Phase3D is introducing the next generation of Fringe Inspection, the result of a multi-year development project to create purpose-built inspection hardware for laser powder bed fusion (LPBF). The new product marks a major step in Phase3D’s evolution toward scalable OEM integration.
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Industrial additive manufacturing specialist Melotte has significantly reduced the manual effort involved in managing AM quality data after implementing amsight, while also accelerating root-cause analysis and strengthening the quality evidence available to customers.
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Manufacturers do not need a dashboard full of unexplained anomalies. They need connected intelligence that helps them make better decisions before, during, and after the build. AdditiveOS is central to that because it allows every build to become part of a learning workflow, not just another isolated dataset.
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For much of the last 30 years, the additive manufacturing (AM) industry has understandably concentrated on the additive process itself. Machines have become faster, resolution has improved, build volumes have increased. material portfolios have expanded, and software became more sophisticated.
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Grayscale lithography has long enabled the fabrication of microstructures with continuously varying surface topographies in high surface quality. Now, UpNano GmbH from Vienna, Austria takes this principle into the third dimension. Its newly developed 3D Adaptive Resolution (3DAR) technology enables dynamic control of the printing voxel in all three spatial dimensions during 2-photon polymerization (2PP) 3D printing.
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Metal Additive Manufacturing (AM) has never lacked ambition. It can produce geometries that conventional manufacturing cannot, consolidate assemblies, reduce weight, enable new thermal and fluidic performance, and support more resilient supply chains. In sectors such as aerospace, defence, energy, medical, and advanced engineering, the argument for metal AM is already well understood.
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As metal additive manufacturing moves deeper into production environments, the industry’s quality challenge is changing. Manufacturers are no longer asking simply whether in-situ monitoring can capture process data. They are asking whether that data can help accelerate qualification, reduce inspection burden, and support more confident production decisions.
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Scientists and engineers at Lawrence Livermore National Laboratory (LLNL) have developed a camera-based inspection system that can monitor complex 3D-printed structures layer by layer, using AI and machine learning (ML) to measure tiny variations and potentially identify problems before a part ever leaves the printer.
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Instruct3D has launched its Additive Build Intelligence solution, introducing a new category of technology designed to help metal additive manufacturing users move beyond process monitoring and toward predictable, provable, right-first-time production.
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XYZO has formally launched its automated hybrid manufacturing technology, introducing a new approach to digital production of polymer parts that brings additive manufacturing (AM), precision machining, finishing, inspection, and process control together within one connected platform.
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