The peak discharge and runoff volume were found to be quite sensitive to GGIUH model parameters viz., n, RA and RB.
Sensitivity analysis revealed that a change in the model parameters viz., n, RA and RB by 1 20% resulted in the peak discharge to vary from 1.1 to 27.2%, 3.4 to 21.2% and 3.4 to 21.6%, respectively, and the runoff volume to vary from 0.3 to 12.5%, 2.1 to 2.6% and 2.2 to 2.7%, respectively.
Central composite design (CCD) employed to model contribution of parameters viz.
Data are analyzed with a simple exponential mathematical model which contains two parameters, viz.
Table 3 summarizes the results obtained from the model comparisons on the Fujisaki accent level parameters, viz.
The central composite rotatable design was used to plan the experiments and ANN model was established to observe the effect of input machining parameters viz.
The transmuted model is shown to be controlled by a number of thermo-physical parameters, viz. the magnetic parameter, thermal convective parameter, mass convective parameter, radiation-conduction parameter, heat generation parameter, Prandtl number, Lewis number, Brownian motion parameter, thermophoresis parameter, chemical reaction parameter and pressure gradient parameter.
The simulation model was first validated utilizing the experimental data and was then used to determine the optimal design parameters, viz. the inner, black absorber, and outer, transparent insulator, tube thicknesses.
