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.
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Sales of cars and light trucks plummeted during the Great Recession and General Motors Co. and Chrysler emerged from government-back bankruptcies in 2009. Since then, total industry deliveries have surged, hitting a record 17.47 million in 2015, according to Autodata Corp.
The decision to adopt robotic automation for welding cells is getting easier every day. There are any number of manufacturing considerations influencing that decision, including quality, productivity, and consistency of the weld. Today, however, the key driver is the lack of skilled welders available to fill the requirements of shops both large and small.
To run factories at optimal efficiency, plant managers need to mine real-time shop-floor operational data as fast as possible, to quickly determine where and when any manufacturing process bottlenecks occur. With today’s shop-floor data management software and related hardware solutions, manufacturers can leverage more key production performance data than ever in order to fine-tune their manufacturing processes.
“Five years ago, our fit and finish was below average,” said Dr. Raj Kawlra, director of dimensional strategy and management of Chrysler Group (Auburn Hills, MI). “To be the future world-leaders, we knew that we had to focus on all aspects of quality … vehicles that look good, feel good, sound good, and are reliable.”
It’s been almost two decades since the C5 Corvette hit the streets with its groundbreaking chassis built around hydroformed steel bumper-to-bumper frame rails. The technology gave engineers a chance to create components that were both lighter and stiffer than traditional stamped and welded assemblies.
Siemens is working to fulfill the Industry 4.0 vision with the digital twin, speakers from the software firm told people attending its namesake product lifecycle management (PLM) software conference this week in Orlando, FL.
PLM strategies move manufacturers ahead with improved simulations in the Digital Thread and the latest Industrial Internet of Things (IIoT) applications
Demand for machining titanium for aerospace applications won’t abate any time soon. It is driving OEMs and the supply chain in the commercial airplane market to find ways to dramatically increase machining output. Whatever date you pick from now until 2030, there’s a sufficient backlog of commercial airliners for both structural and jet engine applications to keep spindles humming around the clock cutting titanium.
The challenge of machining hip replacement implants out of cobalt chrome