[1] Fault Classification of FDM 3D Printer in Virtual Environment(Thesis)
[2] Efficient CNN-based Fault Classification for FDM 3D Printer using Embedded Device (KICS Fall 2022)
- Title:
1. Digital-Twin Assisted Fault Detection in Smart Additive Manufacturing
2. Fault Detection on Metaverse Environment for FDM 3D Printer
short clip: <a href='https://drive.google.com/file/d/1G-_aYFnFGchZuBZ8RIkVNJsa_mRvrFVn/view?usp=share_link'> Click Here</a>;
- Book and journal writing
- Prepare for KICS Fall
- Title:
1. Digital-Twin Assisted Fault Detection in Smart Additive Manufacturing
2. Fault Detection on Metaverse Environment for FDM 3D Printer
short clip: <a href='https://drive.google.com/file/d/1G-_aYFnFGchZuBZ8RIkVNJsa_mRvrFVn/view?usp=share_link'> Click Here</a>;
- Book and journal writing
- Design poster for KICS Fall Conference
- Finalize thesis presentation
3D Printer Monitoring
- Prepare document for the metaverse platform
- Waiting for the new dataset for validation
- Waiting for the new dataset for validation
- Finish thesis book
- Finish PPT for Thesis Defense
- Present thesis presentation in NSL
- Finish all the simulation and implementation part
- KICS Fall 2022
- Submit domestic and international conferences (Done with KICS Summer 2022 and ICTC 2022)
- Submit journal
- Graduate