Simultaneous optimization of linear firing shrinkage and water absorption of triaxial ceramic bodies using experiments design
Source abstract
Abstract
In the development and manufacture stages of floor and wall ceramic tiles, firing shrinkage and water absorption are basically determined by the combination of raw materials and frequently used as quality control parameters. This configures the ideal scenario to apply the techniques of experiments design, often used in various other areas, to model those properties of such ceramics bodies. In the present study, 10 formulations of three different raw materials, namely a clay mixture, potash feldspar and quartz (triaxial compositions) were selected and used in the experiments design. Those formulations were processed under conditions similar to those used in the ceramics industry: powder preparation (wet grinding, drying, granulation and humidification), green body preparation (pressing and drying), firing (at 1170 °C) and characterization. With the experimental results, regression models were calculated, relating linear firing shrinkage and water absorption with composition. After statistical analysis and verification experiments, the significance and validity of the models were confirmed. The regression models can then be used to select the best combination of those three raw materials to produce a ceramic body with specified properties.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Recycling and utilization of industrial and municipal waste in materials production · Concrete and Cement Materials Research · Building materials and conservation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (14)
Show source-provided references
1. R.H. Myers, D.C. Montgomery, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley and Sons, New York, 2002.
2. J.A. Cornell, Experiments with Mixtures: Designs, Models and the Analysis of Mixture Data, third ed., John Wiley and Sons, New York, 2002.10.1002/9781118204221 ↗
3. G. Biffi, Fine Porcelain Stoneware Tiles: Technology, Production, Marketing, Gruppo Editoriale Faenza Editrice, Faenza, 1995.
4. The influence of shaping and firing technology on ceramic properties of calcareous and non-calcareous illitic–chloritic clays10.1016/S0169-1317(01)00076-X ↗
5. Porcelain—raw materials, processing, phase evolution and mechanical behavior10.1111/j.1151-2916.1998.tb02290.x ↗
6. Mixture designs applied to food formulation
7. Optimization of paint formulations made easy with computer-aided design of experiments for mixtures
8. Application of statistical strategies to optimize the conductivity of electrosynthesized polypyrrole10.1016/S0167-577X(01)00640-1 ↗
9. Statistically designed optimization of a glass composition10.1111/j.1151-2916.1984.tb19514.x ↗
10. Mixture experiment techniques for reducing the number of components applied for modelling waste glass sodium release10.1111/j.1151-2916.1997.tb03230.x ↗
11. Seven-component lead-free frit formulation
12. Rational mineralogical analysis of ceramics10.1016/S0167-577X(01)00429-3 ↗
13. European Standard EN 87: Ceramic Floor and Wall Tiles—Definitions, Classification, Characteristics and Marking, 1992.
14. ABNT—Brazilian Association for Technical Standards, NBR 13818, Annex C: Ceramic Tiles—Specifications and Test Methods, 1997, pp. 14–16 (in Portuguese: Placas Cerâmicas para Revestimento—Especificação e Métodos de Ensaios).