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首页> 外文会议>World Tribology Congress III vol.1; 20050912-16; Washington,DC(US) >GRANULAR FLOW LUBRICATION: A LATTICE-BASED CELLULAR AUTOMATA MODELING APPROACH
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GRANULAR FLOW LUBRICATION: A LATTICE-BASED CELLULAR AUTOMATA MODELING APPROACH

机译：颗粒流动润滑：基于晶格的细胞自动建模方法

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摘要

Liquid lubricants break down at extreme temperatures and promote stiction in microano-scale environments. Consequently, using flows of solid granular particles as a "dry" lubrication mechanism in sliding contacts was proposed, because of their ability to carry loads and accommodate surface velocities. Granular flows are highly complex flows that in many ways act similar to fluids, yet are difficult to predict because they are not well understood. Granular flows are composed of discrete particles which display fluid and solid lubricant behavior with time. This work describes the usefulness of employing lattice-based cellular automata (CA) as a tool for modeling granular flows in tribological contacts. The granular kinetic lubrication (GKL) continuum modeling approach has been successful at predicting trends gleaned from experiments conducted with granules in a couette shear cell. These results are used as a benchmark for determining the effectiveness of the CA modeling results. While the CA model was constructed entirely from rule-based mathematics, velocity and solid fraction results from the simulations were in good agreement with those from the GKL model benchmark results.
机译：液体润滑剂在极端温度下会分解，并在微米/纳米级环境中促进粘连。因此，提出了使用固体颗粒流作为滑动接触中的“干”润滑机制，因为它们具有承载载荷和适应表面速度的能力。颗粒流是高度复杂的流，其行为在许多方面与流体相似，但由于无法很好地理解而难以预测。颗粒流由离散的颗粒组成，这些颗粒随时间显示流体和固体润滑剂的行为。这项工作描述了使用基于晶格的细胞自动机（CA）作为对摩擦接触中的颗粒流进行建模的工具的有用性。颗粒动力学润滑（GKL）连续体建模方法已成功预测了在Couette剪切室中使用颗粒进行的实验所收集的趋势。这些结果用作确定CA建模结果有效性的基准。虽然CA模型完全由基于规则的数学构造而成，但模拟的速度和固体分数结果与GKL模型基准结果的结果非常吻合。

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