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Description
Extensive efforts have been devoted to understanding material failure in the last several decades. A suitable numerical method and specific failure criteria are required for failure simulation. The finite element method (FEM) is the most widely used approach for material mechanical modelling. Since FEM is based on partial differential equations,

Extensive efforts have been devoted to understanding material failure in the last several decades. A suitable numerical method and specific failure criteria are required for failure simulation. The finite element method (FEM) is the most widely used approach for material mechanical modelling. Since FEM is based on partial differential equations, it is hard to solve problems involving spatial discontinuities, such as fracture and material interface. Due to their intrinsic characteristics of integro-differential governing equations, discontinuous approaches are more suitable for problems involving spatial discontinuities, such as lattice spring method, discrete element method, and peridynamics. A recently proposed lattice particle method is shown to have no restriction of Poisson’s ratio, which is very common in discontinuous methods. In this study, the lattice particle method is adopted to study failure problems. In addition of numerical method, failure criterion is essential for failure simulations. In this study, multiaxial fatigue failure is investigated and then applied to the adopted method. Another critical issue of failure simulation is that the simulation process is time-consuming. To reduce computational cost, the lattice particle method can be partly replaced by neural network model.First, the development of a nonlocal maximum distortion energy criterion in the framework of a Lattice Particle Model (LPM) is presented for modeling of elastoplastic materials. The basic idea is to decompose the energy of a discrete material point into dilatational and distortional components, and plastic yielding of bonds associated with this material point is assumed to occur only when the distortional component reaches a critical value. Then, two multiaxial fatigue models are proposed for random loading and biaxial tension-tension loading, respectively. Following this, fatigue cracking in homogeneous and composite materials is studied using the lattice particle method and the proposed multiaxial fatigue model. Bi-phase material fatigue crack simulation is performed. Next, an integration of an efficient deep learning model and the lattice particle method is presented to predict fracture pattern for arbitrary microstructure and loading conditions. With this integration, computational accuracy and efficiency are both considered. Finally, some conclusion and discussion based on this study are drawn.
ContributorsWei, Haoyang (Author) / Liu, Yongming (Thesis advisor) / Chattopadhyay, Aditi (Committee member) / Jiang, Hanqing (Committee member) / Jiao, Yang (Committee member) / Oswald, Jay (Committee member) / Arizona State University (Publisher)
Created2021
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Description
This dissertation will investigate two of the most promising high-capacity anode

materials for lithium-based batteries: silicon (Si) and metal lithium (Li). It will focus on

studying the mechanical behaviors of the two materials during charge and discharge and

understanding how these mechanical behaviors may affect their electrochemical

performance.

In

This dissertation will investigate two of the most promising high-capacity anode

materials for lithium-based batteries: silicon (Si) and metal lithium (Li). It will focus on

studying the mechanical behaviors of the two materials during charge and discharge and

understanding how these mechanical behaviors may affect their electrochemical

performance.

In the first part, amorphous Si anode will be studied. Despite many existing studies

on silicon (Si) anodes for lithium ion batteries (LIBs), many essential questions still exist

on compound formation, composition, and properties. Here it is shown that some

previously accepted findings do not truthfully reflect the actual lithiation mechanisms in

realistic battery configurations. Furthermore the correlation between structure and

mechanical properties in these materials has not been properly established. Here, a rigorous

and thorough study is performed to comprehensively understand the electrochemical

reaction mechanisms of amorphous-Si (a-Si) in a realistic LIB configuration. In-depth

microstructural characterization was performed and correlations were established between

Li-Si composition, volumetric expansion, and modulus/hardness. It is found that the

lithiation process of a-Si in a real battery setup is a single-phase reaction rather than the

accepted two-phase reaction obtained from in-situ TEM experiments. The findings in this

dissertation establish a reference to quantitatively explain many key metrics for lithiated a

Si as anodes in real LIBs, and can be used to rationally design a-Si based high-performance

LIBs guided by high-fidelity modeling and simulations.

In the second part, Li metal anode will be investigated. Problems related to dendrite

growth on lithium metal anodes such as capacity loss and short circuit present major

barriers to the next-generation high-energy-density batteries. The development of

successful mitigation strategies is impeded by the incomplete understanding of the Li

dendrite growth mechanisms. Here the enabling role of plating residual stress in dendrite

initiation through novel experiments of Li electrodeposition on soft substrates is confirmed,

and the observations is explained with a stress-driven dendrite growth model. Dendrite

growth is mitigated on such soft substrates through surface-wrinkling-induced stress

relaxation in deposited Li film. It is demonstrated that this new dendrite mitigation

mechanism can be utilized synergistically with other existing approaches in the form of

three-dimensional (3D) soft scaffolds for Li plating, which achieves superior coulombic

efficiency over conventional hard copper current collectors under large current density.
ContributorsWang, Xu (Author) / Jiang, Hanqing (Thesis advisor) / Yu, Hongbin (Thesis advisor) / Chan, Candace (Committee member) / Wang, Liping (Committee member) / Qiong, Nian (Committee member) / Arizona State University (Publisher)
Created2018
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Description
Skin electronics is one of the most promising applications of stretchable electronics. The versatility of skin electronics can only be guaranteed when it has conformal contact with human skin. While both analytical and numerical solutions for contact between serpentine interconnects and soft substrate remain unreported, the motivation of this thesis

Skin electronics is one of the most promising applications of stretchable electronics. The versatility of skin electronics can only be guaranteed when it has conformal contact with human skin. While both analytical and numerical solutions for contact between serpentine interconnects and soft substrate remain unreported, the motivation of this thesis is to render a novel method to numerically study the conformability of the serpentine interconnects. This thesis explained thoroughly how to conduct finite element analysis for the conformability of skin electronics, including modeling, meshing method and step setup etc.. User-defined elements were implemented to the finite element commercial package ABAQUS for the analysis of conformability. With thorough investigation into the conformability of Fermat’s spiral, it has been found that the kirigami based pattern exhibits high conformability. Since thickness is a key factor to design skin electronics, the thesis also talked about how the change of thickness of the skin electronics impacts on the conformability.
ContributorsFan, Yiling (Author) / Jiang, Hanqing (Thesis advisor) / Hildreth, Owen (Committee member) / Yu, Hongbin (Committee member) / Arizona State University (Publisher)
Created2015