학술논문

Heat Transfer in a Ferrofluid-Based Transformer: Multiphysics Modeling Using the Finite Element Method
Document Type
Periodical
Source
IEEE Journal on Multiscale and Multiphysics Computational Techniques IEEE J. Multiscale Multiphys. Comput. Tech. Multiscale and Multiphysics Computational Techniques, IEEE Journal on. 7:207-219 2022
Subject
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Components, Circuits, Devices and Systems
Computing and Processing
Oil insulation
Power transformer insulation
Cooling
Vegetable oils
Temperature measurement
Temperature
Convection
Fluid Mechanics
Electromagnetism
Heat Transfer
Multiphysics Coupling
Transformers
Finite Element Modeling
Language
ISSN
2379-8815
2379-8793
Abstract
This paper deals with a thermal-fluid-magnetic analysis based on the 3D finite element method to study the cooling efficiency inside a ferrofluid-based transformer. This cooling approach is first tested, both experimentally and numerically, on an axisymmetric coil. After cross-validation of the numerical and experimental results, a 400/230V transformer with a non-axisymmetric ferromagnetic core is modeled. The device is immersed in a steel tank filled with cobalt ferrite nanoparticles-based Midel vegetable oil. The time evolution of the temperature is recorded whether the Helmholtz magnetic force is activated or not. A decrease in the local temperature of the coil sensors by about 10 K is observed when the impact of the magnetic force is considered. Numerical results prove the beneficial effect of thermomagnetic convection on transformer cooling.