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A new breed of turbochargers constructed of super tough alloys operates at higher temperatures and rotational speeds than ever before, resulting in greatly increased output in a smaller package for gas and diesel engines alike.

Demand for automation and robots is surging in multiple industries, including automotive, writes the CEO of Thomas.com.

A Michigan company that displays instructions for manual manufacturing processes on work stations via augmented reality (AR) is adding wearables to provide similar guidance.

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.

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.

The demand for titanium components by the aerospace industry began as a whisper about 15 years ago and steadily grew to a sustained, raucous shout over the last five and likely won’t quiet for several more.

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.

Vibrations, chatter marks, and tool failure are all problems that can be prevented with intelligent monitoring and feedback systems.

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.