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A mathematical correlation, consistent with the experimental observations is proposed as a predictive equation for estimation of erosion rate of these composites.
A correlation derived from the results of Taguchi experimental design is proposed as a predictive equation for estimation of erosion wear rate of these composites.
In this paper, a back analysis calculation is performed to present an equation for estimation of the rock mass modulus of deformation using genetic programming (GP) and numerical modeling.
For all the cases considered, we observed that the values of n are higher than those obtained by purely fluid dynamic correlations, such as those advanced by Richardson and Zaki, and Rowe (1987, A convenient empirical equation for estimation of the Richardson and Zaki exponent. Chem. Eng. Sci. 42, pp. 2795).
KS, MH, and TI conceived the study, collected the data, and derived the multiple regression equation for estimation of the injected dosage.
The references of experimental data used in this figure, their temperature and pressure ranges, and deviations of ANN results from the experimental data, in addition, deviation of another equation for estimation of vapor pressure of SO2 by Perry's Chemical Engineers' Handbook[29] are presented in Table 5.
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We developed and tested 2 reliable equations for estimation of LBM in daily clinical practice.
This study evaluates the FAO-56 and American Society of Civil Engineers ASCEE) Penman Monteith (PM) equations for estimation of hourly ETo under the semiarid conditions of the province of Albacete Spainn).
Based on the obtained pushover curves, closed-form equations for estimation of median and dispersion of building collapse fragility curves are developed using multivariate regression analysis.
The equations for estimation of the tray efficiency are derived for top, bottom and intermediate trays, and they incorporate the number of gas and liquid phases transfer units, stripping factor, Peclet number of mixing and fractional entrainment.
The response surface model is then developed to create second-degree polynomial equations for estimation of the anticipated values for the median and variation of the seismic damage due to a specified level of earthquake loading.
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formulae for estimation of
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equation for inactivation of
equation for evolution of
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equation for change of
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equation for adsorption of
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equation for coupling of
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