Newcomer in the AM industry turns stealth mode off with AI software platform
The latest company to enter the additive manufacturing market is Uptool, an AI manufacturing software startup “on a mission to accelerate U.S. manufacturing speed...
Managing third-party risks when sharing production data in additive manufacturing
Additive manufacturing (AM) depends on collaboration. Design teams, materials suppliers, machine vendors, software providers and external service bureaus often need access to the same...
How Spherene V3 turns geometry into a tool for smarter flow and heat management
Remember Spherene, the Swiss company operating at the intersection of software design and material development? The company behind the patented Adaptive Density Minimal Surfaces...
Medical 3D-printed devices: What is the impact of powder reuse?
While powder reuse is a legitimate strategy embraced by various industries aiming to optimize sustainability and reduce costs, the healthcare sector must go far...
Senvol helps U.S. Navy Program to implement a standardized procedure for assessing AM parts for quality acceptance and installation
Machine learning software, Senvol ML™, to be used to predict material performance based on in-situ monitoring data
Senvol has received funding from the U.S. Navy...
Structuring data management in AM: Insights from BMW Group and NIST
A single build in additive manufacturing can generate hundreds of gigabytes, even terabytes, of melt pool data. And that’s just a fraction of what...
How does Siemens’ AI-based orchestrator boost productivity across the AM value chain?
In April this year, Siemens and Accenture formed the Accenture Siemens Business Group, a dedicated business practice comprising 7,000 professionals with manufacturing and IT...
Nikon SLM Solutions enhances AM productivity across multiple areas of the manufacturing chain
If LEAP 71’s most ambitious rocket engine proves anything, it’s that Nikon SLM Solutions’ technology can breathe life into geometries once thought impossible. But...
Renishaw and Materialise increase reliance on an open and user-friendly workflow. Here is how.
One of the themes we discuss at Formnext this year is the necessity to have a technology-agnostic approach to additive manufacturing. If this approach...
AON3D claims to cut print times up to 54% with physics-based slicing
Remember when we told you that two critical factors drive efficiency in manufacturing: production throughput and workflow integration? Well this is not only the case for large-scale...