September/October 2021 Issue
September 2021
Digital Edition
Features
Featured articles from the September/October 2021 issue of Additive Manufacturing
AI to Aid Consistency in Electron Beam Additive Manufacturing
Machine vision and algorithms have helped EBAM users address problems as they occur in deposition, but AI could be able to predict problems before they happen.
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PrintSyst Automates AM Decision Making with AI (Includes Video)
The startup’s cloud-based artificial intelligence tool is designed to help companies adopting additive manufacturing make fast, easy decisions about what and how to 3D print.
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In Manufacturing, AI Is Clumsy Until It Is Invisible
Artificial intelligence is finding wide use in advancing additive manufacturing. We have seen a hint at how far this might go.
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With Binder Jet Aluminum, Ford Prepares for Production 3D Printing at Automotive Scale
Component for popular car will be the first case of continuing applications of additive manufacturing to automotive-quantity metal part production.
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Untangling the Promise of Carbon Nanotubes for 3D Printing
Recently emerged from stealth mode, Mechnano is bringing the promise of carbon nanotubes (CNTs) to life within various modalities of 3D printing. How these tiny additives deliver macro-level material improvements.
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Expanding Materials, Applications for Inkjet 3D Printing
Traditionally, the materials available for inkjet 3D printing have prevented the process from being used in production of end-use parts. But machine vision systems and AI are broadening the materials and applications for inkjet 3D printing.
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Why Self-Supervised Deep Learning May Be Additive Manufacturing's AI Solution
In collaboration with equipment supplier EOS, artificial intelligence experts at NNAISENSE have created a self-taught “deep digital twin” to advance additive manufacturing, starting with direct metal laser sintering of titanium.
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