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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.

An interview with Diego Tamburini, Principal Industry Lead, Azure Manufacturing Microsoft Corp.

There is no better way to resolve a problem than by eliminating it entirely. At least that’s how KTH Parts Industries Inc. (St. Paris, OH) regarded its decision to automate a manual equipment changeover process for its robotic welding cells.

Visitors to the Valley of the Sun were recently treated to a dizzying display of software technology at Arizona’s Phoenix Convention Center. From June 4-7, the Siemens PLM Connection—Americas 2018 user conference hosted thousands of visitors from hundreds of manufacturing companies.

Successful manufacturing companies and distributors know the importance of a good ERP system. Without it, shipments suffer and profits fall. Part of keeping the ERP wheels greased, however, is staying current on software technology, as well as networking with industry peers.

There are plenty of manufacturing catchphrases: the Industrial Internet of Things (IIoT), Industry 4.0 and the Digital Factory. “Sometimes it’s a lot of buzzwords. Sometimes there’s a lot of reality behind it,” said Roger Hart, research and development manager of Siemens (Berlin and Munich, Germany).

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.

Have collaborative, six-axis robots reached a tipping point in establishing their niche in manufacturing? And could they be opening doors for manufacturers to adopt automation overall?

Industrial lasers require cooling to remove excess heat generated in the resonator power electronics and the optics system. The type of cooling required is determined by laser wattage, resonator efficiency, resonator and optics temperature requirements, and ambient temperature.

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.”