Displaying 51-60 of 84 results for

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.

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.

Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.

Additive manufacturing lets companies think “outside the box.” Engineers can now start to look at a part without restrictions on size, shape or material. Instead of taking 15 different CNC milled parts and brazing them together, these companies have reimagined the part entirely—to be built as one part.

One of the reasons the aerospace industry is so often talked about in trade journals is that it lives on the edge of new manufacturing technology development.

TRUMPF North America is embracing 3D printing, smart manufacturing and a vibrant workforce.

Additive manufacturing (AM) once was called “rapid prototyping.” Its earliest forms made prototype parts—and nothing else. However, manufacturers were intrigued by the prospect of using it to make cost-effective metal parts in production. That day is here.

Convergence-enabled cyberattacks—where criminals exploit traditionally isolated operational technology (OT) devices through their new connections to the IT network—may be motivated by the desire to hijack and demand ransom for services, steal trade secrets through industrial or national cyberespionage, or commit cyberterrorism or engage in cyberwarfare.