Armentia Mikel, Abasolo Mikel, Coria Ibai, Saintier Nicolas
Mechanical Engineering Department, University of the Basque Country (UPV/EHU), Bilbao, Spain.
R&D Department, Biotechnology Institute I mas D S.L., Miñano, Spain.
Heliyon. 2024 Aug 29;10(19):e36777. doi: 10.1016/j.heliyon.2024.e36777. eCollection 2024 Oct 15.
As screwed joints, dental restorations may suffer mechanical failures such as screw loosening and implant or prosthetic screw failure due to fatigue. This work is focused on the failure of the implant and develops a numerical methodology to predict its fatigue life under cyclic loading conditions. This methodology is based on the combination of Critical Plane Methods and the Theory of Critical Distances to account for stress multiaxiality and notch effects. The obtained predictions were validated experimentally, which can be used to identify the main geometrical, assembly and operational factors affecting the fatigue behavior of dental implants. As a result, a powerful and efficient design tool for fatigue life prediction of dental implants is presented. This methodology complements a previously presented one focused on the fatigue life prediction of the prosthetic screw, thereby, offering now a complete design tool package regardless the critical component of the dental restoration, predicting accurately the fatigue response of the restoration, with no need for long-term fatigue test campaigns. This is a pioneering work since no other fatigue design methodology for dental implants with such a solid foundation and experimental validation has been published to date.
作为螺纹连接，牙科修复体可能会出现机械故障，如由于疲劳导致的螺钉松动以及种植体或修复体螺钉失效。这项工作聚焦于种植体的失效，并开发了一种数值方法来预测其在循环载荷条件下的疲劳寿命。该方法基于临界平面法和临界距离理论的结合，以考虑应力多轴性和缺口效应。所获得的预测结果通过实验进行了验证，这可用于识别影响牙科种植体疲劳行为的主要几何、装配和操作因素。结果，提出了一种用于牙科种植体疲劳寿命预测的强大且高效的设计工具。该方法补充了之前提出的一种专注于修复体螺钉疲劳寿命预测的方法，从而提供了一个完整的设计工具包，无论牙科修复体的关键部件是什么，都能准确预测修复体的疲劳响应，而无需进行长期疲劳测试活动。这是一项开创性的工作，因为迄今为止尚未发表其他具有如此坚实基础和实验验证的牙科种植体疲劳设计方法。
