Last March when the pandemic hit, we had to shift in a lot of different ways, didn’t we? The lessons we learned and the actions we took in our personal and business endeavors during the early weeks of the pandemic may become a permanent pattern in the fabric of our lives.
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.
Effective milestones are an important part of a company’s development process, especially in today’s era of team-based sprints and stand-ups. Yet many companies struggle to successfully create and employ milestones; and some don’t even understand their relevance beyond updating senior leadership.
Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.
Additive manufacturing lets companies think “outside the box.” Engineers can now start to look at a part without restrictions on size, shape or material. Instead of taking 15 different CNC milled parts and brazing them together, these companies have reimagined the part entirely—to be built as one part.
Living with the day-to-day reality of COVID-19 can be challenging for individuals. Running a business in this pandemic era is an order of magnitude harder.
Additive manufacturing (AM) in medicine continues to grow each year. It is a remarkable enabler, but the industry is fraught with barriers to adoption, slow for the sake of patient safety.
With today’s focus on lightweighting, hollow parts made from composite materials, such as ducting, fuel tanks, mandrels, and rocket shrouds, are in higher demand than ever before. The composite ducting market in the aerospace and defense sector alone is expected to reach $864.7 million by 2024, according to a recent report from Stratview Research.
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.
