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How new CAD/CAM programming and simulation software can help address additive manufacturing processes.

Real-time machine tool data collection isn’t just about helping manufacturers improve productivity and profitability, although that’s certainly a promised outcome.

Q&A with Chad Stoecker, leader at Managed Services GE Digital, IPRC in Lisle, Illinois.

Automatic parallel parking, lane-keeping assistance, sensor-enabled maintenance, infotainment equipment and other advanced electronics are helping many automotive manufacturers differentiate their vehicles in a fiercely competitive, global marketplace.

There have been many process improvement trends in manufacturing over the decades, and none have had more significant ROI than machine monitoring. The increase in machine monitoring is owed in large part to the rise in popularity of the open and royalty-free interconnectivity standard MTConnect.

The latest trends in automation are wide-ranging. They include the integration of the cloud, Big Data and the Internet of Things; protecting the software that runs a plant from hackers; manufacturing execution system (MES) apps that can be deployed a la carte; collaborative cobots that can safely do the heavy lifting side-by-side with humans; and robots that can do more than ever before—both on the production line and well away from it.

Urschel Laboratories has come a long way since its founder William E. Urschel introduced the gooseberry snipper to Michigan canneries in 1910. Today, the company’s innovative machines are used by virtually every food processing manufacturer worldwide to slice, dice, trim, grate, and process foods that are stored in pantries and refrigerator shelves. For the record, Urschel’s gooseberry snipper machine handled the removal of a stem and thick bud appendage from the berry.

McDermott International is using Digital Twins to grow its business and to keep information flowing instead of trapped in silos.

A self-described “river rat” during his teenage years, Herbert B. Voelcker grew up in the small town of Tonawanda, NY, just north of Buffalo, where as a young man he grew to love the water, boats, and steam engines. His early fascination with how things worked eventually led him to study mechanical engineering at the Massachusetts Institute of Technology (Cambridge, MA), and to embark later on a greatly varied technical career highlighted by his research into the mathematical foundations for 3-D solid modeling.

With more factory assets getting connected to the Web, particularly with the coming explosion of Internet of Things (IoT) devices, today’s manufacturing management must look for rock-solid technologies for securing their factory-floor machinery and the mission-critical intellectual property assets that now often reside in cloud-based software.