Modern manufacturing is rapidly adopting model-based definition (MBD). When employing an MBD strategy, the CAD model becomes more than the nominal to which all parts are measured and inspected against. MBD keeps the all-important digital thread intact—from design to manufacturing to inspection and quality reporting.
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When Desktop Metal introduced its “office-friendly” Studio metal prototype printer earlier this year, the company renewed attention on the issue of safer materials for binder jetting, an additive manufacturing method.
To get to smart manufacturing, the industry needs integration, simulation and analysis.
Are you ready for metamorphic manufacturing, what some call the third wave of the industry’s digitization? If not, take in Contributing Editor Karen Haywood Queen’s expertly reported story.
When visiting some machine shops I hear PM, most commonly known as preventive maintenance, referred to as “postmortem,” as in, “We just run the machines until they die.”
The Copper Development Association (CDA) is eager to help shops discover and tap into the high-speed machining advantages of brass. The substantial benefits of doing so have an increasing number of shops rethinking their part materials and, when possible, converting those parts to brass.
I just returned from IMTS in Chicago and my first thought was, “where will I be able to rack up all those bonus steps I got last week?” On the easiest day, I walked 7.9 miles, and I topped 10 miles on two other days. It’s easy to understand why.
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.