A statistical model for predicting size effects on the yield strength in dislocation-mediated crystal plasticity. (February 2021)
- Record Type:
- Journal Article
- Title:
- A statistical model for predicting size effects on the yield strength in dislocation-mediated crystal plasticity. (February 2021)
- Main Title:
- A statistical model for predicting size effects on the yield strength in dislocation-mediated crystal plasticity
- Authors:
- Gu, Yejun
Eastman, David W.
Hemker, Kevin J.
El-Awady, Jaafar A. - Abstract:
- Abstract: A unified statistical dislocation-mediated crystal plasticity model is proposed to understand how the sample size affects the yield strength of metals in different crystal systems, namely, single crystals, columnar-grain structured thin films, and polycrystals. The model takes into account the randomness of the pre-existing dislocation network, grain orientation, and grain size to predict the crystal strength as a function of the extrinsic (i.e. sample dimensions) and intrinsic (i.e. microstructural dimensions) length scales. The model is shown to rigorously capture the effect of size across all three crystal systems, i.e. convergence, scatter and overall trend of the strength, and the results are in good agreement with published experimental and simulation results. The developed model provides an accurate and efficient approach to predict the yield strength in metals.
- Is Part Of:
- Journal of the mechanics and physics of solids. Volume 147(2021)
- Journal:
- Journal of the mechanics and physics of solids
- Issue:
- Volume 147(2021)
- Issue Display:
- Volume 147, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 147
- Issue:
- 2021
- Issue Sort Value:
- 2021-0147-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02
- Subjects:
- Statistical model -- Size effect -- Yield strength -- Dislocations
Mechanics, Applied -- Periodicals
Solids -- Periodicals
Mechanics -- Periodicals
Mécanique appliquée -- Périodiques
Solides -- Périodiques
Mechanics, Applied
Solids
Periodicals
531.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00225096 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jmps.2020.104245 ↗
- Languages:
- English
- ISSNs:
- 0022-5096
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5016.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 27044.xml