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The Industrial Internet of Things (IIoT) has elements of the fairy tale Jack and the Beanstalk.

The appeal of multitasking machining isn’t difficult to understand. Multitasking machines overcome some limitations of conventional machines and work their own special brand of magic in subtractively processing parts. From the earliest mill-turn machines to today’s most advanced multifunction machines featuring simultaneous processing, manufacturers have recognized that productivity-enhancing multitasking machining and quality go hand in hand.

Jon Sobel, CEO and Co-Founder of Sight Machine Inc. in San Francisco, sat down with Senior Editor Patrick Waurzyniak to discuss numerous topics related to Controls and Software, including how Sight Macine Inc. uses analytics software to help shops leverage plant-floor data.

With more factory assets getting connected to the Web, particularly with the coming explosion of Internet of Things (IoT) devices, today’s manufacturing management must look for rock-solid technologies for securing their factory-floor machinery and the mission-critical intellectual property assets that now often reside in cloud-based software.

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.

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.