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It is reported that, not too long ago, before the current precipitous decline in machine-tool shipments, the number of 30-taper machines that were being manufactured and sold in Japan had surpassed the numbers of 40-taper and 50-taper machining centers.

Overall, there are two overriding customer needs: reducing cycle time and machine downtime. They want higher feed rates and depth of cut for greater metal removal.

The industrial revolution of today, called Industry 4.0, is driven by the interconnectedness of advanced technology, automation, robotics, and real-time data, also called the Internet of Things (IoT). While these cyber-physical systems can autonomously exchange information to trigger actions and make decentralized decisions, it’s impossible to dismiss the importance of the human element in manufacturing.

After petroleum prices collapsed in the mid-2010s, shale oil and gas producers responded to the down-swing by borrowing techniques and technology from the energy sector’s offshore well operations, manufacturing, and even the medical industry to increase efficiency.

Glenn Bridgman describes the difference between his shop’s manual grinders and its newest state-of-the-art CNC ID/OD grinder, a Studer CT960 OD/ID from United Grinding (Miamisburg, OH), as “feel vs. facts.” Bridgman, president of Bridge Tool & Die (Buckley, MI), believes that manual grinding is a somewhat personal operation.

Powerful trends will push manufacturing close to complete automation by 2050, while the people still working in the industry will be empowered to rapidly innovate like never before.

Being a competitive player in the aerospace and defense industry is no small feat. In an industry in which you need to be accountable for every piece of an assembly, meeting customer expectations and requirements can be daunting tasks.

A conversation between Smart Manufacturing Editor in Chief Brett Brune and Sridhar Kota, professor of mechanical engineering at the University of Michigan and Executive Director of MForesight. 

Within manufacturing, a shift has begun to extend big data analytics and condition monitoring beyond the factory door to both ends of the supply chain—to customers, other end users and to second-and third-tier suppliers.

The concept of attaching data to CAD models, such as GD&T, seems to be growing. Using model-based definition, the industry is beginning to take advantage of the technique.