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循环压缩载荷下的热塑性透明牙齿矫治器:基于声发射技术的力学性能分析

Thermoplastic clear dental aligners under cyclic compression loading: A mechanical performance analysis using acoustic emission technique.

作者信息

Barile Claudia, Cianci Claudia, Paramsamy Kannan Vimalathithan, Pappalettera Giovanni, Pappalettere Carmine, Casavola Caterina, Suriano Carmela, Ciavarella Domenico

机构信息

Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Bari, Italy.

Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Bari, Italy.

出版信息

J Mech Behav Biomed Mater. 2024 Apr;152:106451. doi: 10.1016/j.jmbbm.2024.106451. Epub 2024 Feb 1.

Abstract

The objective of this work is to analyse the performance of clear aligners made of thermoplastic materials. Within this framework, the damage evolution stages and damage states of the aligners at different cycles of the compressive loading are evaluated using the Acoustic Emission (AE) technique. Three different clear aligner systems were prepared: thermoformed PET-g (polyethylene terephthalate glycol) and PU (polyurethane), and additively manufactured PU. Cyclic compression tests are performed to simulate 22500 swallows. The mechanical results show that the energy absorbed by the thermoformed PET-g aligner remains stable around 4 Nmm throughout the test. Although the PU-based aligners show a higher energy absorption of about 7 Nmm during the initial phase of the cyclic loading, this gradually decreases after 12500 cycles. The time-domain based, and frequency-based parameters of the stress wave acoustic signals generated by the aligners under compression loading are used to identify the damage evolution stages. The machine learning-based AE results reveal the initiation and termination of the different damage states in the aligners and the frequency-based results distinguish the different damage sources. Finally, the microscopy results validated the damage occurrences in the aligners identified by the AE results. The mechanical test results indicate that the thermoformed PET-g has the potential to match the performance and requirements of the dentistry of the popular Invisalign (additively manufactured PU). The AE results have the potential to identify at which cycles the aligners may start losing their functionality.

摘要

这项工作的目的是分析由热塑性材料制成的透明矫治器的性能。在此框架内,使用声发射(AE)技术评估了矫治器在不同压缩加载循环下的损伤演化阶段和损伤状态。制备了三种不同的透明矫治器系统:热成型聚对苯二甲酸乙二醇酯二醇(PET-g)和聚氨酯(PU),以及增材制造的PU。进行循环压缩试验以模拟22500次吞咽。力学结果表明,在整个试验过程中,热成型PET-g矫治器吸收的能量在4 Nmm左右保持稳定。虽然基于PU的矫治器在循环加载的初始阶段显示出约7 Nmm的更高能量吸收,但在12500次循环后逐渐降低。利用压缩加载下矫治器产生的应力波声信号的基于时域和基于频率的参数来识别损伤演化阶段。基于机器学习的AE结果揭示了矫治器中不同损伤状态的起始和终止,基于频率的结果区分了不同的损伤源。最后,显微镜结果验证了AE结果所识别的矫治器中的损伤情况。力学测试结果表明,热成型PET-g有潜力与流行的隐适美(增材制造的PU)的牙科性能和要求相匹配。AE结果有可能识别矫治器可能在哪些循环开始失去其功能。

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