Paper Title:
Temperature Prediction in the System K2O-CaO-Al2O3-SiO2-P2O5
  Abstract

The composition of bone porcelain body belongs to the system K2O-CaO-Al2O3-SiO2-P2O5. According to the principles of experimental design of regression analysis method, the corresponding sintering temperature of a series of different composition can be measured. Based on XRD analysis and sintering theory and multivariate nonlinear regression analysis relationship of sintering temperature and the components is established by introducing P2O5/CaO, SiO2/Al2O3 and RO/R2O as independent variables. The regression equation that studies the relation can be obtained by using Matlab 2008a’s regression statistics toolbox and Spss software, which can not only assure the quantitative relation between sintering temperature and the components of bone porcelain, but also forecast the sintering temperature of bone porcelain.

  Info
Periodical
Edited by
Yiwang Bao, Li Tian and Jianghong Gong
Pages
590-593
DOI
10.4028/www.scientific.net/AMR.177.590
Citation
J. Zhan, X. F. Zeng, W. L. Zhang, "Temperature Prediction in the System K2O-CaO-Al2O3-SiO2-P2O5", Advanced Materials Research, Vol. 177, pp. 590-593, 2011
Online since
December 2010
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$32.00
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