The data processing technique for rotational viscometry has been considered, which is based on the maximum likely hood function principle, takes into account the information content of the experiments and is built on the strict solution of the Couette flow equation in the viscosimeter gap. The class of models is formed fr om rheologically stationary (including biviscosity) models that admit an explicit analytical representation of the form .і = .і (Д) wh ere .і – velocity gradient, Д – shear stress. It is noted that for a fairly complete class of rheological models, there are several models with similar values for the criteria of their choice.
To increase the efficiency of making technological decisions with certain requirements for information support, it has been proposed to evaluate the rheological model and properties on the basis of multi criteria analysis. The stages of processing rotational viscometry data has been described, including the formation of a class of rheological models, evaluation of rheological properties using the criteria of the likelihood function, selection of a subset of equivalent rheological models, construction of covariance matrices and the accuracy criteria for evaluating rheological properties and selection of a rheological model by the accuracy criteria.
Illustrative examples of the interpretation of the results of processing the rheological properties for the biopolymer Biokar system and the re-suspension slurry RTM-75 PV have been given.
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