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Notice of Retraction
Multiple regression model of optimal experimental design for organic composite modification of TiO2 powder

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2 Author(s)
Yi-shun Cui ; Mater. & Chem. Eng. Dept., Sichuan Univ. of Sci. & Eng., Zigong, China ; Heng-You Lan

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

By using orthogonal experiment design and the software Statistics Package for Social Science (in short, SPSS), in this paper, the effect of all the factors (dosage, concentration, time, mix ration of modification agent and temperature) is studied on the sedimentation volume of TiO2 powder, and the experiment data is processed through direct observation and analysis of variance. Moreover, based on enter method in SPSS, multiple quadratic response surface regression model of evaluating indicators sedimentation volume against individual factors and some possible interactions is obtained and the optimal conditions for the organic composite modification of TiO2 powder with sodium stearate and sorbitol are given. The experiment results presented in this paper show that multiple regression method is better than direct observation and analysis of variance.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on  (Volume:4 )

Date of Conference:

10-12 Aug. 2010