To facilitate widespread adoption of AM, it will be necessary for material property data to be shared among the design community at large instead by being held by a few large companies.
In 2010 the ASTM F42 Committee on Additive Manufacturing (AM) created the terminology for an industry which up to then was referred to as rapid prototyping (RP). Parts made using the various rapid prototyping technologies were often used as design concept models, fit check mock-ups and function test articles.
Many stylus manufacturers will tell you that custom disks are the designs most often requested for custom fabrication quotes. Like handprints, it seems as though each disk stylus is unique.
Big Data, Industry 4.0, Robotics, and Machine Learning were the focus of the recent Quality Show that was held last week at the Donald E. Stephens Convention Center in Rosemont, IL.
Whether you’re doing internal calibrations or outsourcing it, it’s important to understand calibration basics. This can mean the difference between a company that runs smoothly—or scrambles to get by.
Lean manufacturing (or thinking) can help companies gain a competitive advantage. The core idea is to maximize customer value while minimizing waste (and not compromising productivity).
Lean approaches are helpful for the development and maintenance of documentation compliant with ISO Management System Standards (MSS). These standards include ISO 9001, ISO 13485, ISO 14001, ISO 45001, and many others.
Quality certification is for professionals who know the chosen specialty so well that they can apply the knowledge with known results. The professional knows their own strengths, and the limitation of the specialty.
Times change, technologies change, but the fundamentals of leak testing remain the same – the reliability and repeatability of your test results depend on how well you understand and compensate for testing variables.
A Growing Number of Manufacturers are Using Deep Learning Tools, a Subset of Artificial Intelligence, to Reduce Waste and Improve production. But, Experts Say, Some of it is Just Hype.
An increasing number of manufacturers are turning to deep learning, a subset of artificial intelligence (AI), to assist in image analysis processing, experts say.