Simulation of the Evolution of Floor Covering Ceramic Tiles During the Firing

• Published in: Journal of materials engineering and performance Vol. 22; no. 4; pp. 936 - 942
• Main Authors: Peris-Fajarnés, Guillermo, Defez, Beatriz, Serrano, Ricardo, Ruiz, Oscar E.
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.04.2013; Springer
• Subjects: Applied sciences; Building materials. Ceramics. Glasses; Ceramic industries; Ceramic tiles; Ceramics; Characterization and Evaluation of Materials; Chemical industry and chemicals; Chemistry and Materials Science; Computer simulation; Corrosion and Coatings; Curvature; Engineering Design; Evolution; Exact sciences and technology; Firing; Heavyclay products, whiteware; Materials Science; Quality Control; Reliability; Safety and Risk; Simulation; Three dimensional models; Tiles; Tribology; failure analysis; modeling processes; heat treating; Creep; High temperature; Elastic deformation; Modeling; Three dimensional model; Roofing tile; Defect; Curvature; Ceramic materials; Firing (materials)
• ISSN: 1059-9495; 1544-1024
• DOI: 10.1007/s11665-012-0354-5

Finding the geometry and properties of a ceramic tile after its firing using simulations, is relevant because several defects can occur and the tile can be rejected if the conditions of the firing are inadequate for the geometry and materials of the tile. Previous works present limitations because they do not use a model characteristic of ceramics at high temperatures and they oversimplify the simulations. As a response to such shortcomings, this article presents a simulation with a three-dimensional Norton’s model, which is characteristic of ceramics at high temperatures. The results of our simulated experiments show advantages with respect to the identification of the mechanisms that contribute to the final shape of the body. Our work is able to divide the history of temperatures in stages where the evolution of the thermal, elastic, and creep deformations is simplified and meaningful. That is achieved because our work found that curvature is the most descriptive parameter of the simulation. Future work is to be realized in the creation of a model that takes into account that the shrinkage is dependent on the history of temperatures.