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“Metrology and its relationship to manufacturing is rapidly evolving,” Ken Woodbine, president, Wilcox Associates, a brand of Hexagon Metrology (North Kingstown, RI), recently observed. “We are seeing larger quantities and faster speeds of measurement data collection. The next challenge is what to do with all that data.”

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.

The classic manufacturing conundrum is how to make products quicker, cheaper, and better.

While suppliers are under more pressure than ever to produce precision parts faster and with less scrap, in-process metrology means manufacturers can detect as soon as possible when a part is going wrong, correcting the issue quickly and saving it from scrap.

Manufacturers need to embrace artificial intelligence to make their operations more efficient, a consultant said.

Yamaha Motor Co., Ltd., a manufacturer of diverse motorized products in Japan, has selected Siemens to provide product lifecycle management (PLM) software to support its digitalization initiative.

Vericut 8.1 includes a new additive manufacturing [AM] module that simulates additive and hybrid machining processes used in any order, and on any brand NC machine. AM has reached a maturity level and has proven to be a valuable addition to manufacturing strategies.

Manufacturers face a difficult task juggling the current “innovation agenda.” Today, the Industrial Internet of Things (IIoT), robotic automation and artificial intelligence (AI) are all poised to be the next big thing.