Accuracy of 3D Printed Models After Different Storage Conditions
Objectives: The aim of this study is to determine the accuracy of 3D printed models after different storage conditions using two different material/printer systems Methods: A STL file of a full-arch maxillary cast was used to print 30 models from two different technologies, Carbon (DLS-Digital light synthesis) and Formlabs 3 (LFS-Low force stereolithography). The models were printed at 50 microns layer thickness. These printed models were randomized into 3 groups per printer: RT-Room temperature, LT-Low temperature, and HT-High temperature (n=5). The low temperature models were storage in a cold room at ~5±2 °C, high temperature group was storage in an oven at 50±2 °C for 0, 5, 10, and 15 days. Each of models was scanned using an inEos X5 lab scanner to generate STL files, which were imported into a 3D inspection software program (Geomagic Control X 2020) for comparison of the original STL file with each model, using points of references as a template. Four points (two first premolars and two second molars) were selected as interested points with XYZ coordinates for six inter-tooth distances (D1-D6). The 3D comparison deviation was calculated at 50µ, 75µ and 100 µ. The trueness in this project is the absolute tooth distance difference between the reference and the testing scan. Precision in this project is the standard deviation of the tooth distances among the duplicates Results: Dimension changes were mostly found on the gingiva and the tooth surface of the molar area. Models under high temperature showed expansion, while a few models under low temperatures presented shrinkage, after day 5. Models under room temperature did not show significant distortions in general. 3D printed models using Carbon showed higher in tolerance compared to those using Formlabs 3 Conclusions: 3D printed models using Carbon demonstrated to be more stable compare with the 3D printed models using Formlabs 3. Storage of 3D printed models at higher temperature should be avoided to prevent distortion
2022 IADR/APR General Session (Virtual) 2022 1578 Prosthodontics Research
Rochabrun, Karina
( Boston University
, Westford
, Massachusetts
, United States
)
Fan, Yuwei
( Henry M. Goldman School of Dental Medicine, Boston University
, Boston
, Massachusetts
, United States
)
Giordano, Russell
( Boston University
, Boston
, Massachusetts
, United States
)