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不同疲劳方法预测玻璃陶瓷失效的精度。

Precision of different fatigue methods for predicting glass-ceramic failure.

机构信息

Post-Graduate Program in Dentistry, Dental School, University of Passo Fundo, BR 285, Km 171, Passo Fundo, RS 99052-900, Brazil.

Department of Biomedical Materials Science, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA.

出版信息

J Mech Behav Biomed Mater. 2018 Dec;88:497-503. doi: 10.1016/j.jmbbm.2018.09.004. Epub 2018 Sep 5.

Abstract

This study aimed to characterize the fatigue behavior using two fatigue methods, boundary and staircase, and to predict the probability of failure (P) of zirconia-reinforced lithium silicate glass-ceramic (ZLS). Bar-shaped specimens of ZLS (18 ×4 ×1.2 mm) were fabricated. Thirty specimens were subjected to a three-point flexural strength test using a universal testing machine with 0.5 mm/min crosshead speed, in 37 °C distilled water. Flexural strength data were analyzed with Weibull statistics. Eighty-six bars were subjected to cyclic fatigue using boundary and staircase methods. Fatigue tests were performed in a pneumatic cycling machine (2 Hz, 37 °C distilled water) for 10 ³ and 10 cycles. Fatigue data were analyzed using an inverse power law relationship and log normal-lifetime distribution. Fracture toughness (K) was determined using V-notched specimens (18 ×4 ×3 mm) and the short beam toughness method (n = 7). Vickers hardness (VH) was evaluated (4.9 N, 20 s). Fractographic and EDS analyses were also performed. ZLS showed a characteristic strength of 197 MPa, Weibull modulus of 4, VH of 6.67 GPa and K of 1.93 MPa m. After 10 cycles, for both methods, there was a degradation of 78% of the initial strength. There was no significant degradation when the number of cycles increased from 10 to 10. Both methods resulted in similar P and precision at 40 MPa (~50% P). Yet, staircase shows good accuracy and precision in predicting the stress amplitude for a P near 50%; while boundary is also effective for P lower than 50%. The fatigue methods evaluated show similar accuracy and precision for predicting the P of a glass-ceramic when simulations were made in the range of stress levels and lifetimes used in the fatigue tests.

摘要

本研究旨在使用两种疲劳方法(边界法和阶梯法)来描述疲劳行为,并预测氧化锆增强锂硅玻璃陶瓷(ZLS)的失效概率(P)。制备了 ZLS 的条形试件(18×4×1.2mm)。使用万能试验机以 0.5mm/min 的十字头速度在 37°C 蒸馏水中对 30 个试件进行三点弯曲强度测试。使用 Weibull 统计对弯曲强度数据进行分析。86 个棒材采用边界法和阶梯法进行循环疲劳试验。疲劳试验在气动循环机中进行(2Hz,37°C 蒸馏水),循环 10³和 10 次。使用逆幂律关系和对数正态寿命分布对疲劳数据进行分析。使用 V 型缺口试件(18×4×3mm)和短梁韧性法(n=7)确定断裂韧性(K)。采用维氏硬度计(4.9N,20s)评估维氏硬度(VH)。还进行了断口形貌和 EDS 分析。ZLS 的特征强度为 197MPa,Weibull 模量为 4,VH 为 6.67GPa,K 为 1.93MPa·m。对于两种方法,在经过 10 次循环后,初始强度下降了 78%。当循环次数从 10 次增加到 100 次时,没有明显的降解。两种方法在预测 40MPa 附近的 P 时都具有相似的 P 和精度(~50% P)。然而,阶梯法在预测 P 接近 50%时具有良好的准确性和精度;而边界法在 P 低于 50%时也有效。在疲劳试验中使用的应力水平和寿命范围内进行模拟时,评估的疲劳方法在预测玻璃陶瓷的 P 方面具有相似的准确性和精度。

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