While fossil fuels dominate the energy market, expect a new mix of parts as renewable energy and EVs grow in market share.
The emergence of third-generation advanced high-strength steel, known as 3rd Gen AHSS, may have an impact on automotive manufacturing a trade group said.
AI software enables the company to capture relevant runtime metadata and put it into context to create useful information in real time.
FT Precision Uses CAD/CAM Software to increase engine part production.
Basic trends in modern manufacturing are driving growth in 3D optical metrology. “One is the highly complex and high-tech material that manufacturers are using today. For example, in the aerospace turbine blade market, they simply cannot touch the part like they used to—the surface finish of the material is too readily affected by any kind of contact metrology."
Constant refinement of medical machining from tooling design to finished product requires not only the ability to handle a broad range of plastic and metal materials but also to achieve predictable results—particularly in the face of strict regulations.
Four universities—Iowa State University, University of Minnesota, University of Wisconsin-Madison and North Dakota State University (NDSU)—competed in the inaugural 3M Industrial Adhesives and Tapes Disruptive Design Challenge (DDC) at 3M’s headquarters (St. Paul, MN), Friday, April 13.
Machining aerospace materials is a challenging task. Not only are machining operations tightly controlled, a wide variety of workpiece materials are employed, including aluminum, titanium, and carbon-fiber reinforced plastics (CFRPs). The following is a brief guide to cutting tool options for successful machining of airframe components. All of the tools referenced are manufactured by Mitsubishi Materials.
Chuck Mathews, executive vice president, CMO, CTO ESPRIT CAM, part of Hexagon Manufacturing Intelligence, discusses the latest software trends.
In the AI world, fear is driven by unfamiliarity with the process, the professional impact of failure and the daunting tasks of pulling together all of the people and perspectives required just to get started. Here are three key lessons learned from our work with Rolls-Royce and Gulfstream that will clear your AI project for takeoff.
