An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.
The increased use of CT scanning for metal powder bed fusion parts is usually associated with high-value parts and elevated quality requirements. There are increased requests for CT scanning on parts made of engineering-grade polymers like PEEK, PEKK or ULTEM and for fiber-reinforced composites like Nylon 12 CF.
Imagine hearing the news that manufacturers are producing a proven and safe vaccine for COVID-19 and shipping it your way. It will be music to the world’s ears.
The low temperature intrinsic to solid-state printing processes allows manufacturers to weld layers of dissimilar metals without fear of metallurgical incompatibility issues.
It’s easy to become dazed by the continuing stream of buzz words. For those of us in manufacturing, all this buzz creates a sense of impending change, but no clarity on what that change might be. Uncertainty means anxiety.
Nearly a year ago, the world became aware of a new computer virus known as WannaCry. Many institutions were affected by the ransomware. It encrypted and locked a Microsoft Windows computing system and demanded payment.
The next cycle of technology disruption is upon us. Artificial Intelligence (AI) is taking hold in every industry and manufacturing is no exception. AI enables companies—from medical device and electronics manufacturers to pharmaceutical firms—to leverage their Big Data and IoT investments to see new patterns and insights and to perform tasks more efficiently and quickly than ever before.
Companies like ABB, Balluff and Sick would be within their rights to film a commercial with exuberant sensor product managers breaking out in a song of cheer.
What is good about inventory? Being able to find a part when you need it. What’s not so good about inventory? Where to even start…
Although laser welding is a well-established manufacturing solution, many sheetmetal fabricators have been hesitant to implement the process at their shop.
