People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Borba, Márcia
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2024A Comprehensive Review of the Multifaceted Characterisation Approaches of Dental Ceramics
- 2024Influence of Different Surface Finishing Protocols on the Wear Behavior of Lithium Disilicate Glass-Ceramics
- 2023Influence of piston material on the fatigue behavior of a glass-ceramiccitations
- 2023Fatigue resistance of polymeric restorative materials: effect of supporting substrate
- 2023Optimization of Lithium Disilicate Glass-Ceramic Crowns: Finish Line, Scanning, and Processing Methodscitations
- 2020Effect of a new irrigant solution containing glycolic acid on smear layer removal and chemical/mechanical properties of dentincitations
- 2019Effect of supporting substrate on the failure behavior of a polymer-infiltrated ceramic network materialcitations
- 2019Effect of supporting substrate on the failure behavior of a polymer-infiltrated ceramic network materialcitations
- 2019Fatigue Behavior of Crystalline-Reinforced Glass-Ceramicscitations
- 2018Effect of screw-access hole and mechanical cycling on fracture load of 3-unit implant-supported fixed dental prosthesescitations
- 2018Precision of different fatigue methods for predicting glass-ceramic failurecitations
- 2018Precision of different fatigue methods for predicting glass-ceramic failurecitations
- 2018How does the piston material affect the in vitro mechanical behavior of dental ceramics?citations
- 2018How does the piston material affect the in vitro mechanical behavior of dental ceramics?citations
- 2017Influence of surface finishing on fracture load and failure mode of glass ceramic crownscitations
- 2016Effect of different aging methods on the mechanical behavior of multi-layered ceramic structurescitations
- 2016Effect of different aging methods on the mechanical behavior of multi-layered ceramic structurescitations
- 2014Effect of the infrastructure material on the failure behavior of prosthetic crownscitations
- 2011Flexural strength and failure modes of layered ceramic structurescitations
- 2011Flexural strength and failure modes of layered ceramic structurescitations
Places of action
Organizations | Location | People |
---|
article
Precision of different fatigue methods for predicting glass-ceramic failure
Abstract
<p>This study aimed to characterize the fatigue behavior using two fatigue methods, boundary and staircase, and to predict the probability of failure (P<sub>f</sub>) 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<sup>4</sup> cycles. Fatigue data were analyzed using an inverse power law relationship and log normal-lifetime distribution. Fracture toughness (K<sub>Ic</sub>) 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<sub>Ic</sub> of 1.93 MPa m<sup>1/2</sup>. After 10<sup>3</sup> 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<sup>3</sup> to 10<sup>4</sup>. Both methods resulted in similar P<sub>f</sub> and precision at 40 MPa (~50% P<sub>f</sub>). Yet, staircase shows good accuracy and precision in predicting the stress amplitude for a P<sub>f</sub> near 50%; while boundary is also effective for P<sub>f</sub> lower than 50%. The fatigue methods evaluated show similar accuracy and precision for predicting the P<sub>f</sub> of a glass-ceramic when simulations were made in the range of stress levels and lifetimes used in the fatigue tests.</p>