Polymer membranes – Fractal characteristics and determination of roughness scaling exponents

Daniel Johnson, Nidal Hilal

Research output: Contribution to journalArticle

Abstract

Surface roughness is a parameter widely reported when characterising membrane surfaces, due to its effect on membrane properties, such as fouling / biofouling and wetting. However, a surface does not have a single roughness value, rather the magnitude of measured roughness is dependent on the length scales of measurement. Here, we report findings from roughness measurements of several commercial filtration membrane surfaces using atomic force microscopy. All membranes showed self-affine behaviour at scan sizes below approximately 10 µm, where the magnitude of root mean squared roughness, Rq, was described by both the scan length and an exponential factor, H. Furthermore, we show that values of H can be obtained from power spectra of AFM images using a relatively simple approach. Using values of H and Rq obtained at a single scan size from image power spectra allowed us to estimate, within reasonable error, Rq values at other scan size, below a cross-over length. Above this crossover length roughness scaling was linear, rather than exponential for the membranes studied.

Original languageEnglish (US)
Pages (from-to)9-22
Number of pages14
JournalJournal of Membrane Science
Volume570-571
DOIs
StatePublished - Jan 15 2019

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Keywords

  • Atomic force microscopy
  • Polymer membrane
  • Roughness
  • Roughness scaling
  • Surface characterisation

ASJC Scopus subject areas

  • Biochemistry
  • Materials Science(all)
  • Physical and Theoretical Chemistry
  • Filtration and Separation

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