The permanent magnetic couple is a non-contact transmission device with higher transmission efficiency than a traditional rigid transmission device. Slotting the copper conductor disc on the permanent magnetic coupler can further improve the transmission performance. This paper proposes an optimization calculation model for the slotted permanent magnetic coupler, uses ANSYS Maxwell to simulate and verifies the model to improve the transmission performance. The value of magnet pairs and the slots are 6 and 35 respectively; then we simulate output torque when the slot ratio changes from 0.5 to 0.9. The simulation results verify the accuracy of the optimization model. This paper obtains the optimization scheme of the slotted permanent magnetic coupler under different parameters. The calculation model can guide the determination of a slotted permanent magnetic coupler, which is of great significance to improve the efficiency of the transmission system.
KEYWORDS: Clouds, Denoising, Digital filtering, Signal to noise ratio, Image segmentation, Optical filters, Visualization, Data acquisition, Principal component analysis
The assembly gap between components is very vital for the evaluation of assembly quality of aircrafts. Due to the limits of gap size and operation space, the assembly gap needs to be indirectly calculated by the measurements of surface of components instead of plug gauge test. However, the surface constituted of point cloud is usually mixed with different types of noise ,which severely affects the evaluation of assembly gap. To remove these different types of noise simultaneously with high efficiency, a classified denoising method combining with an improved bilateral filtering and median filtering was proposed. Firstly, based on the principal component analysis, a new coordinate system was established to achieve the homogeneity of coordinates of point cloud. Then, an improved median filtering method on the basis of region segmentation (RSMF) was used to remove large-scale noise. Next, the fast bilateral filtering method based on threshold segmentation (TSBF) was proposed to remove small-scale noise. Finally, a measurement experiment of aircraft component was performed to verify the effectiveness of the proposed method. Experimental results showed that the proposed method could not only reduce measurement error including RMSE (Root Mean Square Error), but also improve SNR (Signal Noise Ratio) and PSNR (Peak Signal to Noise Ratio) of point cloud data.
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