Metal

Aerospace 24 Nov 2023

Zenith Tecnica Manufactures 3D Printed Hardware for NASA Psyche Mission

The node components designed by Maxar Space Systems were well suited to the advantages of EBM AM due to their complex geometries.

Polymer 24 Nov 2023

EOS Names Advanced Manufacturing Solutions its Northwest Distribution Partner

Advanced Manufacturing Solutions will carry the full line of EOS polymer and metal 3D printers.

LPBF 22 Nov 2023

Cumberland Additive Acquires Stratasys Direct Manufacturing Metals Operations, Doubles Metal AM Capacity

The agreement also expands and diversifies Cumberland’s material offerings in aluminum, copper and other metal materials.

Materials 22 Nov 2023

Dyndrite, Constellium, Elementum 3D, Sandvik Establish Materials Consortium for 3D Metal Printing

This joint effort aims to make laser bed power fusion (LPBF) powder parameters and related testing data for common materials freely and publicly available to end users, enabling increased knowledge sharing, better outcomes, and faster adoption of materials and techniques.

Metal 22 Nov 2023

Jeol’s Electron Beam 3D Printer Meets Aerospace Qualification Standard

The company says that meeting the AMS7032 operational qualification standard ensures manufacturers that Jeol’s JAM-5200EBM is capable of producing aerospace-grade material with stable performance and meets all material specification requirements.

Metal 21 Nov 2023

Copper, New Metal Printing Processes, Upgrades Based on Software and More from Formnext 2023: AM Radio #46

Formnext 2023 showed that additive manufacturing may be maturing, but it is certainly not stagnant. In this episode, we dive into observations around technology enhancements, new processes and materials, robots, sustainability and more trends from the show.

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Materials 15 Nov 2023

Researchers Develop Method for Creating Customized 3D Printed Metals With Contrasting Properties

Researchers were able to use 3D printing techniques and tweak printing parameters to produce a 3D printed metal with different microstructures that create stronger and weaker regions in the exact locations in the metal that they wanted.

Qualification/Certification 13 Nov 2023

Inspection Method to Increase Confidence in Laser Powder Bed Fusion

Researchers developed a machine learning framework for identifying flaws in 3D printed products using sensor data gathered simultaneously with production, saving time and money while maintaining comparable accuracy to traditional post-inspection. The approach, developed in partnership with aerospace and defense company RTX, utilizes a machine learning algorithm trained on CT scans to identify flaws in printed products.