Work

Glass Property Predictions and the Design and Characterization of Leucite Glass-Ceramics

Year: 2025

Type: article

Abstract: The aim was to optimize a series of aluminosilicate glasses for the synthesis of leucite glass-ceramics (GC) for dental applications. Appen predictive models were used to design a series of aluminosilicate glasses to control optical, thermal and mechanical properties. Glasses were produced using melt quenching methods, annealed and processed into powders and further heat-treated and milled to produce GC powders. Glasses/GCs were characterized using dilatometry, HTXRD, SEM and 27Al MAS-NMR and GCs tested using biaxial flexural strength (BFS) for comparison to commercial leucite GC products. The results indicated good prediction to experimental measurement correlations (for coefficient of thermal expansion, refractive index and density) and provided evidence of leucite GCs’ optimization compared to commercial products. This included significant BFS and Weibull m increases, improved microstructural control and designed translucency, meeting the demands for strong, esthetic and durable single-tooth restorations. The simple predictive approach, combined with complementary characterization techniques, allowed structure–property relations of aluminosilicate glasses/glass-ceramics to be understood, and may find similar applications in other glass systems beyond dentistry.

Source: Applied Sciences

DOI: 10.3390/app152212129

Authors: Antonios L. Theocharopoulos, Xiaohui Chen, Natalia Karpukhina, Michael J. Cattell

Institutions: University of West Attica, University of Manchester, Queen Mary University of London

Language: English

Topic: Glass properties and applications

Subfield: Ceramics and Composites

Field: Materials Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,896

Funder: Dentsply Sirona