The Measurement and Characterization of Magnetic Field in a Radial Magnetic Bearing
Magnetic bearings utilize magnetic field to provide the necessary support for machinery to operate. They are complex systems that utilize technology from several different fields of science and engineering and are commonly referred to as a “mechatronic productâ€. Magnetic Field indicates the relationship between 2 of the most important parameters in a magnetic bearing—current and force.This paper first predicts magnetic filed distributions with different current excitation through a 2D FEA method, then measures the magnetic flux density according to the different magnetic filed distributions using a 3-channel Hall Effect Gaussmeter and the measurement data are depicted with a Matlab software. Finally a more precise 3D FEA method is used to calculate the magnetic field of the magnetic bearing. The compassion between the 3D FEA calculation and measurement data indicates that they have a good consistency. It is concluded that the measurement and 3D FEA based magnetic field calculation can accurately characterize the magnetic field distribution in the magnetic bearing and the result can guide the design and analysis of the magnetic bearing effectively.
Dear Authors,
Radial magnetic bearing is a very interesting topic in the bearing area. Related to FEA for characterizing the magnetic field distribution. My comments and questions to your paper are as follows:
(i)Comment and question No.1:
1.1 How to the FEA results for the design of the magnetic bearing?
1.2 Can we predict the experiment results based on the analysis of FEA? (what is the correlation equation or (factors) about the FEA and experiment results?)
(ii)Comment and question No.2:
The problem modelling and boundary condition are the most important issues in FEA and it influences a lot on the FEA results.
Could you please present about the boundary conditions applied on your FEA model?
(iii) Comment and question No.3
What is the influences of the meshing methods and number of elements to the final FEA results of your analysis model?
This is very important because it makes sure that the FEA results should be consistent and the difference must be in the acceptable range (normally it must be less than 5%).
Many thanks,
Le, Cardiff University