Hyeong-Ju Yu, You-Jung Kang, Yeseul Park, Hoon Kim, Jee-Hwan Kim
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引用次数: 0
摘要
本研究调查了通过三维(3D)打印(P 组)、计算机辅助设计/计算机辅助制造铣削(M 组)和传统(C 组)方法生产的三种义齿基托树脂材料的机械性能。在热循环处理前后进行了三点弯曲测试,以评估其机械性能。此外,还使用了纳米压痕和动态机械分析(DMA)来分析材料的行为。挠曲强度测试后,使用扫描电子显微镜(SEM)评估断裂截面。结果一致表明,无论热循环与否,P 组的抗弯强度和模量都明显高于 C 组和 M 组(p
A comparison of the mechanical properties of 3D-printed, milled, and conventional denture base resin materials.
This study investigated the mechanical properties of three denture base resin materials produced by three-dimensional (3D) printing (Group P), computer-aided design/computer-aided manufacturing milling (Group M), and conventional (Group C) methods. Three-point flexural tests were performed before and after thermocycling treatment to evaluate the mechanical properties. Additionally, nanoindentation and dynamic mechanical analysis (DMA) were used to analyze the behavior of the materials. After flexural strength tests, scanning electron microscopy (SEM) was performed to evaluate the fracture cross-section. The results consistently showed that Group P exhibited significantly higher flexural strength and modulus regardless of thermocycling than Groups C and M (p<0.05), along with a higher storage modulus in DMA and greater resistance and resilience to nanoindentation deformation. SEM analysis showed that Group C had a relatively smooth cross-section, whereas Groups M and P had torn cross-sections. This study suggests that the 3D-printed material has suitable mechanical properties for hard dental prosthesis applications.
期刊介绍:
Dental Materials Journal is a peer review journal published by the Japanese Society for Dental Materials and Devises aiming to introduce the progress of the basic and applied sciences in dental materials and biomaterials. The dental materials-related clinical science and instrumental technologies are also within the scope of this journal. The materials dealt include synthetic polymers, ceramics, metals and tissue-derived biomaterials. Forefront dental materials and biomaterials used in developing filed, such as tissue engineering, bioengineering and artificial intelligence, are positively considered for the review as well. Recent acceptance rate of the submitted manuscript in the journal is around 30%.