Experimental and Simulation Study of Micro-Channel Backplane Heat Pipe Air Conditioning System in Data Center

This paper mainly studies the heat transfer performance of backplane micro-channel heat pipes by establishing a steady-state numerical model. Compared with the experimental data, the heat transfer characteristics under different structure parameters and operating parameters were studied, and the change of heat transfer coefficient inside the system, the air outlet temperature of the back plate and the influence of different environmental factors on the heat transfer performance of the system were analyzed. The results show that the overall error between simulation results and experimental data is less than 10%. In the range of the optimal filling rate (FR = 64.40%-73.60%), the outlet temperature at the lowest point and the highest point of the evaporation section is 22.46 degrees C and 19.60 degrees C, the temperature difference does not exceed 3 degrees C, and the distribution gradient in vertical height is small and the air outlet temperature is uniform. The heat transfer coefficient between the evaporator and the condenser is larger than the heat transfer coefficient under the conditions of low and high liquid charge rate. It increases gradually along the flow direction, and decreases gradually with the flow rate of the condenser. When the width of the flat tube of the evaporator increases from 20 mm to 28 mm, the internal pressure drop of the evaporator decreases by 45.83% and the heat exchange increases by 18.34%. When the number of evaporator slices increases from 16 to 24, the heat transfer increases first and then decreases, with an overall decrease of 2.86% and an increase of 87.67% in the internal pressure drop of the evaporator. The inclination angle of the corrugation changes from 30 degrees to 60 degrees, and the heat transfer capacity and pressure drop increase. After the inclination angle is greater than 60 degrees, the heat transfer capacity and resistance decrease. The results are of great significance to system optimization design and engineering practical application.