Phase transformation and slow crack growth study of Y-TZP dental ceramic

Gui, Jingya; Xie, Zhipeng

doi:10.1016/j.msea.2016.09.026

Cited by 13 publications

(6 citation statements)

References 18 publications

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“…It was also reported in [37] on the microstructure of widely used in dentistry ZrO2 based ceramics formed by 0.3-0.4 μm grains of the tetragonal phase. Other authors [56] showed that the grain size in tetragonal zirconia stabilized with yttrium after sintering for 2 h at 1550 °C was 0.3-0.7 μm. Paper [57] investigated the effect of the ZrO2 percentage on the fracture toughness and flexural strength of Al2O3-ZrO2 ceramics.…”

Section: Data Collectionmentioning

confidence: 95%

Prediction of Hardness, Flexural Strength, and Fracture Toughness of Zro2 Based Ceramics Using Ensemble Learning Algorithms

Kulyk

Izonin

Vavrukh

et al. 2023

Acta Metall Slovaca

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Flexural strength, hardness, and fracture toughness are the basic mechanical properties of ceramic materials. Manufacturers widely use this set of properties to ensure the durability of ceramic products. However, many factors, such as chemical and phase compositions, sintering temperature, average grain size, density, and others, affect these properties, making it challenging to estimate corresponding reliability parameters correctly. Experimental examination of the impact of these factors on the mechanical properties of ceramics is a rather time-consuming and resource-consuming procedure. This work aims to predict the mechanical properties of zirconia ceramics using machine learning tools. The authors have created an experimental database for predicting the hardness, flexural strength, and fracture toughness of ZrO2-based ceramics based on chemical composition, phase composition, microstructural features, and sintering temperature on the mechanical properties of zirconia ceramics. The authors compare compared the effectiveness of using different machine learning algorithms and have found a high accuracy of the predicted values of each of the three mechanical properties using boosting ensemble methods. Also they developed a stacked ensemble of machine learning methods to improve the accuracy of determining the hardness property prediction task. We obtained the increase in accuracy of more than 10% (R2) using our approach.

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Section: Data Collectionmentioning

confidence: 95%

Prediction of Hardness, Flexural Strength, and Fracture Toughness of Zro2 Based Ceramics Using Ensemble Learning Algorithms

Kulyk

Izonin

Vavrukh

et al. 2023

Acta Metall Slovaca

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“…Its mechanical performance is due to tetragonal phase, t-ZrO 2 , which under stress transforms into the monoclinic phase, m-ZrO 2 , accompanied by volume expansion of 3 to 5% [9,10]. This volumetric expansion, in turn, generates compressive stresses in the matrix material, thus hindering crack propagation and, therefore, increases the toughness of the material [11][12][13]. The most used mechanical tests to characterize the static strength of ceramic materials are 3-or 4-point bending tests, and also ball-on-three-pin tests.…”

Section: Introductionmentioning

confidence: 99%

“…Guo and Schober [20] evaluated zirconia degradation ageing mechanisms and their effects. Gui and Xie [11] concluded that the behaviour of slow crack growth is affected by the presence of water, and higher temperature affects the t→m transformation. This facilitates crack propagation, due to the change of the Gibbs free energy that interferes in the phase transformation making it more difficult.…”

Section: Introductionmentioning

confidence: 99%

Cyclic fatigue behaviour of hydrothermally aged 3Y-TZP ceramics in 4-point bending tests

Souza

Duarte

Alves

et al. 2021

PAC

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Fatigue is one of the most important properties to be considered in ceramic dental implants due to cyclic mechanical stresses arising from the chewing process. In this work, the fatigue behaviour of hydrothermally degraded ZrO2-based ceramics stabilized with 3mol% Y2O3 (3Y-TZP) was studied in 4-point bending tests. Samples of 3Y-TZP were compacted (100MPa), sintered at 1475 ?C for 2 h, polished and hydrothermally degraded in an autoclave as described in the ISO-13356 standard. The samples were characterized by their relative density, crystalline phase composition, microstructure and surface roughness. The highly dense (>99.6%TD) sintered 3Y-TZP ceramics has only tetragonal t-ZrO2 phase, even after hydrothermal ageing. Furthermore, the ceramic materials presented a Vickers hardness of 12.7?0.2GPa, a fracture toughness of 7.1?0.3MPa?m1/2 and a 4-point bending strength of 940.1?67MPa. Based on the bending test results 5 different stress levels for the fatigue tests were selected and conducted by cyclic 4-point bending obtaining the S-N curve. Weibull statistics was used for the statistical analysis. The fatigue tests indicate that the limit of fatigue resistance of this 3Y-TZP ceramics is around 550MPa, i.e. higher than the limits established in the ISO-13356 standard for the use of Y-TZP ceramics for the manufacture of implants. The fatigue behaviour of the investigated 3Y-TZP ceramics was related to the toughening mechanisms acting in Y-TZP ceramics, such as transformation toughening related to t?m phase transformation and microcracking.

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“…This material has characteristics of color stability, hardness, wear resistance and translucency. In addition, it has low thermal conductivity, high flexural strength and phase transformation capacity, preventing the propagation of cracks in areas of greater occlusal stress [3][4][5] . The technique of obtaining this monolithic restoration is simpler than porcelain-veneered Y-TZP crown cores, favoring the strength of the restoration 6 .…”

Section: Introductionmentioning

confidence: 99%

Surface roughness of monolithic zirconia ceramic submitted to different polishing systems

et al. 2019

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Aim: The objective was to evaluate, quantitative and qualitative, the abrasive effect of three polishing systems on the monolithic zirconia ceramic. Methods: Thirty disk-shaped samples of Yttria Tetragonal Zirconia Polycrystal (Y-TZP) were randomly distributed in three groups (n = 10) according to polishing system: G1- Komet system (KO); G2 - CeraGloss system (CG); G3 - Eve Diacera system (EV). The surface roughness (Ra) was obtained with Rugosimeter in four different moments: a) initial - glaze sample (Ra0); b) after occlusal adjustment with diamond burs (Ra1); c) after polishing with the abrasive systems (Ra2); d) after polishing with felt disc and diamond paste (Ra3). Four additional samples were observed in scanning electron microscopy (SEM). Results: According to the Generalized Estimating Equation followed by the Bonferroni test (α = 0.05), the CG provided the lowest Ra2 (0.63 μm), not differing significantly from the KO (0.78 μm). The highest Ra2 was obtained with the EV (0.97 μm), which did not differ significantly from the KO. There was no statistical difference in Ra between the polishing with the abrasive systems (Ra2) and the final polishing with diamond paste (Ra3). SEM images showed that the polishing systems did not completely remove the grooves caused by the diamond burs during the occlusal adjustment. Conclusion: It was concluded that CG promoted smoother surface of the monolithic zirconia ceramic compared to EV, and intermediate smoothness was obtained with KO.

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Phase transformation and slow crack growth study of Y-TZP dental ceramic

Cited by 13 publications

References 18 publications

Prediction of Hardness, Flexural Strength, and Fracture Toughness of Zro2 Based Ceramics Using Ensemble Learning Algorithms

Prediction of Hardness, Flexural Strength, and Fracture Toughness of Zro2 Based Ceramics Using Ensemble Learning Algorithms

Cyclic fatigue behaviour of hydrothermally aged 3Y-TZP ceramics in 4-point bending tests

Surface roughness of monolithic zirconia ceramic submitted to different polishing systems

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