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Spatially Resolved Defect Characterization and Fidelity Assessment for Complex and Arbitrary Irregular 3D Printing
Bowen Fan1, Shanshan Yang1,2, Ling Wang1,2
1School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Sensors (Basel, Switzerland)
|June 19, 2024
Summary
This study introduces a 3D printer-associated optical coherence tomography (3D P-OCT) method for defect detection and fidelity assessment in 3D bionic models. The approach enables in situ defect visualization and repair, significantly improving printing accuracy.
Area of Science:
- Additive Manufacturing
- Biomedical Engineering
- Metrology
Background:
- Achieving high-fidelity 3D printing of complex bionic models presents significant challenges.
- Accurate defect characterization and fidelity assessment are crucial for reliable additive manufacturing.
Purpose of the Study:
- To develop and validate a method for spatially resolved defect characterization and fidelity assessment in 3D printing.
- To enable in situ defect visualization and facilitate repair for enhanced printing accuracy.
Main Methods:
- Integration of 3D printer-associated optical coherence tomography (3D P-OCT) with GCode information.
- Generation of a defect characterization map by comparing target and reconstructed 3D models.
- Detection of defects including material accumulation, filament breakage, under-extrusion, and stringing.
Main Results:
- Demonstrated effective detection of over-extrusion defects on complex geometries.
- Improved fidelity of a HAP scaffold from 0.8398 to 0.9048 after filament breakage repair.
- Validated the method's capability for in situ defect visualization and repair.
Conclusions:
- The proposed 3D P-OCT and GCode-based method enables accurate, spatially resolved defect characterization and fidelity assessment.
- This approach facilitates defect visualization and repair, leading to high-fidelity 3D printing of bionic models.
- The findings support the advancement of precise additive manufacturing for functional and anatomical models.
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