Automotive engineering has never had so much complexity to address. Producing millions of vehicles per year is a daunting feat.
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The industrial world is continuing its adoption of Geometric Dimensioning and Tolerancing (GD&T), the advanced tolerancing methodology. The symbolic language is intended to be both more precise while providing more latitude in allowable variations, replacing the simpler method of adding tolerances to each dimension.
As additive manufacturing emerges from a long infancy, the industry is grappling with a key challenge: A file format and design tools from the 20th century are being asked to do 21st century jobs.
As the move toward a more connected manufacturing industry gains momentum and manufacturers start collecting factory-floor data, the need for fast, efficient data analysis becomes ever more critical.
New ISO safety specification helps automation developers design safer robots for close encounters on the factory floor
Automotive supplier Faurecia (Nanterre, France) decided it needed to get serious about Industry 4.0 fast.
I just returned from IMTS in Chicago and my first thought was, “where will I be able to rack up all those bonus steps I got last week?” On the easiest day, I walked 7.9 miles, and I topped 10 miles on two other days. It’s easy to understand why.
For CMMs, the good times continue to roll. “One of the surprising things that has happened in just the last three to four years is the sheer volume of CMMs that we are shipping,” said Angus Taylor, president of Hexagon Manufacturing Intelligence, North America (North Kingstown, RI). “The market seems to be really exploding.”
In a perfect CNC world, the first part is always a good one. There’s no need for extra blanks or barstock. Setup times are only as long as is needed to swap out a few tools and load a new program. There’s never a crash, never the need to reprogram an inefficient bit of code. The operator just pushes the green button and out pops a finished workpiece minutes or hours later.
When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.