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Ab Initio Modeling Of Friction Reducing Agents Shows Quantum Mechanical Interactions Can Have Macroscopic Manifestation

机译:摩擦减少剂的从头计算显示量子力学   相互作用可以有宏观显示

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摘要

Two of the most commonly encountered friction reducing agents used in plasticsheet production are the amides known as erucamide and behenamide, whichdespite being almost identical chemically, lead to markedly different values ofthe friction coefficient. To understand the origin of this contrastingbehavior, in this work we model brushes made of these two types of linear chainmolecules using quantum mechanical numerical simulations under the DensityFunctional Theory at the B97D/6-31G(d,p)level of theory. Four chains oferucamide and behenamide were linked to a 2X10 zigzag graphene sheet andoptimized both in vacuum and in continuous solvent using the SMD implicitsolvation model. We find that erucamide chains tend to remain closer togetherthrough {\pi}{\pi} stacking interactions arising from the double bonds locatedat C13 C14, a feature behenamide lacks and thus a more spread configuration isobtained with the latter. It is argued that this arrangement of the erucamidechains is responsible for the lower friction coefficient of erucamide brushes,compared with behenamide brushes, which is a macroscopic consequence ofcooperative quantum mechanical interactions. While only quantum levelinteractions are modeled here, we show that behenamide chains are more spreadout in the brush than erucamide chains as a consequence of those interactions.The spread out configuration allows more solvent particles to penetrate thebrush, leading in turn to more friction, in agreement with macroscopicmeasurements and mesoscale simulations of the friction coefficient reported inthe literature.
机译:在塑料片材生产中使用的两种最常见的减摩剂是称为芥酸酰胺和山hen酰胺的酰胺,尽管它们在化学上几乎相同,但导致摩擦系数的值明显不同。为了了解这种相反行为的起源,在这项工作中,我们在密度泛函理论的B97D / 6-31G(d,p)水平上,使用量子力学数值模拟对由这两种类型的线性链分子制成的刷子进行建模。将四链芥酸酰胺和山hen酰胺链接到2X10之字形石墨烯片上,并使用SMD隐溶剂模型在真空和连续溶剂中进行优化。我们发现,通过位于C13 C14上的双键产生的{\ pi} {\ pi}堆积相互作用,芥酸酰胺链趋于保持更紧密的结合,缺乏山hen酰胺的特征,因此后者获得了更广泛的构型。有人认为,与山hen酰胺刷相比,这种芥酸酰胺链的排列是造成芥酸酰胺刷较低的摩擦系数的原因,这是合作量子力学相互作用的宏观结果。尽管这里仅对量子级相互作用进行了建模,但我们发现山hen酰胺链由于这些相互作用而比芥酸酰胺链更易分散在刷子中。分散的构型允许更多的溶剂颗粒渗透到刷子中,从而导致更大的摩擦力文献中报道的摩擦系数的宏观测量和中尺度模拟。

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