Abstract
Three-dimensional (3D) particle tracking is a challenging task in dense granular systems. Magnetic particle tracking has been developed in recent years to reconstruct a tracer’s trajectory in granular systems. The method can be low-cost, compact, and flexible. In this work we applied a Hall sensor array method to track the trajectories of a magnetic intruder particle in a 3D granular bed in the centrifuge of the Chinese Space Station (CSS). We present a developed algorithm. By placing sensors in an array in a same plane, our algorithm can exclude the interference of varying external field. The method’s static accuracy can reach 0.02 cm, and the maximum deviation of our measurement from a known path is also checked to be 0.02 cm. On CSS, two independent sensor arrays are used to cross-check the accuracy of the method. The two measured trajectories are well overlapped. This confirms the method’s reliability and robustness of tracking an intruder in a dense granular bed.
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Data Availability
The datasets generated during the current study are available from the corresponding author on reasonable request.
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Funding
This study is supported by the Space Application System of China Manned Space Program YYWT-0601-EXP-20, the ESA-CMSA/CSU Space Scince and Utilization collaboration program, and the National Key R&D Program of China (2022YFF0503504). K.C. and T.L. would like to thank the support by Wenzhou Institute, University of Chinese Academy of Sciences.
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Ke Cheng developed the algorithm and processed the experimental data. Meiying Hou wrote the draft and is responsible for the research. Tuo Li and Mingcheng Yang participate in the discussion. Zhihong QIao, Peng Liu, Jianzhi Ding, Wei Sun, Yuman Li, Fade Gao and Xiang Li are responsible for the instrumentation.
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Cheng, K., Hou, M., Li, T. et al. Tracking the Motion of an Intruder Particle in a Three-Dimensional Granular Bed On-board the Chinese Space Station. Microgravity Sci. Technol. 36, 15 (2024). https://doi.org/10.1007/s12217-024-10102-2
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DOI: https://doi.org/10.1007/s12217-024-10102-2