Cutting tool technology continues to advance, and manufacturers can take advantage of a wide range of new cutting tool products. In this episode, Alan Rooks, Editor in Chief of Manufacturing Engineering magazine, talks with Tim Easton, National Sales Manager for NTK Cutting Tools.
Engineering information is both pervasive and essential within manufacturing plants. And, it changes constantly as a result of maintenance-related adjustments, alterations in plant processes, or the swap-out of components.
Manufacturers who have deployed the digital or smart factory have put down their pencils, found new uses for their clipboards and closed their spreadsheet programs in favor of using real-time data gleaned from condition monitoring of their machinery.
Information technology and operations technology are unlikely candidates for a successful marriage. But to ensure that manufacturers thrive in the digital age, OT and IT must find ways to work together—or to at least, as on Tinder, swipe right to indicate interest.
Horn Technology Days, hosted by Paul Horn GmbH every two years, is a celebration of manufacturing and what is possible with modern cutting tool technology. This year’s event coincided with the company's 50 year anniversary and featured three days of technical sessions, factory tours and practical demonstrations of the company’s manufacturing products.
In my capacity as the Chair of the Council of the Manufacturing USA institute directors, I often get asked about trends in U.S. advanced manufacturing.
For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.
We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.
The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.
Metrology-grade laser scanners are expanding their range of applications. New users are finding the main attractions of laser scanners—speed and ease of use. What prevented more widespread use in the past were laser scanners’ perceived tradeoffs. Using one usually meant sacrificing accuracy or working with noisy data.
