Modelling hydrogen migration and trapping in steels
Modelling hydrogen migration and trapping in steels
Hydrogen embrittlement remains of critical concern in the design of strong and reliable microstructures in steels. The role of microstructure in susceptibility to hydrogen trapping is evaluated using a numerical thermokinetic simulation approach. The simulation scheme is applied to evaluate variations in dislocation density and grain size in pure ferritic iron, ferritic and martensitic low alloy steels during cooling and ferritic steels under deformation. Additionally, variations in NbC nanoprecipitates in low alloy tempered martensitic steel, and coherent and incoherent TiC precipitates in low alloy steels were evaluated. These simulations were conducted to quantify the influence of such features on the trapping efficiency of interstitial hydrogen. To simulate the diffusion process in a complex microstructure, a mean field approach is applied. Modelling approaches adopting physically based formulations for the calculation of the trapping-affected concentration of hydrogen in the lattice are suggested, adopted in the present calculations and validated for a wide range of experimental and microstructural conditions. The combination of thermokinetic simulations with hydrogen trapping behaviours is the first of its kind and presents a means to incorporate the effects of various microstructural features, with respect to hydrogen migration and trapping, in the design of hydrogen embrittlement resistant steels.
Hydrogen, Microstructure, Multiscale simulation, Precipitation, Steel
205-215
Stopher, Miles Alexander
bf62ae76-6f53-4c28-98f2-74ebda3653ea
Lang, Peter
bef725d4-8fce-435a-bd61-4631aa75c813
Kozeschnik, Ernst
e07e4bd5-651d-4b6d-b510-62f8366a20a7
Rivera-Diaz-del-Castillo, Pedro E.J.
6e0abc1c-2aee-4a18-badc-bac28e7831e2
5 June 2016
Stopher, Miles Alexander
bf62ae76-6f53-4c28-98f2-74ebda3653ea
Lang, Peter
bef725d4-8fce-435a-bd61-4631aa75c813
Kozeschnik, Ernst
e07e4bd5-651d-4b6d-b510-62f8366a20a7
Rivera-Diaz-del-Castillo, Pedro E.J.
6e0abc1c-2aee-4a18-badc-bac28e7831e2
Stopher, Miles Alexander, Lang, Peter, Kozeschnik, Ernst and Rivera-Diaz-del-Castillo, Pedro E.J.
(2016)
Modelling hydrogen migration and trapping in steels.
Materials and Design, 106, .
(doi:10.1016/j.matdes.2016.05.051).
Abstract
Hydrogen embrittlement remains of critical concern in the design of strong and reliable microstructures in steels. The role of microstructure in susceptibility to hydrogen trapping is evaluated using a numerical thermokinetic simulation approach. The simulation scheme is applied to evaluate variations in dislocation density and grain size in pure ferritic iron, ferritic and martensitic low alloy steels during cooling and ferritic steels under deformation. Additionally, variations in NbC nanoprecipitates in low alloy tempered martensitic steel, and coherent and incoherent TiC precipitates in low alloy steels were evaluated. These simulations were conducted to quantify the influence of such features on the trapping efficiency of interstitial hydrogen. To simulate the diffusion process in a complex microstructure, a mean field approach is applied. Modelling approaches adopting physically based formulations for the calculation of the trapping-affected concentration of hydrogen in the lattice are suggested, adopted in the present calculations and validated for a wide range of experimental and microstructural conditions. The combination of thermokinetic simulations with hydrogen trapping behaviours is the first of its kind and presents a means to incorporate the effects of various microstructural features, with respect to hydrogen migration and trapping, in the design of hydrogen embrittlement resistant steels.
This record has no associated files available for download.
More information
Accepted/In Press date: 14 May 2016
e-pub ahead of print date: 28 May 2016
Published date: 5 June 2016
Keywords:
Hydrogen, Microstructure, Multiscale simulation, Precipitation, Steel
Identifiers
Local EPrints ID: 492422
URI: http://eprints.soton.ac.uk/id/eprint/492422
ISSN: 0264-1275
PURE UUID: aa7b9ca2-3c3f-4c19-9bf6-684c03acf23c
Catalogue record
Date deposited: 26 Jul 2024 16:36
Last modified: 27 Jul 2024 02:08
Export record
Altmetrics
Contributors
Author:
Miles Alexander Stopher
Author:
Peter Lang
Author:
Ernst Kozeschnik
Author:
Pedro E.J. Rivera-Diaz-del-Castillo
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics