Much has been written about potential applications for 5G. But a less well known application exists in the aerospace and defense industry—that pertains to manufacturing processes.
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.
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.
CERATIZIT said it has developed a combination tool for heavy goods vehicle (HGV) freeze plug/water plug boring.
Because its president saw opportunities to improve efficiency and an immediate need to make up for capacity lost due to impending worker retirements, Daiwa Steel Tube is set to save more than $1 million a year.
Abrasive machining is a tried-and-true technology for meeting exacting tolerances and producing superior finishes. Manufacturers continue to develop new capabilities.
After three years of work, military researchers are near the end of a project to find a faster, cheaper way to make tools for large aerospace parts like skins for wings and fuselages.
The institutes that make up Manufacturing USA need to move at the speed of business, considering that the endeavor represents the U.S. government’s biggest investment in the digitization of manufacturing to date.
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.
