With the development of power density in motor, the cooling becomes more and more important. Heat pipe is a method to solve this issue. However, the performance of heat pipe is largely affected by the structure, the operating angle, and the cooling at condensation section. Therefore, this paper experimentally discusses its impact on heat pipe performance. Based on the experimental data, (artificial neural network) ANN model is established to predict the performance. Results showed that, when the operating angle of heat pipe was large than 45°, it can be well adopted for motor cooling; while for other operating angles, the performance would be largely changed. ANN model is suitable method for the prediction the performance of heat pipe. The average relative errors of evaporator temperature, heat load, and effective thermal conductivity 1.0%, 1.7% and 2.9%, respectively.

With the development of data centers (DCs), traditional air cooling system was hard to meet cooling requirement. Single-phase immersion cooling system received more attention because of high performance and low energy consumption. However, the research for such technology is not enough. In this paper, the preferred heat sink is discussed, as well the coolant. Based on this, the heat sink is optimized according to different coolant. Results showed that, the performance of pin fin heat sink was better than that of micro-channel heat sink. Different coolants had different optimal fin spacing. The optimal fin spacing of FC3283 was 3 mm; for mineral oil and EC110, it was 5 mm. EC110 has the best performance in four coolants due to high thermal conductivity and low viscosity and density. The energy consumption can be reduced up to 0.22 W, compared to use mineral oil with 1 mm fin spacing.

Open refrigerated display cabinet (ORDC) is widely used in supermarket. It is very convenient for customer to take package. Therefore, the package is not full in ORDC in most time. And the different package arrangement could directly affect ORDC performance. Therefore, this paper optimizes the ORDC and aims to find an optimal structure to meet all different package arrangements. By using the validated model, the windshield and airfoil were employed. Results showed the optimal windshield width, the distance of from evaporator to windshield, and the distance from airfoil structure to shelf edge were 70 mm, 210 mm, and 80 mm, respectively. Under different package arrangements, the average temperature only varied 0.8 °C and the energy consumption 9%. The results obtained in this paper could provide guidance to optimize ORDC.