Electrochemomechanics of lithium dendrite growth

2019 ◽  
Vol 12 (12) ◽  
pp. 3595-3607 ◽  
Author(s):  
Aniruddha Jana ◽  
Sang Inn Woo ◽  
K. S. N. Vikrant ◽  
R. Edwin García

The work demonstrates the electrochemomechanical driving forces, equilibrium, and large deformation kinetics for lithium dendrite growth.

2013 ◽  
Vol 05 (01) ◽  
pp. 1350001 ◽  
Author(s):  
WILLIAM TOH ◽  
ZISHUN LIU ◽  
TENG YONG NG ◽  
WEI HONG

This work examines the dynamics of nonlinear large deformation of polymeric gels, and the kinetics of gel deformation is carried out through the coupling of existing hyperelastic theory for gels with kinetic laws for diffusion of small molecules. As finite element (FE) models for the transient swelling process is not available in commercial FE software, we develop a customized FE model/methodology which can be used to simulate the transient swelling process of hydrogels. The method is based on the similarity between diffusion and heat transfer laws by determining the equivalent thermal properties for gel kinetics. Several numerical examples are investigated to explore the capabilities of the present FE model, namely: a cube to study free swelling; one-dimensional constrained swelling; a rectangular block fixed to a rigid substrate to study swelling under external constraints; and a thin annulus fixed at the inner core to study buckling phenomena. The simulation results for the constrained block and one-dimensional constrained swelling are compared with available experimental data, and these comparisons show a good degree of similarity. In addition to this work providing a valuable tool to researchers for the study of gel kinetic deformation in the various applications of soft matter, we also hope to inspire works to adopt this simplified approach, in particular to kinetic studies of diffusion-driven mechanisms.


Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 778
Author(s):  
Emmanuel Purlis ◽  
Chiara Cevoli ◽  
Angelo Fabbri

Volume change and large deformation occur in different solid and semi-solid foods during processing, e.g., shrinkage of fruits and vegetables during drying and of meat during cooking, swelling of grains during hydration, and expansion of dough during baking and of snacks during extrusion and puffing. In addition, food is broken down during oral processing. Such phenomena are the result of complex and dynamic relationships between composition and structure of foods, and driving forces established by processes and operating conditions. In particular, water plays a key role as plasticizer, strongly influencing the state of amorphous materials via the glass transition and, thus, their mechanical properties. Therefore, it is important to improve the understanding about these complex phenomena and to develop useful prediction tools. For this aim, different modelling approaches have been applied in the food engineering field. The objective of this article is to provide a general (non-systematic) review of recent (2005–2021) and relevant works regarding the modelling and simulation of volume change and large deformation in various food products/processes. Empirical- and physics-based models are considered, as well as different driving forces for deformation, in order to identify common bottlenecks and challenges in food engineering applications.


Rare Metals ◽  
2021 ◽  
Author(s):  
Wei-Wei Han ◽  
Ryanda Enggar Anugrah Ardhi ◽  
Gui-Cheng Liu

2018 ◽  
Vol 42 (21) ◽  
pp. 17311-17316 ◽  
Author(s):  
Changjin Li ◽  
Zhengyi Qian ◽  
Yulin Ma ◽  
Pengjian Zuo ◽  
Chunyu Du ◽  
...  

Bifunctional electrolyte additive KI could effectively inhibit lithium dendrite growth and reduce the charge overpotential simultaneously.


2021 ◽  
Vol MA2021-02 (3) ◽  
pp. 360-360
Author(s):  
Julia Meyer ◽  
Partha P. Mukherjee ◽  
Scott A. Roberts ◽  
Katharine Harrison

Nanoscale ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 3424-3434 ◽  
Author(s):  
Hao Cheng ◽  
Yangjun Mao ◽  
Yunhao Lu ◽  
Peng Zhang ◽  
Jian Xie ◽  
...  

Trace fluorinated-CNT-modified metallic lithium enables in situ LiF-rich SEI formation and effectively eliminates lithium dendrite growth.


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