Abstract

The paper provides experimental data, on the basis of which the influence of various factors on the strength characteristics of porous heat-insulating materials was studied. A mathematical model of the process of heat treatment of a porous material was also proposed, with the help of which its properties can be predicted. The field of application of heat-insulating materials directly depends on the thermophysical and mechanical properties of the material itself, which are also interconnected. Mechanical properties determine the behavior of a material under deformation and destruction from external loads and under thermal stress. To reveal the influence of the characteristics of thermal processing modes on the mechanical properties of the processed material, a mathematical model of the process of thermal processing of a porous material was built in the given work. The elastic modulus and strength of the material were taken as process indicators characterizing the behavior of the material during deformation and destruction due to external loads, and the temperature of the thermal process, the time of thermal exposure, the moisture content of the material and the porosity of the material were taken as factors characterizing the thermal processing mode. The point forecast of indicators according to the received models for the given thermal mode of processing of porous material made: value of the modulus of elasticity is equal to 0,413, value of durability of material on compression is equal to 0,056. The work revealed that the main factor that determines the strength of the heat-insulating porous material is the duration of thermal exposure. It is obvious that it is this factor that determines the intensity of heat and mass transfer processes in the material, which is interconnected with the main technological indicator – the temperature of the external coolant. It was also noted that the thermodynamic parameters of steam are determined by the temperature and duration of thermal contact with the coolant. Thus, using the data obtained, it is possible to predict the properties of the porous material.

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