Correlation between fracture toughness and leucite content in dental porcelains

Autor: Paulo Francisco Cesar, Humberto Naoyuki Yoshimura, Walter Gomes Miranda Júnior, C. Y. Okada
Rok vydání: 2004
Předmět:
Zdroj: Journal of dentistry. 33(9)
ISSN: 0300-5712
Popis: Summary Objectives To determine the correlation between fracture toughness and leucite content in dental porcelains. The mechanisms by which leucite influences the fracture toughness of dental porcelains were also investigated. Methods Six porcelains were tested: A (Ceramco I/Dentsply), B (Ceramco II/Dentsitply), C (Finesse/Dentsply), D (d.Sign/Ivoclar), Cb (Cerabien/Noritake) and V (Vitadur Alpha/Vita). Bar-shaped specimens were produced, and their fracture toughness was determined by means of the single-edge precracked beam (SEPB) method. The test consisted of fracturing the specimen after a precrack was generated by a bridge-anvil device. K Ic was calculated based on fracture force and size of the precrack. Microstructural analysis and determination of the leucite volume fraction were performed on polished specimens etched with 2% HF for 15 s by means of scanning electron microscopy. Fractographic analysis was performed on fracture surfaces. Results Porcelains A and B presented the highest leucite contents (22%) and similar K Ic values (1.23 and 1.22 MPa m 1/2 , respectively), significantly higher than the other materials. Porcelains C and D presented similar K Ic values (0.81 and 0.93 MPa m 1/2 , respectively), but different leucite contents (6 and 15%, respectively). Porcelain D presented higher K Ic compared to porcelains Cb and V (0.71 and 0.75 MPa m 1/2 , respectively), which presented similar values and the lowest leucite contents (0%). Fractographic analysis showed that porcelains with higher leucite content presented higher incidence of crack deflection. Conclusions For the materials evaluated in this study, the leucite content was directly related to K Ic . The main toughening mechanism observed was crack deflection around leucite particles and clusters.
Databáze: OpenAIRE