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Chemical treatment in 3D dental model production for clear aligners via additive manufacturing: a comprehensive evaluation.

Authors :
Ehteshamfar, Mohammad Vahid
Kiadarbandsari, Amir
Ataee, Ali
Ghozati, Katayoun
Bagherkhani, Mohammad Ali
Source :
Rapid Prototyping Journal. 2024, Vol. 30 Issue 6, p1121-1136. 16p.
Publication Year :
2024

Abstract

Purpose: Stereolithography (SLA) additive manufacturing (AM) technique has enabled the production of inconspicuous and aesthetically pleasing orthodontics that are also hygienic. However, the staircase effect poses a challenge to the application of invisible orthodontics in the dental industry. The purpose of this study is to implement chemical postprocessing technique by using isopropyl alcohol as a solvent to overcome this challenge. Design/methodology/approach: Fifteen experiments were conducted using a D-optimal design to investigate the effect of different concentrations and postprocessing times on the surface roughness, material removal rate (MRR), hardness and cost of SLA dental parts required for creating a clear customized aligner, and a container was constructed for chemical treatment of these parts made from photocurable resin. Findings: The study revealed that the chemical postprocessing technique can significantly improve the surface roughness of dental SLA parts, but improper selection of concentration and time can lead to poor surface roughness. The optimal surface roughness was achieved with a concentration of 90 and a time of 37.5. Moreover, the dental part with the lowest concentration and time (60% and 15 min, respectively) had the lowest MRR and the highest hardness. The part with the highest concentration and time required the greatest budget allocation. Finally, the results of the multiobjective optimization analysis aligned with the experimental data. Originality/value: This paper sheds light on a previously underestimated aspect, which is the pivotal role of chemical postprocessing in mitigating the adverse impact of stair case effect. This nuanced perspective contributes to the broader discourse on AM methodologies, establishing a novel pathway for advancing the capabilities of SLA in dental application. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13552546
Volume :
30
Issue :
6
Database :
Academic Search Index
Journal :
Rapid Prototyping Journal
Publication Type :
Academic Journal
Accession number :
178157011
Full Text :
https://doi.org/10.1108/RPJ-08-2023-0300