Automatic Error Correction Delivers Reliable 3D-Printing of Truck Tire-Sized Parts
Researchers at the US Department of Energy's (DOE) Oak Ridge National Laboratory (ORNL) are looking to make 3D printing more reliable for large-scale manufacturing — by developing a computer vision system that can detect and correct errors during the printing process.
"It is novel that our controller can sense what is happening and react in real time," claims lead researcher Kris Villez, who partnered with University of Tennessee graduate student Chris O'Brien on the project to improve how 3D printing works for large-scale parts. "It controls the process almost like a human would: by observing and nudging the setting until it reaches the desired outcome."
An array of thermal cameras linked to a computer vision model has been shown to automatically correct for errors in large-scale 3D printing. (📷: Carlos Jones/ORNL)
Fused filament fabrication (FFF) printing, in which a molten material is extruded out into precisely-controlled layers to build up...
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