A mean field model of agglomeration as an extension to existing precipitation models. (15th June 2020)
- Record Type:
- Journal Article
- Title:
- A mean field model of agglomeration as an extension to existing precipitation models. (15th June 2020)
- Main Title:
- A mean field model of agglomeration as an extension to existing precipitation models
- Authors:
- Seret, Anthony
Moussa, Charbel
Bernacki, Marc
Bozzolo, Nathalie - Abstract:
- Graphical abstract: Abstract: This work presents an analytical mean field model of agglomeration (equivalent agglomeration model, EAM) by contact between growing precipitates. The principle of the EAM is to add a 2-steps task to existing precipitation models: at each time-step, (1) calculate the number of agglomerations per unit volume, then (2) use it to update the numbers and radii of classes in order to take agglomeration into account. The first step is validated by full-field simulations of growing spheres randomly placed in a cube. The EAM can be added as extension to existing precipitation models and be applied to the mean radius, multi-class Lagrangian and multi-class Eulerian representations of the precipitate population. The EAM is incorporated to a mean field precipitation model based on the classical nucleation theory and Zener's law for size evolution, and catches the rarefaction of γ ″ precipitates agglomerating as they grow during an isothermal annealing in a nickel-based superalloy.
- Is Part Of:
- Acta materialia. Volume 192(2020)
- Journal:
- Acta materialia
- Issue:
- Volume 192(2020)
- Issue Display:
- Volume 192, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 192
- Issue:
- 2020
- Issue Sort Value:
- 2020-0192-2020-0000
- Page Start:
- 40
- Page End:
- 51
- Publication Date:
- 2020-06-15
- Subjects:
- Precipitation -- Agglomeration -- Mean-field analysis
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.2020.04.029 ↗
- 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:
- 25480.xml