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

Dedicated in-house labs create and optimize laser welding processes for electric motors and batteries.

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.

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.

Methods Machine Tools Inc. is hosting TechDay2020 – Phoenix on March 24th-25th and TechDay2020 – Los Angeles on March 26th. TechDay2020 is an open house style event where attendees will be able to attend multiple seminars, see individual product demonstrations, and talk with Methods Engineers about machine tool and automation applications that are specific to their business.

Hitachi Powdered Metals (USA) Inc. began a gradual investment in industrial robots at their Greensburg, Ind. plant in 2005, driven by the emergence of a tightening labor market and the opportunity to produce an extremely fragile product.