Weihua Ding


SPH, motor stator, internal fluid, temperature distribution, heat transfer process


This study presents a smooth particle hydrodynamics-based model for calculating the temperature of the generator stator fluid. The temperature control of the generator is particularly important, as excessive temperatures may lead to a decrease in equipment performance or even equipment damage. Therefore, it is necessary to accurately and efficiently simulate and calculate temperature. It simulates the heat transfer and fluid dynamics processes inside the generator through a comprehensive physical model and smooth particle fluid dynamics algorithm. The results show that on the straight line of the slot wall, due to the viscous nature of the cooling medium, when the fluid flows from the slot wall, the velocity of the fluid on the slot wall is zero, and the temperature change of the fluid is significant, especially on the winding where the fluid comes into direct contact with the winding, resulting in drastic temperature changes. When the fluid flows through the winding and enters the yoke, the temperature of the fluid changes slowly. At the end of the simulation, the variance of the flow velocity on the ground for the control group was 1.725, whereas the variance of the flow velocity on the ground for the improved smooth particle hydrodynamics algorithm was 1.462, resulting in a difference of 84.76%. The innovation is reflected in the introduction of the SPH method for model simulation. This particle method specialises in handling fluid motion and interaction, particularly in dealing with large deformations and free interface problems. It offers unique advantages in predicting fluid temperature inside the generator stator. The model meticulously reflects many processes, such as fluid flow, conversion, and heat dissipation within the stator. As a result, it is equipped to predict temperature distribution with a high degree of accuracy and addresses the limitations of traditional models. Finally, through repeated experimental verification, the excellent performance of the model in predicting the temperature inside the stator has been strongly confirmed. This model can more accurately and efficiently predict the temperature changes inside the generator stator, which helps to detect potential faults in the generator early on and ensure the safe and stable operation of the equipment. ∗ School of Automobile and Traffic Engineering, Guangzhou City University of Technology, Guangzhou, China 510800; e-mail: Corresponding author: Weihua Ding Recommended by Srinivasan Alavandar

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