Haoyu Ding , Xiaoxiao Wang , Haofeng Chen , Weiling Luan , Shan-Tung Tu
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引用次数: 0
Abstract
Si C composites are considered potential anode materials due to better cycling stability, compared to pure silicon. However, severe volume expansion of Si during cycling results in various failure forms of Si C particles, exposing the Si core to the electrolyte, generating Solid-Electrolyte Interface (SEI) films, and consuming lithium-ions in the electrolyte solution. In this paper, a coupled mechanical-chemical model is developed to analyze different failure modes of the particle during the charge and discharge cycle. Besides, the Direct Steady Cyclic Analysis (DSCA) under the Linear Matching Method (LMM) framework is utilized to evaluate the fatigue damage at the critical location of the particle. With the C shell thickness increased, the particle is more prone to debonding failure between the Si core and C shell, while a thicker C shell can mitigate the volume expansion of the Si core and alleviate fatigue damage in the C shell. This study also establishes a threshold size to identify the significant acceleration of low-cycle fatigue damage, which provides theoretical guidance for particle design.
期刊介绍:
Typical subjects discussed in International Journal of Fatigue address:
Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements)
Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions)
Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation)
Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering
Smart materials and structures that can sense and mitigate fatigue degradation
Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.