Abstract: Three-dimensional network configuration representative volume element (RVE) models were built to investigate thermal properties of conductive silicon greases containing different fractions of AlN/C/Ag by applying a Monte Carlo controllable spatial distribution algorithm. Thermal conductive silicon greases containing AlN, AlN/C and AlN/C/Ag were prepared, the thermal conductivity and the volume resistivity of all samples were experimentally measured. The electrical tribological properties were stu-died with a reciprocating friction/wear testing machine under iron/iron contacting at room temperature. SEM and EDS were utilized to observe and analyze the friction area after test. It is found that affluent morphology of conductive fillers will lead to generate compact thermal conductive network, and the thermal conductivity of AlN/C/Ag can be up to 1.623 W/(m·K), which means that the less loading of fillers can obtain higher thermal conductivity. Meanwhile, the simulation result of finite model of AlN/C/Ag has a better agreement with the experimental result at the same mass fraction, which can be used to predict thermal conductivity of silicon greases with sphere/flake/stick fillers. The optimal electrical tribological properties of AlN/C/Ag thermal conductive silicon grease are ascribed to the function of thermal conductivity and electrical conductivity combined, which can be helpful to abate the arc erosion on the friction contacts.
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