MS Defense by Edward Nguyen

Event Details
  • Date/Time:
    • Monday April 20, 2020
      12:00 pm - 2:00 pm
  • Location: REMOTE
  • Phone:
  • URL: BlueJeans Link
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
No contact information submitted.
Summaries

Summary Sentence: Machine Learning for Anomalous Toolpath Identification in Subtractive Manufacturing

Full Summary: No summary paragraph submitted.

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

 

 

Additional Information

In Campus Calendar
No
Groups

Graduate Studies

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Categories
Other/Miscellaneous
Keywords
ms defense
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Apr 15, 2020 - 2:51pm
  • Last Updated: Apr 15, 2020 - 2:51pm