A CFD-PBM approach for modeling ice slurry flow in horizontal pipes

Xu, Dan; Liu, Zhiqiang; Cai, Lingling; Tang, Yifang; Yu, Yunxia; Xu, Aixiang

doi:10.1016/j.ces.2017.11.022

Cited by 42 publications

(6 citation statements)

References 35 publications

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“…In this regard, computational fluid dynamics programs (CFD) seem to be a suitable numerical method (Wang et al, 2019). Therefore, it is also commonly used to solve the controlling equations of fluid flow (Xu et al, 2018). Many researchers use ANSYS software, which is commercial software for fluid mechanics.…”

Section: Computational and Modelling Methods Of Ice Slurrymentioning

confidence: 99%

Progress of ice slurry in food industry: application, production, heat and mass transfer

Lyu

Zhu

Tang

et al. 2022

Int J of Food Sci Tech

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Clean label foods have gained a lot of attention because it satisfies consumers' interest in minimally processed foods with minimal ingredients and no artificial additives. The growing concern about food quality has stimulated the integration of ice slurry technology in food processing. An ice slurry is a two-phase system colding medium composed of ice crystals, liquid water and some additives. Ice slurry with ice fraction of 5%-30% was 5-6 times than that of conventional chilled water under the same conditions. The appearance of the food is less likely to be damaged by the ice slurry while also being able to cool down quickly compared to traditional ice preservation methods. It further extends the shelf life of food products. The purpose of this review is to provide an understanding and practical suggestions for the application of ice slurry in the food industry. The methods of producing ice slurry and their advantages and disadvantages are reviewed, and the current applications and heat and mass transfer characteristics of ice slurry in the food industry are also discussed. Finally, the current challenges and prospects for ice slurry production and application were pointed out.

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Section: Computational and Modelling Methods Of Ice Slurrymentioning

confidence: 99%

Progress of ice slurry in food industry: application, production, heat and mass transfer

Lyu

Zhu

Tang

et al. 2022

Int J of Food Sci Tech

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“…Coupling of PBM (Population Balance Model) and CFD provides a unique opportunity to describe the synthesis of nanoparticles by understanding the formation of polydisperse entities in complex fluid behaviours, with lower computational cost than other approaches, such as a purely Lagrangian framework [11]. Such coupled PBM-CFD methods have been previously reported to describe the formation of particles and droplets in two-phase systems such as bubble columns [27][28][29][30][31][32], and in crystallisation systems (without considering the chemical reactions) [33][34][35]. In recent years, substantial efforts have been invested in the development of couple PBM-CFD models for the synthesis of silver nanoparticle [36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Predicting the Size of Silver Nanoparticles Synthesised in Flow Reactors: Coupling Population Balance Models with Fluid Dynamic Simulations

Casado,

Pinho,

Marugán

et al. 2023

Preprint

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“…Hydrodynamic simulations have been developed to simulate gas hydrate development in multiphase pipelines, opening the way for a more in-depth analysis of deep-sea multiphase pipelines [25][26][27]. Experimental and modeling studies into methane hydrate production in oil dispersed mediums has got a lot of coverage lately [28,29]. Gas hydrate formation in multiphase pipelines of gas dominant or dominant oil structures containing black oil or crude oil is analyzed in depth later to approximate real-time subsea conditions and gas hydrate kinetics [30].…”

Section: Introductionmentioning

confidence: 99%

Development of a Prediction Model for Gas Hydrate Formation in Multiphase Pipelines by Artificial Intelligence

et al. 2022

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A prediction model is developed by means of artificial neural networks (ANNs) to determine the gas hydrate formation kinetics in multiphase gas dominant pipelines with crude oil. Experiments are conducted to determine the rate of formation and reaction kinetics of hydrates formation in multiphase systems. Based on the results, an artificial intelligence model is proposed to predict the gas hydrate formation rate in multiphase transmission pipelines. Two ANN models are suggested with single-layer perceptron (SLP) and multilayer perceptron (MLP). The MLP shows more accurate prediction when compared to SLP. The models were predicted accurately with high prediction accuracy both for the pure and multiphase systems.

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A CFD-PBM approach for modeling ice slurry flow in horizontal pipes

Cited by 42 publications

References 35 publications

Progress of ice slurry in food industry: application, production, heat and mass transfer

Progress of ice slurry in food industry: application, production, heat and mass transfer

Predicting the Size of Silver Nanoparticles Synthesised in Flow Reactors: Coupling Population Balance Models with Fluid Dynamic Simulations

Development of a Prediction Model for Gas Hydrate Formation in Multiphase Pipelines by Artificial Intelligence

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