Scaling features of the tribology of polymer brushes of increasing grafting density around the mushroom-to-brush transition

E. Mayoral, J. Klapp, and A. Gama Goicochea
Phys. Rev. E 95, 012505 – Published 19 January 2017

Abstract

Nonequilibrium coarse-grained, dissipative particle dynamics simulations of complex fluids, made up of polymer brushes tethered to planar surfaces immersed in a solvent yield nonmonotonic behavior of the friction coefficient as a function of the polymer grating density on the substrates, Γ, while the viscosity shows a monotonically increasing dependence on Γ. This effect is shown to be independent of the degree of polymerization, N, and the size of the system. It arises from the composition and the structure of the first particle layer adjacent to each surface that results from the confinement of the fluid. Whenever such layers are made up of as close a proportion of polymer beads to solvent particles as there are in the fluid, the friction coefficient shows a minimum, while for disparate proportions the friction coefficient grows. At the mushroom-to-brush transition (MBT) the viscosity scales with an exponent that depends on the characteristic exponent of the MBT (6/5) and the solvent quality exponent (ν=0.5, for θsolvent), but it is independent of the polymerization degree (N). On the other hand, the friction coefficient at the MBT scales as μN6/5, while the grafting density at the MBT scales as ΓN6/5 when friction is minimal, in agreement with previous scaling theories. We argue these aspects are the result of cooperative phenomena that have important implications for the understanding of biological brushes and the design of microfluidics devices, among other applications of current academic and industrial interest.

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  • Received 8 September 2016
  • Revised 29 December 2016

DOI:https://doi.org/10.1103/PhysRevE.95.012505

©2017 American Physical Society

Physics Subject Headings (PhySH)

Polymers & Soft Matter

Authors & Affiliations

E. Mayoral1, J. Klapp1,2, and A. Gama Goicochea3,*

  • 1Instituto Nacional de Investigaciones Nucleares, Carretera México-Toluca s/n, La Marquesa Ocoyoacac, Estado de México 52750, Mexico
  • 2“ABACUS” Centro de Matemáticas Aplicadas y Cómputo de Alto Rendimiento, Departamento de Matemáticas, Centro de Investigación y de Estudios Avanzados (CINVESTAV-IPN), Carretera México-Toluca Km 38.5, La Marquesa, Ocoyoacac, Estado de México 52740, Mexico
  • 3División de Ingeniería Química y Bioquímica, Tecnológico de Estudios Superiores de Ecatepec, Avenida Tecnológico s/n, Ecatepec, Estado de México 55210, Mexico

  • *Corresponding author: agama@alumni.stanford.edu

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Issue

Vol. 95, Iss. 1 — January 2017

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