Multiscale simulation of water flow through laboratory-scale nanotube membranes

Matthew K. Borg, Duncan A. Lockerby, Konstantinos Ritos, Jason M. Reese

Research output: Contribution to journalArticle

17 Citations (Scopus)
6 Downloads (Pure)

Abstract

Water purification membranes comprising aligned, dense arrays of carbon nanotubes (CNTs) have been investigated for more than 10 years. Water transport 2-5 orders of magnitude greater than Hagen-Poiseuille predictions has been observed in CNTs of diameters 0.8 to 10 nm in a small number of experiments. While the measured flow rates in different experiments substantially disagree with each other, there is a clear opportunity for these membranes to impact filtration technologies. We proposes a multiscale computational flow method that combines molecular dynamics (MD) simulations in critical locations of the membrane with a continuum flow resistance model. This provides the flow resistances in a nanotube membrane configuration to enable, for the first time, computationally-efficient macroscopic predictions of flows through laboratory-scale membranes. The multiscale simulation results of water flow through CNTs are also used to calibrate the Hagen-Poiseuille-Weissberg equation with slip. This study reveals that the slip length, density and viscosity can vary with CNT diameter at sub-2-nm diameters, which would otherwise be challenging to compute using MD alone. Previously published experimental results show either clear agreement or clear disagreement with our multiscale predictions; more work is required to understand this variance for similar flow cases.
Original languageEnglish
Number of pages17
JournalJournal of Membrane Science
Early online date3 Sep 2018
DOIs
Publication statusE-pub ahead of print - 3 Sep 2018

Keywords

  • multiscale
  • carbon nanotubes
  • flow enhancement
  • molecular dynamics
  • nanofluidics

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