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SUMMARY:Measurement automation for additive manufacturing using computer v
 ision - Prof William P. King\, Department of Mechanical Science and Engine
 ering\, UIUC 
DTSTART:20230519T130000Z
DTEND:20230519T140000Z
UID:TALK197857@talks.cam.ac.uk
CONTACT:Hilde Hambro
DESCRIPTION:A critical step in production manufacturing is the assessment 
 of whether a whether a part has been made within expected tolerances and f
 ree of defects. For production additive manufacturing (AM)\, this step is 
 particularly challenging and costly. AM parts often have complex geometrie
 s that can be difficult to measure using conventional tactile probes. Furt
 hermore\, many AM processes have accuracy and the presence of defects that
  are strongly affected by part geometry\, motivating new and scalable meas
 urement strategies. This talk describes research on metrology automation t
 o measure and analyze parts made with AM. Our work is conducted in collabo
 ration with a commercial AM factory using production machines and engineer
 ing materials\, allowing us to study thousands of AM parts and conditions 
 relevant for end use applications. The research collects vision informatio
 n from AM parts including photographs\, high resolution 2D or 3D scans\, a
 nd X-ray computed tomography (CT). These images are used to train machine 
 learning algorithms that accurately recognize defects\, measure part dimen
 sions\, and predict part tolerances. This scalable measurement automation 
 allows us to collect large numbers of part measurements far beyond what is
  possible with conventional methods\, enabling new insights about the AM p
 roduction environment. \n\nWilliam P. King\, Ph.D. is Professor and Ralph 
 A. Andersen Endowed Chair in the Grainger College of Engineering\, Departm
 ent of Mechanical Science and Engineering. He holds courtesy appointments 
 in Electrical and Computer Engineering and Materials Science and Engineeri
 ng. He is the founder of three companies including Fast Radius Inc.\, whic
 h operates one of the world’s largest additive manufacturing factories a
 nd was recognized by the World Economic Forum for its technical achievemen
 ts. He is a Fellow of ASME\, AAAS\, APS\, IEEE\, SME\, and the National Ac
 ademy of Inventors. 
LOCATION:Oatley Seminar Room\, Department of Engineering
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