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Tulane Spinoff Enables Smart QA in Polymers

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.

Turbos Turn Up the Heat with Challenging Materials

A new breed of turbochargers constructed of super tough alloys operates at higher temperatures and rotational speeds than ever before, resulting in greatly increased output in a smaller package for gas and diesel engines alike.

A Hero’s Journey: Automating Tooling Management

Unlocking Efficiency: Revolutionizing Tooling Management for Manufacturing Excellence. Discover how advanced automation software and hardware solutions are transforming tool inventory control, enhancing productivity, sustainability, and cost-effectiveness on the shop floor.

AM in the Medical Field

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.

3D Printing Delivers New, Easy-to-Use Washout Tooling for Composites

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.

Shops Continue to Rethink Brass and HSM

The Copper Development Association (CDA) is eager to help shops discover and tap into the high-speed machining advantages of brass. The substantial benefits of doing so have an increasing number of shops rethinking their part materials and, when possible, converting those parts to brass.

Real Thinking About Artificial Intelligence

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.