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Modelling results show that adhesion and gloss are described by special cubic model equations, while rub resistance is described by a linear model equation.
A statistical significant cubic model was established.
The cubic model for adhesion with the coefficients from data fitting is given in Eq. 1.
However, the terms in special cubic and cubic model are aliased and were ignored.
However, terms in special cubic and cubic model are aliased and should be ignored.
The bilinear-special cubic model has only a very slight lack of fit and is preferred.
Data obtained from microbial, color, texture and sensory analysis were fitted into a cubic model.
A reduced cubic model was developed to navigate the design space.
Multiple regression analysis, focused on multivariable factors, was employed and a reduced cubic model was developed.
The quadratic model was found to be maximum adjusted R20.7285453, and predicted R20.589665values excluding cubic model.
The cubic model is also tried in a hybrid LES RANS strategy.
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