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Role of Roughness Parameters on the Tribology of Randomly Nano-Textured Silicon Surface

机译:粗糙度参数在随机化纳米结构硅表面摩擦学中的作用

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This experimental work is oriented to give a contribution to the knowledge of the relationship among surface roughness parameters and tribological properties of lubricated surfaces; it is well known that these surface properties are strictly related, but a complete comprehension of such correlations is still far to be reached. For this purpose, a mechanical polishing procedure was optimized in order to induce different, but well controlled, morphologies on Si(100) surfaces. The use of different abrasive papers and slurries enabled the formation of a wide spectrum of topographical irregularities (from the submicro- to the nano-scale) and a broad range of surface profiles. An AFM-based morphological and topographical campaign was carried out to characterize each silicon rough surface through a set of parameters. Samples were subsequently water lubricated and tribologically characterized through ball-on-disk tribometer measurements. Indeed, the wettability of each surface was investigated by measuring the water droplet contact angle, that revealed a hydrophilic character for all the surfaces, even if no clear correlation with roughness emerged. Nevertheless, this observation brings input to the purpose, as it allows to exclude that the differences in surface profile affect lubrication. So it is possible to link the dynamic friction coefficient of rough Si samples exclusively to the opportune set of surface roughness parameters that can exhaustively describe both height amplitude variations (R_a, R_(dq)) and profile periodicity (R_(sk), R_(ku), I_c) that influence asperity-asperity interactions and hydrodynamic lift in different ways. For this main reason they cannot be treated separately, but with dependent approach through which it was possible to explain even counter intuitive results: the unexpected decreasing of friction coefficient with increasing R_a is justifiable by a more consistent increasing of kurtosis R_(ku).
机译:该实验工作旨在为了解表面粗糙度参数与润滑表面的摩擦学特性之间的关系做出贡献。众所周知,这些表面特性是严格相关的,但是要完全理解这些相关性还很远。为此,对机械抛光工艺进行了优化,以在Si(100)表面上诱导出不同但可控的形态。使用不同的砂纸和泥浆可以形成宽范围的形貌不规则(从亚微米级到纳米级)和广泛的表面轮廓。进行了基于AFM的形态学和地形学研究,以通过一组参数表征每个硅粗糙表面。随后对样品进行水润滑,并通过球盘式摩擦计测量进行摩擦学表征。实际上,通过测量水滴的接触角来研究每个表面的可湿性,即使没有发现与粗糙度的明显关系,该接触角也显示了所有表面的亲水性。然而,这种观察为该目的带来了投入,因为它可以排除表面轮廓的差异影响润滑。因此可以将粗糙的Si样品的动摩擦系数专门链接到可以适当描述高度幅度变化(R_a,R_(dq))和轮廓周期性(R_(sk),R_( ku),I_c)以不同的方式影响粗糙-粗糙相互作用和流体动力提升。出于这个主要原因,不能将它们分开处理,而是可以使用依赖的方法来解释甚至是相反的直观结果:随着峰度R_(ku)的持续增加,摩擦系数随R_a的增加而意外降低是有道理的。

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