CALCULATION MODEL OF FLUID TEMPERATURE IN GENERATOR STATOR BASED ON SPH METHOD, 203-211. SI
Weihua Ding
Keywords
SPH, motor stator, internal fluid, temperature distribution, heat transfer process
Abstract
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.
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