Check out the October 2020 edition of Quality: Understanding laser trackers, Industry 4.0, All-in-one QMS solutions for practical data management, how Edge AI improves the visual inspection process, and much more!
A study by McKinsey & Company found that AI-driven quality testing can increase productivity by up to 50% and defect detection rates by up to 90% compared to human inspection.
Those of us on the march towards Quality 4.0 in our manufacturing companies are grappling with the challenge of producing high quality parts with a minimal investment of time and resources into new inspection methodologies.
While COVID-19-related disruptions threatening to upend manufacturing as we know it, IIoT systems make large-scale remote work possible, improve safety and help with supply chain issues.
Industry 4.0 represents the fourth and newest phase of the Industrial Revolution, one that is centered around interconnectivity, automation, machine learning, and real-time data.
I often take shots at those companies with great quality systems that get their calibration reports, scan them for red flags and then file them away if none are present.
An object hanging from a string, moving back and forth, is more than something used to entertain cats or hypnotize patients in old horror movies. It’s called a pendulum.
If anyone has been in quality for some time, they have probably encountered managers who have painful connections to quality. It is likely that some managers would describe their experience as overwhelmingly negative. Some of these people extend these feeling into anything having to do with quality.
A professional certification is a formal recognition that an individual has demonstrated a proficiency within, and comprehension of, a specified body of knowledge (BoK).
Today there are over 3,500 different grades of steel. In fact, steel is one of the world’s most innovative and essential materials for manufacturing, building and construction.
The COVID-19 pandemic has disrupted our daily lives on an unprecedented global scale. The need to alter our way of life to try to mitigate and contain the virus has made us press pause on everything we take for granted, from visiting family and friends to travelling to work and business continuity.
All objects—from toothbrushes to umbrellas to the components of a space shuttle—experience forces throughout their lifecycles. In performing everyday actions like tying a shoelace or ripping open a package, we all exert forces without even realizing it.
If you take time to understand these definitions, standards and testing methods, you’ll be able to determine the accuracy of CT in your specific application.
I often hear, “How accurate can this be measured using CT?” For CT accuracy and precision should be considered together. For accuracy versus precision, picture a target.
Conversations around quality in metal additive manufacturing often focus on the flashy application of high-frequency, in situ, real-time monitoring systems and the neural networks or machine learning required for map-reduction of the mountains of data generated. There is, however, an often-overlooked aspect of consistently making high-quality parts: calibration.