Investigation of magnet segmentation techniques for eddy current losses reduction in permanent magnets electrical machines
Reducing eddy current losses in magnets of electrical machines can be obtained by means of several techniques. The magnet segmentation is the most popular one. It imposes the least restrictions on machine performances. This paper investigates the effectiveness of the magnet circumferential segmentation technique to reduce these undesirable losses. The full and partial magnet segmentation are both studied for a frequency range from few Hz to a dozen of kHz. To increase the efficiency of these techniques to reduce losses for any working frequency, an optimization strategy based on coupling of finite elements analysis and genetic algorithm is applied. The purpose of this paper is to define the parameters of the total and partial segmentation that can ensure the best reduction of eddy current losses.
Magnet Segmentation Techniques for laminated magnet, Rare Earth NdFeB and SmCo lamination magnet, Segmentation Technology Layered Magnet
Laminated magnets (Magnet Segmentation Techniques) can reduce eddy current Loss in high efficiency motors.
High efficiency demands the best materials, and the laminated rare earth magnets are proven to reduce eddy current losses in high efficiency motors. Fewer eddy current losses means lower heat and greater efficiency.
Magnet Segmentation Techniques for Eddy Current Losses Reduction
Design/methodology/approach
First, a model to analyze eddy current losses is presented. Second, the effectiveness of full and partial magnet circumferential segmentation to reduce eddy loss is studied for a range of frequencies from few Hz to a dozen of kHz. To achieve these purposes a 2-D finite element model is developed under MATLAB environment. In a third step of the work, an optimization process is applied to adjust the segmentation design parameters for best reduction of eddy current losses in case of surface mounted permanent magnets synchronous machine.
Findings
In case of the skin effect operating, both full and partial magnet segmentations can lead to eddy current losses increases. Such deviations of magnet segmentation techniques can be avoided by an appropriate choice of their design parameters.
What is magnet segmentation techniques?
The magnet made by segmentation technology can be called laminated magnet, layered magnet, split magnet and segmented magnet. For magnet segmentation technology, the whole magnet will be segmented into several pieces, then processed into specific shape and dimension after glued together by special isolation glue.
According to many simulation cases and actual products, the magnet segmentation technique has excellent performance to prevent the eddy current. With the increase of segment, the eddy current losses of permanent magnet significantly decreased. Magnet segmentation technique has been already applied in the NdFeB and SmCo magnet.
Segmentation Laminated Magnet Steel Assembly has small vortex , while remain the same performance with overall magnet assembly or even superior. Most of the rotor magnet in motor and electric car can use such a design, so to increase the application of insulated stitching magnet components .
Feature of product：
1, excellent table magnetic consistency.
2, a unique way to produce, in the production efficiency, product manufacturing accuracy and cost control has a competitive advantage.
3, the overall plating of the surface protection technology, and has excellent resistance to high temperature and humidity of the anti-corrosion properties.
Originality/value
Few works are dedicated to investigate partial magnet segmentation for eddy current losses reduction. This paper studied the effectiveness and behaviour of partial segmentation for different frequency ranges. To avoid eventual anomalies related to the skin effect an optimization process based on the association of the finite elements analysis to genetic algorithm method is adopted.
Brain tumor extraction is challenging task because brain image and its structure are complicated that can be analyzed only by expert physicians or radiologist. Brain tumor detection and segmentation is one of the most challenging and time consuming task in medical image processing. The image segmentation is a very difficult job in the image processing and challenging task for clinical diagnostic tools. MRI (Magnetic Resonance Imaging) is a visualization medical technique, which provides plentiful information about the human soft tissue, which helps in the diagnosis of brain tumor. Accurate segmentation of the MRI images is extremely important and essential for the exact diagnosis by computer aided clinical tools. There are different types of segmentation algorithms for MRI brain images. This paper is to check existing approaches of Brain tumor segmentation techniques in MRI image for Computer aided diagnosis.
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