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• W3162195714 abstract "• The lower the ambient temperature, the higher the rate at which heat flux is transferred from the heat pipe wall, and the faster the internal vapor pressure condenses. • The efficiency varies exactly according to solar radiation. • geometric optimization has been done to increase the Nusselt number, set efficiency, and reduce the heat pipe's dimensions and weight. • The relative thermal conductivity is depending on ambient temperature and the heat flux of the evaporator location. The 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. This 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. The 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." @default.
• W3162195714 created "2021-05-24" @default.
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• W3162195714 date "2021-07-01" @default.
• W3162195714 modified "2023-10-17" @default.
• W3162195714 title "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" @default.
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• W3162195714 doi "https://doi.org/10.1016/j.jtice.2021.04.050" @default.
• W3162195714 hasPublicationYear "2021" @default.
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