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- W2105654098 abstract "In this research, Response Surface Methodology (RSM) was used to optimise the effect of three controllable input variables. To study the proposed second-order polynomial model for maximising Amorphous silica, a Central Composite Design (CCD) was used to estimation the model coefficients of the three input factors, which are alleged to influence the amorphous silica production process. The response is modelled using RSM on experimental data. The significant coefficients are obtained by performing Analysis of Variance (ANOVA) at 5% level of significance. It was observed that time of combustion at 3h, had significant effect on the maximising amorphous silica production. The model sufficiency is very satisfactory as the Coefficient of Determination (R2) is found to be a 87.91% and adjusted R2-statistic (R2 adj) is 75.82%." @default.
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- W2105654098 date "2013-02-20" @default.
- W2105654098 modified "2023-09-26" @default.
- W2105654098 title "Application of Response Surface Methodology for optimisation of amorphous silica extracted from rice husk" @default.
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- W2105654098 doi "https://doi.org/10.6088/ijaser.020100004" @default.
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