Graphene-based woven filter membrane with excellent strength and efficiency for water desalination

Tianyi Liu, Jiahui Lyv, Yihua Xu, Chuanbao Zheng, Yisi Liu, Ran Fu, Lijun Liang*, Jianyang Wu, Zhisen Zhang

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Nanoporous graphene/graphene oxide (NPGs/NPGOs) has been widely used in desalination because of their high selective separation efficiency. However, it is difficult for NPGs/NPGOs to achieve both high water flux and excellent mechanical properties. In this paper, graphene strips are woven into filter membrane (GWFMs), which can significantly increase mechanical property. Water flux, flow rate, salt rejection and mechanical properties of GWFMs are calculated by molecular dynamics (MD) simulation. Two nanopore size of GWFMs are designed, namely 0.8 nm and 0.6 nm. The tensile strength of GWFM-0.6nm and GWFM-0.8nm are 48.87 GPa and 42.29 GPa, with water flux as high as 18.53 ± 0.99 L cm−2 day−1 MPa−1 and 39.22 ± 2.50 L cm−2 day−1 MPa−1, which are three orders of magnitude higher than existing commercial reverse osmosis membranes in water flux. The free energy profiles of H2O and ions passing through GWFMs show that the free energy barrier difference between water molecules and Na+/Cl can reach ~35 kBT (GWFM-0.6nm), guaranteeing almost 100% desalination efficiency at constant pressure from 10 MPa to 500 MPa during simulation time. Our results provide general framework to design desalination membrane with high water flux and high tensile strength using nano-woven technic.

Original languageEnglish
Article number115775
JournalDesalination
Volume533
DOIs
Publication statusPublished - 1 Jul 2022

Keywords

  • Graphene-based woven filter membrane (GWFMs)
  • Mechanical property
  • Molecular dynamics simulation
  • Water desalination
  • Water flux

Fingerprint

Dive into the research topics of 'Graphene-based woven filter membrane with excellent strength and efficiency for water desalination'. Together they form a unique fingerprint.

Cite this