RHEOLOGICAL MODEL OF MOLDING MIXTURES IN FOUNDRY MACHINES
Kassymkhanov S.Z. Tolubayeva K.K.
2025National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2025#2025Issue 4199 - 210 pp.
The proposed paper deals with the actual problem of molding mixture density control under dynamic loading, which plays an important role in foundry production. The study is based on a five-element rheological model that takes into account elastic, viscous and plastic properties of the mixture. The model is formed in the form of a system of differential equations, which allows to realize it in the form of a numerical algorithm and to predict the change of the mixture density in time at given loads. The model is oriented for application in conditions of real foundry production. Numerical methods of calculation based on differential equations and experimental data were used for analysis. The main hypotheses of the work are that the density of the molding mixture is determined not only by the applied stresses, duration of their action, but also by the rheological parameters of the medium. The obtained dependences allow predicting the change of the mixture density in time under different types of dynamic loads. The conducted studies confirm that the five-element rheological model more accurately predicts the dynamics of compaction compared to traditional three-element models. The developed methodology and calculation algorithm can be applied in the foundry industry to optimize the composition of mixtures, improve the quality of castings and develop new compaction technologies. The application of machine learning can be integrated into foundry machine control systems to adjust and optimize operating parameters in real time and improve production efficiency. The obtained results provide a basis for further research in the field of rheology of molding mixtures and can be used in the design of equipment for foundry production.
foundry machines , modeling , molding mixture , rheological model
Text of the article Перейти на текст статьи
D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, Kazakhstan
D. Serikbayev East Kazakhstan Technical University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026