205
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Atomic ordering at the interfaces between liquid Al and solid MgO: An Ab Initio molecular dynamics study

Pages 235-244 | Received 14 May 2019, Accepted 30 Mar 2020, Published online: 17 Apr 2020
 

ABSTRACT

Magnesia (MgO) particles inevitably exist in Al-Mg based alloys and can act as potential nucleation sites during solidification processing. In this paper we investigated the effect of MgO substrates on the atomic ordering in the liquid Al adjacent to the liquid Al/solid MgO interfaces using an ab initio molecular dynamics approach. We found that at thermal equilibrium, on the O-terminated MgO{1 1 1} surface forms an Al-terminating layer that contains vacancies and is thus atomically rough. In contrast, we found that both Mg-terminating MgO{1 1 1} and MgO{0 0 1} substrates are stable in liquid Al. The analysis suggests that the MgO{1 1 1} substrate with a new Al-terminating layer has much less templating power for atomic ordering in the liquid Al compared with that of the Mg-terminated MgO{1 1 1} substrate. In addition, there is also little atomic ordering in the liquid Al adjacent to the MgO{0 0 1} substrate due to the chemical interaction between the substrate surface and the liquid Al.

Acknowledgements

We thank Dr H. Men (BCAST, Brunel University London) for beneficent discussions.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

Financial support from Engineering and Physical Sciences Research Council (UK) under [grant number EP/N007638/1] is gratefully acknowledged.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.