The history of cutting tools goes back a ways—a long, long way. Our prehistoric ancestors were pretty good at making stone tools, and the technology has improved from there. I saw how much on a February visit to the Deutsches Museum in Munich, which has an exhibit on the history of machining.
On May 9, I took a whirlwind tour of change in manufacturing by visiting several open house events. First up was BIG Kaiser Precision Tooling Inc. in Hoffman Estates, IL, where Matt Tegelman, applications manager and product manager Kaiser, talked about the Industrial Internet of Things.
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.
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.”
Demand for automation and robots is surging in multiple industries, including automotive, writes the CEO of Thomas.com.
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.
