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Ripple Patterns Spontaneously Emerge through Sequential Wrinkling Interference in Polymer Bilayers.

Luca Pellegrino1, Annabelle Tan1, João T Cabral1

  • 1Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom.

Physical Review Letters
|February 18, 2022
PubMed
Summary
This summary is machine-generated.

Researchers created unique "ripple" patterns on polymer surfaces using spontaneous buckling. These micron-scale patterns share similarities with natural ripples and can be controlled for custom surface designs.

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Area of Science:

  • Materials Science
  • Polymer Physics
  • Surface Science

Background:

  • Spontaneous buckling of polymeric bilayers can generate complex surface topographies.
  • Surface wave phenomena are observed in various natural and engineered systems, including sedimentary ripples.

Purpose of the Study:

  • To investigate the formation and characteristics of ripple patterns generated by sequential superposition of nonorthogonal surface waves in polymeric bilayers.
  • To establish a model for rationalizing the observed patterns and enabling controlled surface design.

Main Methods:

  • Excitation of surface waves through spontaneous buckling of polymeric bilayers.
  • Sequential superposition of nonorthogonal surface waves.
  • Analysis of pattern topography, defects, and bifurcations.
  • Development of a minimal wave summation model.

Main Results:

  • Formation of micron-scale "ripple" patterns analogous to sedimentary ripples.
  • Identification of commonalities in topography, defects, and bifurcations between synthetic and natural ripples.
  • Rationalization of pattern formation based on defect density and relative wave angle.
  • Correlation of in-plane bending angle with polymer skin thickness.

Conclusions:

  • The study reveals a novel mechanism for generating controlled surface patterns in polymeric materials.
  • A predictive model allows for the design of specific ripple and checkerboard surfaces by tuning material properties and fabrication parameters.
  • This work bridges the understanding between natural pattern formation and engineered microstructures.