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Automotive is one of the most highly-automated industries in the world, and it has been a leading force in expanding the use of industrial automation for decades. In fact, the first industrial robot in production was a Unimation UNIMATE that GM installed on a die-casting line in New Jersey in 1962.

Titanium, stainless steel, aluminum and other super-alloys and exotic materials are on the rise for use in component manufacturing in growth industries such as aerospace, medical, and automotive.

When wrestling with vexing issues such as product complexity, lightweighting, advanced materials and new manufacturing methods, today’s manufacturing engineers increasingly use high-fidelity simulations to visualize solutions to these challenges.

While laser marking and engraving are well-established processes, innovations and investments in the sector are continuing to push performance boundaries.

From producing lithium-ion batteries to processing sheetmetal, new laser welding systems are “pushing the envelope” of light absorption, beam control, speed and programming flexibility.

I’m among the first to dive into the latest manufacturing innovations and see how they can improve our customers’ operations. Yet, I’m also among the first to advise them to pause and ensure that the fundamentals of their manufacturing processes are in place before adding something new into the complex mix of functionality and desired outcomes.

The next “dynamic duo” may not involve humans at all. “Machine vision and robots make for a perfect marriage,” stated Klas Bengtsson, global product manager, vision systems for ABB Robotics (Auburn Hills, MI). This is not new. Vision and robotics have gone hand in hand for years.

The University of Illinois at Urbana-Champaign (UIUC; Urbana, IL) has a long, distinguished history and tradition in mechanical and applied engineering sciences, and the university will soon celebrate the opening of a long-planned, multi-million-dollar expansion to its Mechanical Science and Engineering (MechSE) building.

A key success factor for Industry 4.0 and IIoT (Industrial Internet of Things) initiatives is the emergence of more and better sensors in machining centers, and even in the cutting tools themselves. These sensors provide the data and connectivity that are the foundation for the “factory of the future.”

ECi services a multitude of industries, but we presently have four products that service manufacturing and what FABTECH attendees would be focused on: these include Macola, Max, JobBoss, and M1, which is the product I represent.