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On the Behavior of Granular Materials in Rough Wheel Contacts on Mars

机译:火星粗糙轮接触中粒状材料的行为

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The extremely remote location of Mars suggests that it is not possible to carry enough flight resources to make a roundtrip. Therefore, in-situ mining, conveyance, and transporting of Martian soil must be conducted with the aid of wheel-based vehicles. However, there is limited understanding of the behavior of granular materials in rough rolling contacts with prescribed wheel roughness (or traction). On earth, rolling contacts in the presence of liquid surfaces oftentimes exhibit boundary-traction and hydrodynamic slip, where accurate prediction of the traction behavior between the wheel and the surface is governed by dry friction and hydrodynamic theory. Since granular materials have been known to behave as solids and liquids, a predictive modeling framework is needed to study the behavior of these complex materials under load and as a function of wheel roughness in interfaces. This work describes the usefulness of employing a tribology-based continuum modeling approach, known as granular kinetic lubrication (GKL), to model granular flows in a rough and fixedload parallel shear cell. Additionally, a lattice, rule-based mathematics modeling approach, known as cellular automata, is explored as a more simplified tool for modeling complex granular systems in shear cells. Results from the two modeling approaches are compared and comments about their usefulness in advancing an understanding of vehicle transport on Martian regolith are made. Lastly, preliminary experimental results are presented on granular flows with varying wheel roughness.
机译:火星的位置极为偏远,这表明不可能携带足够的飞行资源来回程。因此,必须借助轮式车辆进行火星土壤的现场开采,运输和运输。但是,对于粒状材料在规定的车轮粗糙度(或牵引力)下的粗糙滚动接触中的行为了解有限。在地球上,存在液体表面的滚动接触通常会表现出边界牵引力和流体动力滑移,其中轮和表面之间的牵引行为的准确预测受干摩擦和流体动力理论的支配。由于已知粒状材料表现为固体和液体,因此需要一个预测模型框架来研究这些复杂材料在载荷下的行为以及界面中轮粗糙度的函数。这项工作描述了使用基于摩擦学的连续体建模方法(称为颗粒动力学润滑(GKL))对粗糙和固定载荷的平行剪切单元中的颗粒流进行建模的有用性。此外,探索了一种基于规则的基于格的数学建模方法,称为细胞自动机,它是一种用于对剪切单元中的复杂颗粒系统进行建模的更简化的工具。比较了两种建模方法的结果,并提出了关于它们在增进对火星re石上车辆运输的理解方面的有用性的评论。最后,给出了具有不同轮粗糙度的颗粒流的初步实验结果。

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