the increasing demands of the ultra-competitive global auto industry.
One of the key advantages of additive manufacturing is its digital thread, which allows for rapid communication, iteration, and sharing of a design model and its corresponding physical representation. While this enables an efficient design process, the flow of data opens vulnerabilities to cyber-attack.
The U.S. auto industry has been automated for decades. Production of cars and trucks is associated with large, hulking robots fenced off from human employees. Inside those fenced off areas, tasks such as welding are performed. The industry, though, is advancing on the automation front.
The growing skills gap is causing trepidation among manufacturers and the lack of millennials building careers within the industry is part of the concern.
The world of additive manufacturing (AM), commonly referred to as 3D printing, is quickly changing. The technology allows companies to manufacture products faster, with greater variation, and often with entirely new forms and functions.
The state of manufacturing is always a combination of tried and true methods; improvements (sometimes dramatic) in traditional processes; and brand new technology few people even conceived of a few years ago.
The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.