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The history of cutting tools goes back a ways—a long, long way. Our prehistoric ancestors were pretty good at making stone tools, and the technology has improved from there. I saw how much on a February visit to the Deutsches Museum in Munich, which has an exhibit on the history of machining.

Not long ago, the mention of workholding might call to mind the traditional vise or three-jaw chuck. The integral nature of proper fixturing to successful machining has forever changed that paradigm and made workholding as critical to the manufacturing process as any of the machines or systems of which it is a part.

Using Blockly to make robots easier to install and operate without specialized training.

Modern manufacturing is a data-driven endeavor. The sheer volume of data available to be collected and analyzed is staggering—and something that couldn’t have been envisioned even 20 years ago.

Like most of the digital architecture of manufacturing, computer numerical controllers (CNCs) have advanced rapidly in recent years, producing far more processing speed and implementing advanced algorithms, while at the same time offering simpler, more intuitive user interfaces.

Robots and job shops have not typically been talked about together. After all, everyone knows that automation is only suitable for high-volume production, and the typical mom-and-pop operation is anything but—its schedule filled with orders for high-mix, low-volume, and often highly complex work.

Edge. Cloud. Digital twin. AI. AR. VR. Cobots. Once they were buzzwords. Now, they are becoming technical realities in mid- to large-scale manufacturing plants in North America.

Manufacturers must avoid costly machine errors that cause catastrophic damage to both machine tools and expensive workpieces. Even a minor error in, say, a titanium aerospace component can be a major expense.

Machining gears is still regarded by many machine tool operators as a true challenge and a realm reserved exclusively for specialists.

The “Global Robotics Report 2019” found that 79 percent of automation distributors do not believe their customers understand the safety requirements of installing a collaborative robot, or cobot.