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A package for control and optimization of rotary axes performance.

Manufacturing engineers, information technologists, and “smart” robots in flexible manufacturing cells are working ever more closely in manufacturing companies around the world.

Simulation software has traditionally been used to predict the behavior of a product or system before designs are finalized and to understand the cause of failures after they have happened so that they can be avoided in the future.

Manufacturing Engineering: What are some of the latest trends in simulation software for manufacturing? Uwe Schramm, CTO, solvers, optimization and multi-physics, Altair Engineering Inc., Troy, Mich.: I see three trends here. First, manufacturing sim

COVID-19 has taught manufacturers a valuable lesson: when humans fall ill, machine tools and equipment sit idle. Granted, they already knew it, just as they knew that employees take lunch breaks and vacations, arrive late because their car won’t start, and go work at the shop down the street for fifty cents more an hour.

CEO Jason Walker and part of his team at Waypoint Robotics had just returned from the Modex 2020 show in Atlanta when the governor of his company’s home state imposed a stay-at-home order because of COVID-19.

The Don Schumacher Racing team tests the limits of machining to stay competitive.

Demand for automation and robots is surging in multiple industries, including automotive, writes the CEO of Thomas.com.

As laser manufacturing systems for sheet and tube grow more sophisticated—powerful, automated and scalable—navigating the wealth of choices might feel daunting.

To be more efficient and to have single sources of the truth in their data, customers are seeking to leverage modern, standard application programmer interfaces (APIs) to integrate into their software.