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
Start Date
4-24-2025 1:30 PM
End Date
4-24-2025 3:30 PM
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Copyright
This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.
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
