Wall wettability effect on process of collapse of single cavitation bubbles in near-wall region using pseudo-potential lattice Boltzmann method

Yang, Qian; He, Xiaolong; Peng, Haonan; Zhang, Jianmin

doi:10.1016/j.heliyon.2022.e12636

Cited by 9 publications

(3 citation statements)

References 77 publications

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“…Zevnik et al [ 14 ] studied the interaction between cavitation bubbles and compliant structures at the micro scale through numerical methods, clarifying the role of micro jet mechanism in cavitation sterilization applications. Yang et al [ 15 ] used the LBM model to simulate the process of cavitation bubble collapse near the wall indicated that wall wettability had a significant effect on the cavitation bubble collapse process. Shan et al [ 16 ] studied the thermodynamic characteristics of cavitation bubble collapse near a curved wall by with numerical methods, in which he investigated the mechanism of high temperature and high pressure generated at the moment of cavitation bubble collapse that brings a wall temperature increase.…”

Section: Introductionmentioning

confidence: 99%

Research on the collapse characteristics of single cavitation bubble near solid particle by the VOF method

Lyu,

Zhang,

Yuan

et al. 2023

Heliyon

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Section: Introductionmentioning

confidence: 99%

Research on the collapse characteristics of single cavitation bubble near solid particle by the VOF method

Lyu,

Zhang,

Yuan

et al. 2023

Heliyon

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“…Numerous studies have been carried out to simulate the growth or collapse processes of cavitation bubbles with pseudo-potential LBM [25,40,41,39,37,38,51,52,1,20,21,50,19,22], but most of these studies have simulated only the growth or collapse processes. In all the LBM-based cavitation bubble inception or growth studies, a vapor nucleus is initialized, and the bubble is formed by nucleus growth under the pressure difference between the bubble and the surrounding liquid [39,37,48,12].…”

mentioning

confidence: 99%

A lattice Boltzmann study of the thermodynamics of an interaction between two cavitation bubbles

He,

Song,

Peng

et al. 2024

DCDS-S

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A two-dimensional double-distribution-function thermal pseudopotential lattice Boltzmann model is applied to study the inception and evolution processes of cavitation bubbles. The inception process is realized by a high-temperature spot, while the growth and collapse processes are realized through the variation of the boundary pressure. Interactions between two equal-sized bubbles and two unequal-sized bubbles are systematically investigated. A modified Rayleigh-Plesset equation for the two cavitation bubbles that includes a weak interaction and thermal effects is proposed. For the weak interaction mode, the highest collapse temperature is lower than the initial input temperature due to energy dissipation. However, for the strong interaction mode, the maximum temperature is ultimately higher than the initial input temperature due to the superposition of an exothermic process. For the weak interaction mode between two unequal-sized bubbles, when the distance between the two bubbles is small, the re-entrant jets and pressure wave generated by the small bubble cause the inner wall of the large bubble to flatten. For the strong interaction film-thinning mode, the microjets and high pressure generated by the small bubble change the collapse direction of the large bubble.

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“…Others can modify the collision operator to account for wettability effects. This might involve introducing additional terms in the collision step that account for the interaction between the fluid and solid surfaces, which depends on the wetting properties (Yang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Dinâmica de fluidos em modelos de rede de poros: aplicações usando o Método de Redes de Boltzmann

Mamani

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A critical problem in fluid dynamics in porous media is describing the delay in fluid flow as it passes through the internal porous network. Capillary phenomena become predominant at the micrometre scale and significantly affect fluid displacement and petroleum recovery in porous media, such as porous rocks or artificial devices formed by heterogeneous microchannels with distinct wettability. Depending on the wettability and heterogeneity of the walls, fluid flow can be retarded and confined in the micropores. Here, the general objective is to determine the relationship between the quantity of fluid trapped within a micrometric porous medium based on i) the random geometric characteristics or ii) the wettable physical properties of the porous medium. This thesis focused on describing the i) porous media and ii) its fluid dynamics at the pore scale to model these phenomena. A natural porous medium is emulated using a Pore Network Model (PNM) formed by randomly distributed circles as solid walls to quantify the degree of randomness in the porous structure. This characterisation follows the adoption of the Voronoi diagram within the PNM, which uses the circle's positions as a starting point. Performing a statistical analysis of the Voronoi polygons allows for calculating the Shannon entropy, which measures pore randomness. Moreover, Lattice Boltzmann Method (LBM) simulations using the Explicit Force method are applied to address single-fluid flow or oil recovery by fluid injection because they can model multi-component flows in porous media with heterogeneous wettability at the micrometric scale. Initially, we studied the oil extraction by varying the shape, size, and configuration of the obstacles forming the hydrophilic PNM. Our results indicate that square shapes and small circles displace more oil, while random configurations retain a certain amount of oil. Furthermore, for the same porous structure, we observed that the addition of nanoparticles in the injected fluid improves oil recovery. To investigate the effect of randomness on fluid flow, we have designed PNMs based on circles ranging from perfectly ordered to fully disordered models. Additionally, we have examined the effects of size and porosity by varying the radius and the number of circles, respectively. Our simulations demonstrate that entropic information is directly related to the degree of tortuosity and permeability. The more disordered the obstacles or the higher entropic the PNM, the more the flow experiences more significant tortuosity and improved permeability. Based on the PNMs from the previous case, we study the effect of randomness on the oil recovery process. Our results show that entropic information is closely related to the amount of trapped oil. In other words, more disordered obstacles or PNMs with higher entropy lead to an increase in the amount of oil trapped in the random pore networks. Finally, the effect of heterogeneous wettability on the oil recovery process is studied. To uncouple the effects of geometric structure, PNMs are...

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Wall wettability effect on process of collapse of single cavitation bubbles in near-wall region using pseudo-potential lattice Boltzmann method

Cited by 9 publications

References 77 publications

Research on the collapse characteristics of single cavitation bubble near solid particle by the VOF method

Research on the collapse characteristics of single cavitation bubble near solid particle by the VOF method

A lattice Boltzmann study of the thermodynamics of an interaction between two cavitation bubbles

Dinâmica de fluidos em modelos de rede de poros: aplicações usando o Método de Redes de Boltzmann

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