Computational Investigation of the Influencing Parameters on the Solidification of Thermoplastic Beryllium Oxide Slurry in a Cylindrical Shell
Sattinova Z. Assilbekov B. Bekenov T. Ramazanova G.
September 2024Multidisciplinary Digital Publishing Institute (MDPI)
Ceramics
2024#7Issue 3906 - 925 pp.
This article presents a computational study of the influencing parameters on the solidification of the thermoplastic beryllium oxide slurry in an annular forming cavity. The main purpose of this paper is to study the effect of cooling and casting conditions on the solidification of the BeO suspension by considering the temperature-dependent rheological and physical properties. The results of calculations of the Bingham–Papanastasiou rheological model with experimental data in the intervals of phase transitions with different casting rates of beryllium ceramics have been validated. The use of the regularization parameter made it possible to approximate the flow of the slurry at all levels of its shear rates as highly viscous, followed by a continuous transition to a solid state. The speed of heat removal from the molding during the solidification period is determined by the speed of movement of the slurry and the temperature field on which the width of the transition region depends. The process of solidification of the slurry mass has been evaluated by changing its heat flow distribution and density along the length of the concentric channel. The obtained model calculation results make it possible to control the casting process and eventually realize a uniform structure of castings.
beryllium oxide , CFD model , continuous casting , parametric study , solidification
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Faculty of Transport and Energy, L.N. Gumilyov, Eurasian National University, Astana, 010008, Kazakhstan
Laboratory of Computational Modeling and Information Technologies, Satbayev University, Almaty, 050013, Kazakhstan
Energy Modeling Laboratory, Satbayev University, Almaty, 050013, Kazakhstan
Faculty of Transport and Energy
Laboratory of Computational Modeling and Information Technologies
Energy Modeling Laboratory
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