Shiyu Tian, Juan Dai, Waheed Ahmad, Kanhui Liang, Qiyun Tan, Hao Deng, Feifei Jiang, Jing Xiong, Jun Cao, Zeyang Xia
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引用次数: 0
摘要
弓丝弯曲是正畸治疗的关键,而在手动和机器人自动弯曲过程中,多次弯曲是不可避免的。本文旨在定量评估不同制备模式的机械影响,并比较一次弯曲和多次弯曲时正畸弓丝的机械性能。本文使用了三种典型的不锈钢正畸环(垂直环、T 型环和 L 型环),通过正畸力测试仪(OFT)对不同弯曲时间的正畸环进行实验比较,以量化制备模式对机械性能的影响。结果采用 t 检验进行统计分析。此外,还进行了不锈钢弓丝的断裂试验,并记录了断裂时的弯曲时间。试验结果表明,一次性弯曲和多次弯曲对正畸装置有显著的机械影响。多次弯曲会导致机械性能明显下降,并可能损坏矫治器。
Mechanical effect of different patterns for preparation of orthodontic appliances: An experimental study.
Archwire bending is the key to orthodontic treatment, and multi-time bendings are inevitable during manual and robotic automated bending. The purpose of this paper is to quantitatively evaluate the mechanical effects of the different preparation modes and to compare the mechanical properties of the orthodontic loops in one and multiple bends. Three types of typical stainless steel orthodontic loops (vertical loop, T-loop, and L-loop) were used to quantify the mechanical effect of patterns for preparation by experimental comparison between loops with different bending times by using an orthodontic force tester (OFT). The results were statistically analyzed by t-test. The fracture test of the stainless steel archwire was also carried out, and the bending times at fracture were recorded. Results of the tests indicate that one-time and multi-time bending have a significant mechanical effect on orthodontic appliances. Multi-time bending causes significant mechanical decreases and can damage the appliances.
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%.