Verification of a virtual lunar regolith simulant

Joe Louca, J. Vrublevskis, Kerstin Eder, Antonia Tzemanaki
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Abstract

Introduction: Physical regolith simulants are valuable tools for developing In-Situ Resource Utilisation hardware. However, using virtual models of regolith instead can reduce costs, limit exposure to hazardous materials, and offer a practical method of testing the effects of reduced gravity.Methods: We verify a virtual model of regolith as macroparticles against physical tests. Using space partitioning techniques to identify neighbouring particles, we present a scalable model of regolith, in which the computation time increases roughly proportionally with the number of particles. We evaluated the performance of this virtual simulant vs. a physical simulant (Exolith LMS-1) by comparing the flow rate through funnels of various diameters, and the resultant angle of repose of material on both large (500 g) and small (16 g) scale tests.Results: For large scale tests, the flow rates were within the predicted range for macroparticles with radii 3–7 mm, with the greatest accuracy achieved for radii 4–5 mm. However, the macroparticles blocked the simulated funnels more easily than in the physical trials, due to their high cohesion. The angle of repose was not accurately represented by this model for either of the tests.Discussion: The high efficiency of this model makes it best suited for applications which require large scale approximations of regolith with real-time execution, such as virtual training for robot operators or providing visual and haptic feedback in model-mediated teleoperation systems. The results of this model in reduced gravity could be further verified against data from upcoming lunar missions in future work.
验证虚拟月球碎屑模拟物
导言:物理岩石模拟器是开发原地资源利用硬件的宝贵工具。然而,使用虚拟的岩石模型可以降低成本,减少接触有害物质的机会,并为测试重力下降的影响提供一种实用的方法:我们通过物理测试验证了作为大颗粒的岩石虚拟模型。利用空间分割技术识别相邻颗粒,我们提出了一个可扩展的流石模型,其中计算时间的增加与颗粒数量大致成正比。我们通过比较通过不同直径漏斗的流速,以及在大规模(500 克)和小规模(16 克)试验中材料随之产生的静止角,评估了这种虚拟模拟物与物理模拟物(Exolith LMS-1)的性能:在大规模试验中,半径为 3-7 毫米的大颗粒的流速在预测范围内,半径为 4-5 毫米的大颗粒的流速精度最高。然而,与物理试验相比,大颗粒更容易堵塞模拟漏斗,这是因为它们具有很高的内聚力。在这两次试验中,该模型都没有准确地表示静止角:讨论:该模型的高效率使其最适合于需要大规模近似流石并实时执行的应用,如机器人操作员的虚拟训练或在以模型为中介的远程操作系统中提供视觉和触觉反馈。在未来的工作中,可以根据即将进行的月球任务的数据进一步验证该模型在重力降低情况下的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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