Prediction of Mechanical Property of Metal 3D Printed Parts Affected by Process Interruptions using Machine Learning Method
Location
Russell Union Ballroom
Session Format
Poster Presentation
Co-Presenters and Faculty Mentors or Advisors
Mentor- Dr. Hossein Taheri
Author Rights: Apply an Embargo
5-5-2025
Presentation Type and Release Option
Presentation (File Not Available for Download)
Start Date
4-24-2025 1:30 PM
End Date
4-24-2025 3:30 PM
Recommended Citation
Chigurupati, Poojith Chowdary, "Prediction of Mechanical Property of Metal 3D Printed Parts Affected by Process Interruptions using Machine Learning Method" (2025). GS4 Student Scholars Symposium. 164.
https://digitalcommons.georgiasouthern.edu/research_symposium/2025/2025/164
Prediction of Mechanical Property of Metal 3D Printed Parts Affected by Process Interruptions using Machine Learning Method
Russell Union Ballroom