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Expanding use of ever-harder materials has opened the door to wider use of grinding processes on materials such as titanium, ceramics, and superalloys.

Considered by many to be the “Father of Quality Management,” Dr. Joseph M. Juran is recognized as the man who added a human dimension to quality, expanding it from its statistical origins to a broader management science.

Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.

PLM strategies move manufacturers ahead with improved simulations in the Digital Thread and the latest Industrial Internet of Things (IIoT) applications

Automotive supplier Faurecia (Nanterre, France) decided it needed to get serious about Industry 4.0 fast.

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.

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.

While high-end metrology devices like advanced laser scanners or precision CMMs garner a lot of attention, it is hard to imagine any industrial setting without the presence of work-a-day hand-held, contact metrology tools such as calipers or micrometers. That is what Justin Frazzini, quality manager for A.A. Jansson (Waterford, MI), retailer and calibration and repair service provider, observes in his practice.

As machine vision technologies improve, providing more data more frequently, new uses for inspection during the manufacturing process are emerging. The automotive industry might represent the ultimate challenge to providers of machine vision equipment used in robotic guidance and material inspection.

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.