Software package for automated processing of rheological experiment results

Problems of practical rheology related to structural-parametric identification of rheological models of non-Newtonian media are considered. Problems encountered in processing rheological experiment data in rotational and capillary viscometry are shown. The need to formalize the mathematical dependence of viscosity on shear rate and temperature is emphasized. The complexity of the multi-level organization of the viscometric experiment is indicat-ed, including the multifactorial impact and responses of the system, the large dimension of the data, the complexity of the algorithms for planning and conducting the experi-ment, as well as the presence of uncontrolled perturba-tions. For automated processing of the results of rheologi-cal experiments, a software package is proposed that al-lows parametric identification of temperature-velocity dependencies of viscosity of pseudoplastic media. The Ost-wald-de-Ville model was adopted as a rheological model, reflecting the dependence of elm bone on shear rate. To account for the effect of temperature on viscosity, the mod-el is supplemented by the Arrhenius-Frenkel-Eyring equa-tion (2). Parametric identification is carried out according to the minimum criterion of the sum of squares of devia-tions between experimental and model-calculated viscosity values. The software product was developed in the Free Pascal programming language using the Lazarus 2.0.10 FPC 3.2.0 development environment. Operating system Windows x64 7/8/10/11. The program has an open source code, which allows interested parties to independently modify it and develop additional functionality. Verification and validation of the software product confirmed its oper-ability, compliance with the specified requirements and reliability of the results obtained. Practical use of the pro-gram allows you to improve the quality and reduce the complexity of scientific and practical activities, reduce the time of experimental research and increase the scientific level of conclusions arising from experimental research.