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The scientific FE code ABAQUS/Standard was used for this modelling.

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No prior information or assumptions are used for this model.

The dataset used for this model consists of 71 experimental measurements of undersaturated crude oil viscosity.

With four inputs and their three fuzzy sets, there are 34 (81) fuzzy rules used for this model.

A Fourier transform cannot be used for this model as there are no infinite limits in the geometry.

The optimal number of hidden neurons found and used for this model was 3 (as shown in Fig. 7).

The cross section of the real geometry was used for this model, shown in Fig. 7 below.

A linear model was formed as a function of mix tiles fraction and the analysis of ANOVA suggest that the linear term used for this model is significant.

The parameters used for this model are shown in Tables 2, 3. The values of R2 for the Elovich model ranged from 0.92 and 0.99 suggest that the process involves chemisorption.

The assumptions used for this model are as follows: a. Failure rates and repair rates of all the subsystems of the RVS machine vary from one particular period to another.

The assumptions used for this model are discussed in the BEIR-VI report [ 3].

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