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Linear measurement evaluation according to UV-type ultrasonic cleaning of artificial teeth for temporary dentures manufactured using a light-curing type printer produced by a DLP printer

광중합형 프린터로 제작한 임시 의치용 인공치아의 UV형 초음파 세척에 따른 선형측정 평가

  • Dong-Yeon Kim (Department of Dental Technology, Kyungdong University) ;
  • Gwang-Young Lee (Department of Dental Laboratory Technology, Wonkwang Health Science University)
  • Received : 2024.03.13
  • Accepted : 2024.03.18
  • Published : 2024.03.30

Abstract

Purpose: This study compares the deformation of traditional resin dentures to resin dentures printed with digital light processing (DLP). Methods: Eleven edentulous research models were developed. Ten of them were made with traditional resin dentures. The remaining one was prepared for scanning and 3D (three-dimensional) printing. Ten traditional resin dentures were made, with the remaining artificial teeth created using 3D software and a DLP printer. Traditional resin dentures, 3D printed resin denture artificial teeth, and a denture base with artificial teeth were all cleaned simultaneously in an ultrasonic cleaner for 3 minutes. Three groups were assigned four artificial tooth measurement points, which were then measured with digital calipers. The measured data was analyzed using descriptive statistics. The significance test was conducted using a nonparametric test Kruskal-Wallis test due to the small number of specimens (α=0.05). Results: The traditional resin dentures had the lowest strain rate at -0.04%, while the group that manufactured only artificial teeth had the highest strain rate at -0.09%. However, no statistically significant difference was observed between the 3 groups (p>0.05). Conclusion: During ultraviolet-type ultrasonic cleaning, traditional resin dentures (TD group) and denture base with artificial teeth made of DLP (DD group) demonstrated stable durability, whereas the artificial teeth made of DLP (AD group) with only artificial teeth did not show a good deformation rate.

Keywords

Acknowledgement

This paper was supported by Wonkwang Health Science University in 2023 (No. 2023005).

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