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Method for obtaining two-component composite materials with a given thermal conductivity

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A method for obtaining two-component composite materials is proposed which differs from known methods in that as a result of the implementation of the method any value of the thermal conductivity of the composite being created can be achieved, if taken from the range of thermal conductivity of the initial components. The method consists in mixing substantially heterogeneous solid components in a given proportion, their subsequent pressing, and sintering. The proportion of the components is previously calculated based on the required value of the thermal conductivity of the mixture. To estimate the expected thermal conductivity of the composite and find the required proportion of components, it is proposed to use the structure model with chaotically arranged components developed by the authors of the article. It is shown that in order to achieve the goal, the thermal conductivity of a two-component mixture can be successfully modeled by a structure with chaotically arranged components, where an eight-element cubic cell proposed by the authors of the work is used as an elementary cell. At the same time, the accuracy of setting the required thermal conductivity value is at least 90 %. The implementation of the method is shown by the example of obtaining a copper-alund composite with a given thermal conductivity value λ = 110 W/(m·K) which, according to the calculation presented in the example, corresponds to a percentage ratio of components 74/26 (copper/alund). The developed method makes it possible to obtain two-component composites with a given thermal conductivity in a wide range from several units to several hundred W/(m·K). An almost unlimited range of substances in a solid powdery state can be used as components. It is possible to implement a continuous scale of thermal conductivity of solids. When using refractory substances, this scale can be extended to a temperature of 2000–2500 °C. The method is intended for use in metrology, metallurgy, nuclear technology, aviation and heavy industry, shipbuilding.

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