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Effects of support-structure design and postpolymerization protocols on dimensional changes in three-dimensionally
Sahaprom Namano1, Manabu Kanazawa2, Keyu Qi3
1Lecturer, Division of Academic Affairs, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand; and Resident, Prosthodontics Division, Department of Restorative Sciences & Biomaterials, Boston University Henry M. Goldman School of Dental Medicine, Boston, Mass.
The tree-like support structure and a 60°C, 30-minute postpolymerization protocol significantly improve the dimensional accuracy of 3D printed complete dentures, enhancing precision.
Area of Science:
- Biomaterials Science
- Dental Technology
- Additive Manufacturing
Background:
- Additive manufacturing (AM) is increasingly used for fabricating complete dentures.
- However, the impact of varying support-structure designs and postpolymerization heat treatments on denture accuracy is not well understood.
Purpose of the Study:
- To investigate how different support-structure designs and postpolymerization protocols affect the dimensional accuracy of 3D printed complete dentures.
Main Methods:
- Maxillary complete dentures were 3D printed using conventional and tree-like support structures.
- Specimens underwent postpolymerization heat treatment at 40°C, 60°C, or 80°C for 15 or 30 minutes.
- Optical scanning and 3D analysis software were used to evaluate trueness and precision using root mean square error (RMSE).
Main Results:
- Tree-like support structures resulted in lower RMSE values for both trueness and precision compared to conventional structures.
- Postpolymerization protocols significantly impacted both trueness and precision.
- Optimal accuracy (lowest RMSE) was achieved with the tree-like structure at 60°C for 30 minutes.
Conclusions:
- A tree-like support structure combined with a 60°C, 30-minute postpolymerization protocol enhances the dimensional accuracy of the intaglio surface of 3D printed complete dentures.
- The interplay between support structure design and postpolymerization conditions is crucial for optimizing the accuracy of additively manufactured dentures.
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