Abstract
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.
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Acknowledgements
The authors are grateful to the Maghsoud INC, Mr. Gholamreza Imani, and Maghsoud Kavan Shargh companies, for the financial support for this work.
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Arasteh Nodeh, A. Using response surface methodology to investigate bone china characteristics: (I) optical characteristics. J Aust Ceram Soc 53, 149–155 (2017). https://doi.org/10.1007/s41779-016-0019-1
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DOI: https://doi.org/10.1007/s41779-016-0019-1