Method for predicting material thermal conductivity on the basis of finite difference method of three-dimensional image

Abstract

The invention discloses a method for predicting material thermal conductivity on the basis of finite difference method of three-dimensional image, and belongs to the method for predicting the material thermal conductivity on the basis of finite difference method. The method has the basic principle: 1) an image analysis method is used for distinguishing different phases or components in the image; 2) a computer language program is used for reading the position and color information of all pixels into a computer memory; 3) each pixel is constructed into a cell element, and the cell element is endowed with the thermal conductivity according to the component to which the cell element belongs; 4) a stable thermal conductivity equation is dispersed, calculating a heat transfer coefficient matrix is calculated, and a calculation equation set is constructed; 5) a temperature field is obtained by the calculation equation set; and 6) the material equivalent thermal conductivity is calculated. The three-dimensional model is adopted to accurately obtain a thermal conductivity result, and the finite difference method is adopted to shorten calculation time and save memory consumption. The whole process is automatically finished, and the method is very practical for the model with a huge node amount.

Description

technical field [0001] The invention relates to a method for predicting the thermal conductivity of a material by numerical simulation, in particular to a method for predicting the thermal conductivity of a material based on a finite difference method of a three-dimensional image. Background technique [0002] The performance of a material plays a decisive role in its use efficiency, so testing the performance of a material is a homework that must be done before using it. However, for the design of structural materials, it is often necessary to change the structure of the material frequently in order to obtain the desired performance, which requires a lot of testing work. Predicting the performance of materials through material structure can greatly shorten the cycle of material design, so it is widely used in composite material design and other fields. Traditional prediction methods generally use two methods: 1) theoretical calculations based on ideal assumptions and 2) em...

AI Technical Summary

Problems solved by technology

However, when the object is some large or three-dimensional images with very fine structure, the analysis time and required computer resources will be greatly increased due to the exponential increase of the number of nodes and unit bodies, which may lose the advantages of simple and fast numerical simulation

Images