Modeling grain boundary segregation by prediction of all the necessary parameters. (15th May 2019)
- Record Type:
- Journal Article
- Title:
- Modeling grain boundary segregation by prediction of all the necessary parameters. (15th May 2019)
- Main Title:
- Modeling grain boundary segregation by prediction of all the necessary parameters
- Authors:
- Lejček, Pavel
Hofmann, Siegfried - Abstract:
- Abstract: A thermodynamic model of equilibrium grain boundary segregation in real binary systems is proposed which is based on the prediction of all the necessary parameters. These parameters are (i) the standard enthalpy and (ii) the standard entropy of grain boundary segregation, both related to ideal behavior, as well as (iii) the Fowler binary interaction coefficient describing the real contribution. Application of the model is shown in detail for the example of iron-based binary systems and predictions are compared to data published in the literature. Graphical abstract: Scheme of the procedure of obtaining the parameters of grain boundary segregation.Image 1
- Is Part Of:
- Acta materialia. Volume 170(2019)
- Journal:
- Acta materialia
- Issue:
- Volume 170(2019)
- Issue Display:
- Volume 170, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 170
- Issue:
- 2019
- Issue Sort Value:
- 2019-0170-2019-0000
- Page Start:
- 253
- Page End:
- 267
- Publication Date:
- 2019-05-15
- Subjects:
- Grain boundaries -- Solute segregation -- Thermodynamics -- Anisotropy -- Iron
Materials -- Periodicals
Materials science -- Periodicals
Materials -- Mechanical properties -- Periodicals
Metallurgy -- Periodicals
Chemistry, Inorganic -- Periodicals
620.112 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13596454 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.actamat.2019.03.037 ↗
- Languages:
- English
- ISSNs:
- 1359-6454
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0629.920000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9842.xml