Laser Powder Bed Fusion
Assembly Line
Velo3D proves distributed manufacturing on a global scale
While conventional manufacturing technology has delivered in-country products on a global basis for decades – it has often involved dedicated, high-cost production assets and personnel that lack flexibility. Supply chain issues with procurement, as well as production lag times inherent to technologies like casting, can further add to costs and delayed delivery of conventionally manufactured products.
“We now have the confidence, whether it’s two weeks from now or two years from now, to print that same print file at any of these suppliers in the future,” said Zach Walton, director of technical business development at Velo3D. “With the Digital Product Definition, spelled out in API20S as a collection of data required to reproduce the additively manufactured component, unchanged from the 2021 project, this demonstrated the ability to not have to requalify or redevelop – which is a big win for the O&G as well as other industries trying to deploy distributed manufacturing.” These results are an important benchmark in demonstrating that distributed manufacturing using advanced metal laser powder bed fusion (LPBF) technology is achievable in the real world.
UVA Research Team Detects Additive Manufacturing Defects in Real-Time
Introduced in the 1990s, laser powder bed fusion, or LPBF uses metal powder and lasers to 3-D print metal parts. But porosity defects remain a challenge for fatigue-sensitive applications like aircraft wings. Some porosity is associated with deep and narrow vapor depressions which are the keyholes.
“By integrating operando synchrotron x-ray imaging, near-infrared imaging, and machine learning, our approach can capture the unique thermal signature associated with keyhole pore generation with sub-millisecond temporal resolution and 100% prediction rate,” Sun said. In developing their real-time keyhole detection method, the researchers also advanced the way a state-of-the-art tool — operando synchrotron x-ray imaging — can be used. Utilizing machine learning, they additionally discovered two modes of keyhole oscillation.
BMW Creates Fully Automated Production Lines for 3D Printed Car Parts
By utilizing systems made up of laser powder bed fusion (LPBF) platforms, combined with AI and robotics, that it has developed, the IDAM consortium can print 50,000 series parts a year, as well as 10,000 new and individual parts. Opened in 2020, BMW’s campus at Oberschleißheim has 50 3D printers for both metal and plastics. Aside from investing in a variety of 3D printing startups, including Desktop Metal and Xometry, the company also employs HP MultiJet Fusion (MJF) and EOS machines, among other brands.