Additive Manufacturing

Researchers at the University of Illinois have developed a new method for detecting defects in additively manufactured components. One of the most important tasks in any factory is to determine whether a manufactured component is free of defects. In additive manufacturing, it can be particularly challenging to find defects, because additive manufacturing can make components that have complex three-dimensional shapes and important internal features that are not easily observed.

Hello Additive has announced the release of its groundbreaking Dragon Software, designed to revolutionize the additive manufacturing industry. Dragon Software offers advanced capabilities for optimizing the 3D printing process.

Phase3D, a company at the forefront of additive manufacturing (AM) inspection innovation is the first company to correlate measurable metal powder bed fusion build anomalies to final part defects in real-time.

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.

The cooperation between nLIGHT and EOS includes the implementation of a series of complementary laser-based technologies to optimize the AM light engine for robust industrial 3D printing production.

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.

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.