Accuracy of 3D Printed Maxillary Resin Model with Four Structural Designs of Model Bases

doi:10.13701/j.cnki.kqyxyj.2023.11.011

Abstract

Abstract: Objective: To investigate the impact of different model designs on the accuracy of 3D printed maxillary resin models. Methods: A model scanner was used to scan the standard gypsum dentition model of the upper jaw, and four sets of printed models with different structural types were designed, including complete solid model of the upper palate, complete hollow model of the upper palate, horseshoe shaped solid model, and horseshoe shaped hollow model. A 3D printer was used to print five resin models per group. The printing time of the resin models was recorded and all models were weighted. On the first and seventh day after printing, a model scanner was used to scan them. The printed models were performed deviation analysis with the corresponding model design files in Geomagic software. Results: The accuracy range of four printing models on the first day was (31.40±4.26) μm to (57.38±7.56) μm. The accuracy range on the seventh day was (34.26±5.06) μm to (86.40±26.93) μm. There were statistical differences in the accuracy of 3D printed maxillary resin models with different designs. The horseshoe shaped hollow model had the largest deformation, while the horseshoe solid model had the smallest deformation. The accuracy of the complete solid palate group and the complete hollow palate group were between the above two groups. The mass range of four types of models was (15.82±0.04) g to (42.08±0.31) g. Conclusion: The accuracy of printing models with four structural designs is within the clinical acceptance range. Considering printing accuracy and material utilization, it is recommended to use a maxillary printing model with horseshoe solid design.

Key words: 3D Printing, resin dental model, designs of model bases, deviation analysis, accuracy

ZHAO Yanfang, XIN Haitao, ZHANG Zhiyuan, LI Kai, LUO Huiwen, WU Yulu. Accuracy of 3D Printed Maxillary Resin Model with Four Structural Designs of Model Bases[J]. Journal of Oral Science Research, 2023, 39(11): 995-999.

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