Modeling of cooling process of hydroaluminosilicate materials

V.V. Sobchenko; V.A. Zhaivoronok; H.O. Sobchenko

doi:10.26909/csl.3.2021.3

V.V. Sobchenko The Gas Institute of the NAS of Ukraine, str. Degtyarivska, 39, Kyiv, 03113, Ukraine http://orcid.org/0000-0002-8575-7584
V.A. Zhaivoronok The Gas Institute of the NAS of Ukraine, str. Degtyarivska, 39, Kyiv, 03113, Ukraine http://orcid.org/0000-0002-9669-2843
H.O. Sobchenko The Gas Institute of the NAS of Ukraine, str. Degtyarivska, 39, Kyiv, 03113, Ukraine http://orcid.org/0000-0002-2411-9562

DOI: https://doi.org/10.26909/csl.3.2021.3

Keywords:
porous heat-insulating materials, rottenstone, heat treatment, fluidized bed.

Abstract

Porous thermal-insulation materials are widely used in building industry, the advantages of which are cheapness and efficiency. Their commercial appearance is also important in their implementation. Porous thermal-insulation materials to prevent sticking can be packaged only after cooling and after the main thermal processes and classification.

The process of cooling porous hydroaluminosilicate materials by the method of modeling with the subsequent check on the laboratory equipment with a fluidized bed is investigated in the work. The main thermal process takes place at a temperature of about 300°C. The cooling time of the porous material to a temperature of 20°C, which is about 20 seconds, is calculated, and the need to ensure this time in its classification is indicated. This model allows you to determine with sufficient accuracy the cooling time for particles of different diameters and temperatures.

The process of cooling the obtained thermal insulation material in the production technology occurs simultaneously with its hydrodynamic classification in the cascade classifier of the fluidized bed. It is important to determine the required cooling time of the spherical hydroaluminosilicate material to temperatures close to 20°C and to ensure the presence of particles in the apparatus during this time.

Comparison of experimental data with the results of the mathematical model shows the results with an error of 10%. There is a slight increase in the minimum residence time of a single granule obtained experimentally compared with the calculated.

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