2020
DOI: 10.1016/j.partic.2019.08.003
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CFD-DNS simulation of irregular-shaped particle dissolution

Abstract: This is a repository copy of CFD-DNS simulation of irregular-shaped particle dissolution.

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Cited by 20 publications
(11 citation statements)
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“…2 (h) that sulfur particles signi cantly deviate from being perfectly spherical, with an average shape factor of 0.81. However, as shown by Cao et al who conducted a CFD-DNS analysis of differently shaped particles with an identical surface area, dissolution rates can vary signi cantly with varying shape factor, emphasising the need to include particle shape analysis in Li-S battery modelling and ideally to include realistic sulfur particle geometries from X-ray CT data in the modelling studies [30]. Previous Li-S battery modelling studies used the Bruggeman correlation to represent the effective transport parameters in the C/S electrode [3,10,11,13,14,16,18,27,29,31,32].…”
Section: Resultsmentioning
confidence: 99%
“…2 (h) that sulfur particles signi cantly deviate from being perfectly spherical, with an average shape factor of 0.81. However, as shown by Cao et al who conducted a CFD-DNS analysis of differently shaped particles with an identical surface area, dissolution rates can vary signi cantly with varying shape factor, emphasising the need to include particle shape analysis in Li-S battery modelling and ideally to include realistic sulfur particle geometries from X-ray CT data in the modelling studies [30]. Previous Li-S battery modelling studies used the Bruggeman correlation to represent the effective transport parameters in the C/S electrode [3,10,11,13,14,16,18,27,29,31,32].…”
Section: Resultsmentioning
confidence: 99%
“…It can be inferred from the shape factor distribution shown in Figure 3 (h) that sulfur particles significantly deviate from being perfectly spherical, with an average shape factor of 0.81. However, as shown by Cao et al who conducted a CFD-DNS analysis of differently shaped particles with an identical surface area, dissolution rates can vary significantly with varying shape factor, emphasising the need to include particle shape analysis in Li-S battery modelling and ideally to include realistic sulfur particle geometries from X-ray CT data in the modelling studies [31]. Previous Li-S battery modelling studies used the Bruggeman correlation to represent the effective transport parameters in the C/S electrode.…”
Section: D Characterisation Of S/c Electrode Microstructurementioning
confidence: 99%
“…When solid sulfur comes into contact with DOL:DME electrolyte, the sulfur dissolution process begins. This process is governed by the Nernst-Brunner equation [31,37] and is a function of the particle size distribution and the interface area between sulfur and electrolyte.…”
Section: Effect Of Sulfur Dissolution On Microstructural Propertiesmentioning
confidence: 99%
“…These models can be used to evaluate varying time and volume scales from 0D to 3D, thereby accurately capturing the effects of sophisticated chemical, electrochemical, and transport phenomena occurring within a Li/S cell. There are several approaches to developing these models, which are based on well-established mesoscale LiB modeling methods [12,102], the particle-based lattice Boltzmann method (LBM) [103], and direct numerical simulation (DNS)-based computational fluid dynamics (CFD) [104]. LBM is used to evaluate pore-scale transport equations on a pixel-level lattice.…”
Section: Continuum Modelsmentioning
confidence: 99%