Published November 2019 | Version v1
Journal article

An experimental-numerical study of the adhesive static and dynamic friction of micro-patterned soft polymer surfaces

  • 1. Laboratory of Bio-Inspired & Graphene Nanomechanics, Department of Civil, Environmental and Mechanical Engineering, Università di Trento, via Mesiano, 77, I-38123 Trento (Italy)
  • 2. Department of Physics and "Nanostructured Interfaces and Surfaces" Inter-Departmental Centre, Università di Torino, Via P. Giuria 1, 10125 Torino (Italy)
  • 3. Centre for Materials and Microsystems, Fondazione Bruno Kessler, Via Sommarive 18, I-38123 Povo (Trento) (Italy)
  • 4. Fondazione E. Amaldi, Ket Lab, Via del Politecnico snc, 00133 Rome (Italy)
  • 5. School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS (United Kingdom)

Description

Highlights: • The effect of patterning on static/dynamic friction of soft polymer surfaces is investigated experimentally and numerically • Micro-patterns modify macroscopic static friction coefficients between -57 and +20% and dynamic ones between -35 and 30% • Calculations using an in-house developed 2D Spring-Block model are in good agreement with experimental results -- Abstract: New possibilities have emerged in recent years, with the development of high-precision fabrication techniques, to exploit microscale surface patterning to modify tribological properties of polymeric materials. However, the effect of surface topography, together with material mechanical parameters, needs to be fully understood to allow the design of surfaces with the desired characteristics. In this paper, we experimentally assess the effect of various types of micropatterned Polydimethylsiloxane surfaces, including anisotropic ones, on macroscopic substrate friction properties. We find that it is possible, through surface patterning, to modify both static and dynamic friction coefficients of the surfaces, demonstrating the possibility of achieving tunability. Additionally, we compare experimental observations with the numerical predictions of a 2D Spring-Block model, deriving the material parameters from tests on the corresponding flat surfaces. We find a good quantitative agreement between calculated and measured trends for various micropattern geometries, demonstrating that the proposed numerical approach can reliably describe patterned surfaces when appropriate material parameters are used. The presented results can further contribute to the description and understanding of the frictional effects of surface patterning, with the aim of achieving surfaces with extreme tunability of tribological properties.

Additional details

Identifiers

DOI
10.1016/j.matdes.2019.107930;
PII
S0264127519303685;

Publishing Information

Journal Title
Materials and Design
Journal Volume
181
Journal Page Range
vp.
ISSN
0264-1275
CODEN
MADSD2

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55049948
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ANISOTROPY; DESIGN; FRICTION; FRICTION FACTOR; GEOMETRY; NUMERICAL ANALYSIS; POLYMERS; SUBSTRATES; SURFACES; TOPOGRAPHY
Descriptors DEC
DIMENSIONLESS NUMBERS; MATHEMATICS

Optional Information

Copyright
Copyright (c) 2019 The Authors. Published by Elsevier Ltd.