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SUBJECT
M.S. Thesis Presentation
PRESENTER
Edward Nguyen
DATE
Monday, April 20, 2020 @12:00 PM
LOCATION
https://bluejeans.com/564086576
TITLE
Machine Learning for Anomalous Toolpath Identification in Subtractive Manufacturing
COMMITTEE
Dr. Christopher Saldana, Chair (ME)
Dr. Thomas Kurfess, Co-Chair (ME)
Dr. Katherine Fu (ME)
SUMMARY
The study aims to identify and classify machining phenomenon compared to a reference signal to determine if the toolpath mimics reflects the intended behavior. To accomplish this, a Computer Numerical Control (CNC) milling machine is instrumented with accelerometers to track and record vibrations. This data is collected from the spindle and processed using a machine learning algorithm that segregates signatures based on selected features and classifies them as expected behaviors or anomalous.
Presentation Participation Information
Phone Dial-in
+1.888.748.9073 (United States(Primary))
+1.844.540.8065 (United States(Primary))
+1.408.419.1715 (United States(San Jose))
+1.408.915.6290 (United States(San Jose))
Global Numbers: https://www.bluejeans.com/premium-numbers
Meeting ID: 564 086 576
