Fatigue lifetime prediction of a reduced-diameter dental implant system: Numerical and experimental study.
Fatigue lifetime prediction of a reduced-diameter dental implant system: Numerical and experimental study.
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DOI：
10.1016/j.dental.2018.06.002
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发表时间：
2018-09
期刊：
影响因子：
--
通讯作者：
Griggs JA
中科院分区：
文献类型：
--
作者：
Duan Y;Gonzalez JA;Kulkarni PA;Nagy WW;Griggs JA
通过使用加速寿命试验（ALT）策略和ISO 14801规定的设备对物理种植体样本进行试验，确认通过三维有限元分析（FEA）预测的直径减小的牙科种植体系统的疲劳寿命。使用微型CT扫描仪对市售直径减小的钛牙科种植体系统（Straumann Standard Plus NN）进行数字化。使用交互式医学图像处理软件（Mimics）处理轴向切片，以创建3D模型。在ABAQUS中进行FEA分析，并使用fe-safe®软件预测疲劳寿命。使用ISO 14801和ALT规定的装置，在载荷架上以2 Hz的频率对相同的植入物样本（n=15）进行测试。为了提高试验效率，采用了具有不同强度的多阶跃应力加载曲线。用可靠性分析软件（阿尔塔PRO）估算了物理试件的疲劳寿命。断裂试样进行了检查，使用SEM与断口技术，以确定故障模式。FEA预测寿命在实验结果估计寿命的95%置信区间内，这表明FEA预测对于该植入物系统是准确的。最高的失效概率位于邻近模拟骨水平的种植体螺纹根部，这也与物理样本中的失效起源一致。基于有限元建模的疲劳寿命预测可以产生类似的结果来代替物理测试，从而允许在未来植入物疲劳研究项目的早期阶段使用虚拟测试。
To validate the fatigue lifetime of a reduced-diameter dental implant system predicted by three-dimensional finite element analysis (FEA) by testing physical implant specimens using an accelerated lifetime testing (ALT) strategy with the apparatus specified by ISO 14801. A commercially-available reduced-diameter titanium dental implant system (Straumann Standard Plus NN) was digitized using a micro-CT scanner. Axial slices were processed using an interactive medical image processing software (Mimics) to create 3D models. FEA analysis was performed in ABAQUS, and fatigue lifetime was predicted using fe-safe® software. The same implant specimens (n=15) were tested at a frequency of 2 Hz on load frames using apparatus specified by ISO 14801 and ALT. Multiple step-stress load profiles with various aggressiveness were used to improve testing efficiency. Fatigue lifetime statistics of physical specimens were estimated in a reliability analysis software (ALTA PRO). Fractured specimens were examined using SEM with fractographic technique to determine the failure mode. FEA predicted lifetime was within the 95% confidence interval of lifetime estimated by experimental results, which suggested that FEA prediction was accurate for this implant system. The highest probability of failure was located at the root of the implant body screw thread adjacent to the simulated bone level, which also agreed with the failure origin in physical specimens. Fatigue lifetime predictions based on finite element modeling could yield similar results in lieu of physical testing, allowing the use of virtual testing in the early stages of future research projects on implant fatigue.
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影响因子：
1.1
作者：
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