To get to smart manufacturing, the industry needs integration, simulation and analysis.
Demand for automation and robots is surging in multiple industries, including automotive, writes the CEO of Thomas.com.
Additive manufacturing (AM) in medicine continues to grow each year. It is a remarkable enabler, but the industry is fraught with barriers to adoption, slow for the sake of patient safety.
With today’s focus on lightweighting, hollow parts made from composite materials, such as ducting, fuel tanks, mandrels, and rocket shrouds, are in higher demand than ever before. The composite ducting market in the aerospace and defense sector alone is expected to reach $864.7 million by 2024, according to a recent report from Stratview Research.
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.
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.
In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.
My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.