画像データの解析による複合材料の熱伝導率推算法の開発

抄録

Effective thermal conductivity of composite materials is known to heavily depend upon the structure and distribution of dispersed phases in the matrix. Although the equivalent inclusion method has frequently been used for estimating the thermal conductivities of composite materials, the results include some reservation for the case where the percolation behavior of some phases is suggested by finding direct contact of some dispersed phases. With this fact in mind, a new method has been developed for estimating the effective thermal conductivity of composite materials directly from its optical micrograph data by applying an image analysis of 400×640 digitized elements at the micro-computer level. The capability of this new method has been clearly demonstrated by reproducing the effective thermal conductivity values of SUS304/PSZ composite materials with a wide composition range and thermal anisotropy.