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仿生表面的表面降解、自组织和自修复的热力学

Thermodynamics of surface degradation, self-organization and self-healing for biomimetic surfaces.

作者信息

Nosonovsky Michael, Bhushan Bharat

机构信息

Stevens Institute of Technology, Castle Point on Hudson, Hoboken, NJ 07030, USA.

出版信息

Philos Trans A Math Phys Eng Sci. 2009 Apr 28;367(1893):1607-27. doi: 10.1098/rsta.2009.0009.

Abstract

Friction is a dissipative irreversible process; therefore, entropy is produced during frictional contact. The rate of entropy production can serve as a measure of degradation (e.g. wear). However, in many cases friction leads to self-organization at the surface. This is because the excess entropy is either driven away from the surface, or it is released at the nanoscale, while the mesoscale entropy decreases. As a result, the orderliness at the surface grows. Self-organization leads to surface secondary structures either due to the mutual adjustment of the contacting surfaces (e.g. by wear) or due to the formation of regular deformation patterns, such as friction-induced slip waves caused by dynamic instabilities. The effect has practical applications, since self-organization is usually beneficial because it leads to friction and wear reduction (minimum entropy production rate at the self-organized state). Self-organization is common in biological systems, including self-healing and self-cleaning surfaces. Therefore, designing a successful biomimetic surface requires an understanding of the thermodynamics of frictional self-organization. We suggest a multiscale decomposition of entropy and formulate a thermodynamic framework for irreversible degradation and for self-organization during friction. The criteria for self-organization due to dynamic instabilities are discussed, as well as the principles of biomimetic self-cleaning, self-lubricating and self-repairing surfaces by encapsulation and micro/nanopatterning.

摘要

摩擦是一个耗散的不可逆过程;因此,在摩擦接触过程中会产生熵。熵产生率可作为退化(如磨损)的一种度量。然而,在许多情况下,摩擦会导致表面的自组织。这是因为多余的熵要么被驱离表面,要么在纳米尺度上释放,而中尺度熵则会减少。结果,表面的有序性增加。自组织会导致表面二级结构的形成,这要么是由于接触表面的相互调整(如通过磨损),要么是由于形成规则的变形模式,如由动态不稳定性引起的摩擦诱导滑移波。这种效应具有实际应用价值,因为自组织通常是有益的,因为它会导致摩擦和磨损的减少(在自组织状态下熵产生率最低)。自组织在生物系统中很常见,包括自愈和自清洁表面。因此,设计成功的仿生表面需要理解摩擦自组织的热力学。我们提出了熵的多尺度分解,并为摩擦过程中的不可逆退化和自组织制定了一个热力学框架。讨论了由动态不稳定性导致的自组织标准,以及通过封装和微/纳米图案化实现仿生自清洁、自润滑和自修复表面的原理。

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