Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...
Two studies, led by Rajiv Malhotra have illustrated how AI can support the broader use and faster evolution of AM technology.
A team of researchers from the University of Virginia, Carnegie Mellon University, and the University of Wisconsin-Madison has made a breakthrough in the field of additive manufacturing that could ...
Senvol is to demonstrate that its machine learning software can accurately predict the material performance of parts made on ...
Senvol receives U.S. Navy funding to develop machine learning-based sensor fusion for metal additive manufacturing.
Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper, ...
This workshop will explore opportunities to use statistical and data-driven methods for additive manufacturing qualification, including approaches that enhance dimensional accuracy and recent advances ...
Morning Overview on MSN
AI creates a new alloy that’s 5x stronger than traditional aluminum
Artificial intelligence has just helped push one of the world’s most familiar metals into unfamiliar territory. By teaming advanced algorithms with 3D printing, researchers have created a new aluminum ...
Industry experts shed some light on the critical aspects of software for additive manufacturing. From advanced capabilities to the trends in the CAD/CAM/PDM/PLM market, get answers to help empower ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback