Laser powder bed fusion is a dominant additive manufacturing technology that has yet to reach its potential. The problem facing industry is that tiny bubbles or pores sometimes form during the ...
Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...
Tech Xplore on MSN
Blame the model, not the machine—better data helps 3D-printed metamaterials match predictions
Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an engineered structure that leads to desired properties such as, for instance, ...
Researchers can now detect the formation of keyhole pores, one of the most challenging defects common in additive manufacturing, with incredible accuracy. A research team led by Tao Sun, associate ...
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
A growing number of academic and industrial research groups regard the integration of artificial intelligence-based algorithms into the 3D printing process as a promising approach to improve the ...
This research was part of APL's ongoing efforts with the Naval Air Systems Command to understand the effects of defects in additive manufacturing. "Our current research is now using this finding ...
Aerospace and Mechanical Insider on MSN
Formnext 2023 highlights shaping additive manufacturing's future
Formnext 2023 closed its doors with a strong showing that underscored the resilience and momentum of the additive ...
Research reveals how pores form during metals additive manufacturing and become defects trapped in solidifying metal. The practical value of this research is that it can inform industry on how to ...
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