Displaying 1-10 of 473 results for

US manufacturers are discovering the policies of the Trump administration aren’t like a cafeteria. You don’t get choose which policies you want.

A huge confidence gap exists between the number of companies that try digital manufacturing strategies and those that successfully apply them, a new McKinsey & Co. survey found.

While EDMs offer the benefits of holding tight tolerances, working on nearly any metal, and being well suited for delicate or fragile parts, knowledgeable operators for the machines are increasingly hard to find and robots can’t always fill the gap. Automated processes in the machines, newer designs and features of Industry 4.0 are helping to solve the problem.

Meeting the needs of the evolving digital manufacturing initiative, Open Mind Technologies (Needham, MA) has recently partnered with Heidenhain TNC controls (Schaumburg, IL) to provide exclusive first use of their new NC code-based machining simulation solution hyperMILL Virtual Machining.

Buffalo, NY – Niagara Gear, a division of Gear Motions, Inc., recently completed the installation of its first machining cell. The in-house machining capabilities were added to reduce lead-time and provide more flexibility and control to meet customer delivery requirements.

Automotive engineering has never had so much complexity to address. Producing millions of vehicles per year is a daunting feat.

The U.S. auto industry has been automated for decades. Production of cars and trucks is associated with large, hulking robots fenced off from human employees. Inside those fenced off areas, tasks such as welding are performed. The industry, though, is advancing on the automation front.

Efficient creepfeed grinding can remove material quickly and produce a precision ground surface on challenging materials. However, since creepfeed grinding applications typically draw more power and have higher forces, there are important considerations to pay attention to during application setup.

The growing skills gap is causing trepidation among manufacturers and the lack of millennials building careers within the industry is part of the concern.

The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.