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Data-driven modeling for build angle optimization to improve accuracy of 3D-printed resin crowns
Kaibin Wu1, Chen Zhu1, Qinyang Yan1
1Department of Prosthodontics, School and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction & Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou Medical University, Guangzhou, China.
Optimizing build angles for 3D-printed resin crowns using a quadratic regression model revealed mid-range angles (37-45°) yield superior dimensional accuracy. This data-driven approach enhances precision in digital light processing (DLP) dental restorations.
Area of Science:
- Biomaterials Science
- Additive Manufacturing
- Dental Technology
Background:
- 3D printing of dental restorations is advancing rapidly.
- Optimizing printing parameters is crucial for accuracy and clinical success.
- Digital Light Processing (DLP) offers high resolution but requires careful parameter tuning.
Purpose of the Study:
- To determine the optimal build angles for 3D-printed resin crowns using a quadratic regression model.
- To improve the dimensional accuracy of DLP-fabricated dental restorations.
- To establish a data-driven method for selecting optimal printing parameters.
Main Methods:
- Resin crowns were fabricated using DLP at various build angles (0°, 30°, 60°, 90°) and layer thicknesses (50 μm, 100 μm).
- Dimensional accuracy was assessed via 3D scanning and Root Mean Square Error (RMSE).
- A quadratic regression model was developed to predict accuracy based on build angle.
Main Results:
- Mid-range build angles (37° for 50 μm, 45° for 100 μm layers) resulted in the lowest RMSE, indicating highest accuracy.
- Extreme angles (0° and 90°) showed significant deviations, attributed to shrinkage stress and gravity.
- The quadratic model accurately predicted the nonlinear relationship between build angle and accuracy (p < 0.0001).
Conclusions:
- Mid-range build angles effectively balance structural integrity and dimensional accuracy in DLP printing.
- This approach mitigates distortion while maintaining print efficiency for dental restorations.
- The data-driven method provides evidence-based selection for enhanced precision in DLP dental applications.
