In a recent LNS Research study on the Industrial Internet of Things (IIoT) and Digital Transformation, the top two challenges facing the adoption of IIoT technology are finding the budget to invest (32% of respondents) and building the business case (30% of respondents).
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A strong manufacturing ecosystem that includes manufacturing engineering education is critical to ensuring the future vitality and innovation of manufacturing initiatives in the US. So it was welcome news to learn that the DOD is developing a new manufacturing engineering education (MEE) grant program, authorized by Congress with initial funding of $10 million for fiscal 2017.
The National Center for Manufacturing Sciences (NCMS) (Ann Arbor, MI) and Moog Inc. (East Aurora, NY) have signed a contract to perform co-funded work in support of applying Moog’s VeriPart solution, adapting blockchain technology for additive manufacturing.
The aerospace and defense industries see 3D printing as important to making new designs practical and for holding the line on costs, a Lockheed Martin executive said today at SME’s RAPID + TCT.
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 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.
A Michigan company that displays instructions for manual manufacturing processes on work stations via augmented reality (AR) is adding wearables to provide similar guidance.