期刊
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
卷 228, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijsolstr.2021.111099
关键词
Grain boundary; Lithium transport; Crack propagation; Cohesive-zone modeling; Stresses analysis
类别
资金
- Adolf Messer Foundation
- German Research Foundation DFG [STE 2350/1-1]
- National Science Foundation [DMR 1809866]
This study developed a thermodynamically consistent framework to investigate the unique chemo-mechanics phenomena resulting from grain boundaries. Constitutive laws for large deformations were derived from free energies, and a chemomechanically coupled cohesive zone model was developed to consider the presence of grain boundaries.
The unique mechanical properties and transport features of grain boundaries (GBs) in polycrystalline materials have been widely investigated. However, studies which focus on the unique chemo-mechanics phenomena resulting from GBs' are exceedingly sparse. In this work, a thermodynamically consistent framework has been developed to explore the multi-physics coupling between mechanics and species diffusion. Constitutive laws for the bulk and the across-GB interaction laws have been derived for large deformations from the system free energies. A chemo-mechanically coupled cohesive zone model is developed which takes into account mode-dependent fracture properties in the presence of GBs. Polycrystalline LiNixMnyCozO2 (NMC) particles and LixV2O5 nanowires haveueen selected to demon-strate the impact of GBs on the modeled and observed chemo-mechanics. The model has been imple-mented in the open-source finite element (FE) package MOOSE. Simulation results indicate that the chemical process and the mechanical degradation go hand-in-hand, where enhanced intergranular chemical inhomogeneities weaken the mechanical strength of the GBs, while damage to the GBs affects or even block transport across the GB. Furthermore, experimentally observed characteristics of chemo-mechanical degradation, e.g., chemical hot-spots and surface layer delamination can be accurately pre-dicted by the model. (C) 2021 Elsevier Ltd. All rights reserved.
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