Silicone vs. Metal Molds in the Medical Industry
Some in the medical industry are using silicone rubber molds made with a 3D-printed master pattern for low-to-mid production runs of cast polyurethane device housings.
Some in the medical industry are using silicone rubber molds made with a 3D-printed master pattern for low-to-mid production runs of cast polyurethane device housings.
Intelligent factories have existed since manufacturing’s historical inception, but intelligence—defined as the acquisition and application of manufacturing knowledge—resided only with the factory’s staff.
I’ve had quite a month, again, covering clever software and gadgets that continue to inch their way into performing tasks once reserved for humans. These tasks range from mundane material handling to highly skilled engineering design. It has made me think quite a bit about how our world of manufacturing and engineering will be affected by all this artificial cleverness.
More durable and versatile therapeutic wearable material, more accurate part measurement and improved automation and 3D printing were among the many technologies on display at this year’s Medical Design & Manufacturing (MD&M) East conference, June 12-14, in New York City.
Alex Berry and his team at Sutrue Ltd. (Colchester, England) exploited the benefits of 3D printing prototypes when developing two new automated suturing devices. They also coined a phrase to describe their prototyping technique.
When I graduated with an engineering degree some decades ago, I learned that the organizations I was going to work for had internal communication problems. This was especially true for those that designed and manufactured complex machinery such as engines, aircraft, or automobiles.
My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.
In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.
My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.
Fluence Analytics (formerly Advanced Polymer Monitoring Technologies), a manufacturer of smart industrial and laboratory monitoring systems, recently released the third generation of its ACOMP, an automated system that performs continuous, real-time monitoring and characterization of polymers for 3D printing and other uses during manufacturing and post-processing.