Calculation method of rapid heat conduction coefficient of period-like distribution unidirectional fiber toughening composite material

Abstract

The invention discloses a calculation method of a rapid heat conduction coefficient of a period-like distribution unidirectional fiber toughening composite material, and belongs to the technical field of engineering thermophysics. The calculation method of the rapid heat conduction coefficient of the period-like distribution unidirectional fiber toughening composite material comprises the following steps: putting forward a new anisotropy heat conduction coefficient calculation theory-experience expression LNN (Linear Neural Network) model, and giving a specific expression form; performing finite element simulation on a micro representative unit, and fitting to obtain a correction coefficient n in the LNN model through calculating data; and transferring the obtained correction coefficient n to a correction term Psinew, and determining a final unidirectional fiber anisotropy heat conduction coefficient calculation theory-experience expression of an LNN correction model, calculating the rapid heat conduction coefficient of the unidirectional fiber toughening composite material. Compared with an existing method, the calculation method of the rapid heat conduction coefficient of the period-like distribution unidirectional fiber toughening composite material has the advantage that the precision is greatly improved, and the corresponding anisotropy heat conduction coefficient can be rapidly calculated.

Description

Technical field: [0001] The invention relates to a method for quickly calculating the thermal conductivity of a periodically distributed unidirectional fiber-reinforced composite material, which belongs to the technical field of engineering thermophysics. Background technique: [0002] With the development of industrial technology, various composite materials have been widely used in various industrial fields, especially in the field of aerospace. Taking ceramic matrix composites as an example, as a non-metallic material, compared with commonly used metal materials and polymer materials, it has excellent properties such as high temperature resistance, wear resistance, and corrosion resistance, so it has attracted more and more attention. . However, limited by its brittleness, ceramic materials lack sufficient strength and reliability when used on stressed structural components such as engine turbines, so they cannot be directly applied. At present, it has become one of the...

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Problems solved by technology

[0012] Although the finite element method is used, simulations can be carried out for microstructures with more complex structures, but it is still necessary to assume that the internal microstructure of the material follows a periodic distribution

[0013] In general, although the asymptotic expansion homogenization method and microstructure numerical simulation can effectively improve the prediction accuracy of thermal conductivity, the calculation process is cumbersome, the calculation requires more parameters, and it takes a long time

However, various simplified models based on engineering calculations and theoretical simplified models, although the calculation speed is fast, the calculation accuracy of thermal conductivity is limited.

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