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Holistic Quality Control In Additive Manufacturing Using ZEISS 3D ManuFACT

As always, when a new technology emerges in a market, there are always questions. One of them is quality assurance. Jens Heyder points to a monitor that shows two images taken with the ZEISS Axio Imager light microscope at 50x magnification. On the left you can see a section of a good component. There are no large defects visible, only small pores.

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Aibuild Launches AI-powered 3D Printing Software Version 2.0

Successful 3D printing adoption, as part of a manufacturing process, is dependent on consistency, repeatability and predictability of outcome. Aibuild is designed to enable fast, efficient and predictable additive manufacturing providing manufacturability insights through online control of printers and real-time sensor information, compiled per build.

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New Technique Improves Finishing Time for 3D-Printed Machine Parts

North Carolina State University researchers have demonstrated a technique that allows companies who manufacture metal machine parts with 3D printing technologies to conduct automated quality control of manufactured parts during the finishing process. The technique allows users to identify potential flaws without having to remove the parts from the manufacturing equipment, making production time more efficient.

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Automated Powder Bed Analysis Uses Smart Defect Detection Software

Isar Aerospace has connected the nebumind software into their machine environment automating the defect detection for each recoating layer. The software receives powder bed images before and after recoating, generated by an optical camera with a resolution of 1280 x 1024 pixels, and extracts them automatically via the direct machine interface.

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