US EditionDetecting 3D-Printing Defects in Real Time
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Detecting 3D-Printing Defects in Real Time
Researchers used diagnostic tools and machine learning to develop a new method for detecting and predicting defects in 3D printed materials. The method uses various imaging and machine learning techniques to detect the generation of pores in real time with near-perfect accuracy.
·Charlottesville, United States
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