Geometric Accuracy of 3D-Printed Composite Dental Restorations Compared with the Original STL Design
Source abstract
Abstract
Additive manufacturing (AM) enables customized, efficient restorative workflows, though the accuracy of 3D-printed restorations may be compromised by polymerization, sintering shrinkage, and post-processing. This study evaluated the geometric accuracy of 3D-printed partial restorations compared with the computer-aided design (CAD) reference. The null hypothesis stated that no significant differences would be found between Varseo Smile Crownplus (by BEGO, Italy) and IRIXMax (by DWS System, Italy) materials, which are printed and cured with different technologies. A model was prepared for an overlay and designed with a 1.5 mm uniform thickness. Restorations were produced in two groups with two different printing processes: DLP (digital light processing)-printed Varseo Smile Crownplus and SLA (stereolithography)-printed IRIXMax. Six samples per group were printed at 90° orientation and scanned. Meshes were aligned to the master geometry via pre-alignment and ICP (Iterative Closest Point) registration. Deviations were quantified in CloudCompare using mean, standard deviation (SD), and 90th percentile values. IRIXMax showed the lowest deviations from the ideal geometry, while Varseo Smile Crownplus exhibited greater variability. Pairwise comparisons found IRIXMax significantly more accurate than Varseo Smile Crownplus. Color maps confirmed material-specific deviation patterns. IRIXMax provided the highest geometric accuracy. Material-specific calibration is essential for reliable 3D-printed definitive restorations.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Dental materials and restorations · Additive Manufacturing and 3D Printing Technologies · Anatomy and Medical Technology
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Surgical Sciences, Dental School Lingotto, University of Turin, 10126 Turin, Italy
Department of Engineering, University of Perugia, Via Duranti 93, 06125 Perugia, Italy
Electric, Electronics and Computer Engineering Department, University of Catania, 95125 Catania, Italy
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Turin, Italy
Department of Applied Science and Technology (DISAT), Politecnico di Torino, 10129 Turin, Italy
Funding
European Union
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