Concentration dependence of hydrogen diffusion in α-iron from atomistic perspectives

Md Abdullah Al Hasan, Jiaqi Wang, Yong Chae Lim, Anming Hu, Seungha Shin

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Evaluation of hydrogen diffusion in structural materials is essential to predict the leakage and embrittlement of hydrogen storage applications. In this work, we investigate the atomic-scale diffusion of interstitial hydrogen (H) in α-iron (Fe) over a temperature range from 350 to 900 K with different H concentrations (0.01–5%), employing classical molecular dynamics (MD) simulations. The self-diffusivity of H atoms increases with increasing temperature and decreasing concentration. With low concentrations, the calculated diffusion properties agree well with prior experiments. However, with a higher concentration (≥1%), the H diffusivity at low temperatures deviates from a high-temperature Arrhenius behavior. Through the energetic and structural analysis, we suggest that this deviation is attributed to a reduced mobility due to increased energy barrier by other H interstitials. This work contributes to the effective design of H storage applications by identifying temperature and concentration effects on permeability and addressing possible microstructural transformation.

Original languageEnglish
Pages (from-to)27876-27884
Number of pages9
JournalInternational Journal of Hydrogen Energy
Volume44
Issue number51
DOIs
StatePublished - Oct 22 2019

Funding

The authors gratefully acknowledge the financial support by Mission Agency Research Seed Program of Office of Research and Engagement at the University of Tennessee Knoxville. This work utilized the resources of Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation Grant number ACI-1053575. The authors appreciate fruitful discussion with Justin Garner and Cameron Wagner. The authors gratefully acknowledge the financial support by Mission Agency Research Seed Program of Office of Research and Engagement at the University of Tennessee Knoxville. This work utilized the resources of Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation Grant number ACI-1053575 . The authors appreciate fruitful discussion with Justin Garner and Cameron Wagner.

Keywords

  • Concentration
  • Hydrogen clustering
  • Hydrogen diffusion
  • Molecular dynamics simulation
  • Temperature
  • α-iron

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