1Department of Industrial and Production Engineering, University of Ibadan, Nigeria
2Office of Dean of Student, Ogwan, Edo State
3Ladoke Akintola University of Technology, Ogbomoso, Oyo State
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%.
Response Surface Methodology (RSM), Optimsation, Central Composite Design (CCD), Rice Husk, Amorphous silica, Scanning Electron Microscope (SEM)
