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IACMI supplies scale-up testing for new composite parts

Until just a few years ago, if a vehicle maker wanted to test the process for making a newly designed composite part at full scale, the company’s R&D engineers would call one of its Tier Ones and ask to schedule a trial run on the composites fabricator’s machines during off hours.

CESMII’s SMIP shines in test drive

In a recent demonstration of the vendor-agnostic Smart Manufacturing Innovation Platform (SMIP) from CESMII, project partners first helped managers of North Carolina State University’s water purification plant get off the dime and analyze the data they were collecting with smart instruments.

Digital Transformation Picks up Speed

Fostering human-centered innovation by developing powerful, easy-to-use tools is at the heart of the new products, enhancements and services showcased during the Siemens Digital Industries Software 2020 Media & Analyst Conference, a two-day virtual event hosted by the Plano, Texas-based company on June 16 and 17.

On-Machine Metrology Drives Efficiencies In Large-Scale AM

In the cornfields of southern Indiana, Thermwood Corp. is making unique large-scale additive manufacturing (LSAM) equipment. LSAM machines produce large- to very-large-sized components from reinforced thermoplastic composite materials, creating industrial tooling, masters, patterns, molds and production fixtures used in the aerospace, automotive, foundry, and marine industries.

One man's war on disaster

Factory safety is not a theoretical issue for Gabe Glynn, CEO of the wearable tech firm MākuSafe.

For older workers, wearables are where it's at

When the ergonomics team at General Motors decided to field test wearables to augment their plant workers’ physical abilities, they partnered with body mechanics experts who collect data in a scientific way—and talked with users.

AutoML 2.0: Making AI in manufacturing simple

Managing sensor performance has become a must-have for manufacturers. The advent and rapid adoption of IoT technology, enabling smart manufacturing systems, has created a two-fold scenario. Intelligent systems at once provide for near-real-time systems monitoring and create a new prediction problem.