Using response surface methodology to investigate bone china characteristics: (I) optical characteristics
| Autor: | Ali Arasteh Nodeh |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010302 applied physics
Brightness Materials science Diagram Mineralogy 02 engineering and technology 021001 nanoscience & nanotechnology Bone china 01 natural sciences Thermal expansion chemistry.chemical_compound Bone ash chemistry Impurity 0103 physical sciences Response surface methodology 0210 nano-technology MATLAB Biological system computer computer.programming_language |
| Zdroj: | Journal of the Australian Ceramic Society. 53:149-155 |
| ISSN: | 2510-1579 2510-1560 |
| DOI: | 10.1007/s41779-016-0019-1 |
| Popis: | This study deals with investigating the effect of feed composition on bone china optical characteristics using response surface methodology (RSM) by MATLAB software. In this regard, based on batch calculation diagram, 13 feed compositions were chosen and investigated according to RSM methodology. The optical characteristics that were studied are L*, a*, and b* which are representative of brightness, blue, and red colors. Results showed that brightness L* can be modeled by feed composition but a* and b* are functions of impurities and firing environment and cannot be modeled just by considering feed composition. There is also another parameter known as ΔE that represents the difference between the color of sample and a reference color. Since the lower amount of ΔE is the best, a minimization by Levenberg-Markared method was done and the minimum ΔE figured out to be at 58% bone ash, 21% feldspar, and 21% kaolin. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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