The effect of variable temperature and location on relative thermal conductivity (RTC) on the heat pipe in the presence of AL2O3 nanoparticles: Numerical and optimization approaches

Abstract

BackgroundThe cooling system is one of the important parts of new devices such as smartphones, servers, and other electrical devices. By employing the almost all heat transfer methods such as conduction, evaporation and condensation, heat pipes are the best choice to increase the heat transfer. The thermal conductivity of heat pipe is much higher than fins because they benefit from condensation and evaporation simultaneously. MethodsThis study tries to present relative thermal conductivity base on temperature and length of a heat pipe in optimized geometry. To achieve this aim, unsteady, multiphase fluid was considered inside the heat pipe. Evaporation, condensation, and conduction were assumed in the multi-functional simulation domain. Its also a combination of finite volume and differential evolutionary involved in simulation. This approach could improve the heat transfer efficiency and reduce the range of variables. FindingsThe numerical simulation of the evaporation and condensation indicated that relative thermal conductivity could improve the heat transfer accuracy of prediction Compared with standard methods up to 8%. The result also shows that by increasing the heat flux, relative thermal conductivity can play more efficient than constant thermal conductivity on the variation of Nu.