Use of Distributed Threshold Fouling Model at Local Scale in Numerical Simulations

Chambon, Anthony; Anxionnaz‐Minvielle, Zoé; Fourmigué, Jean-François; Guintrand, Nathalie; Davailles, Aurélien; Ducros, F.

doi:10.1021/acs.iecr.9b02328

Cited by 3 publications

(1 citation statement)

References 11 publications

(20 reference statements)

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“…Scholars have studied the process of particle deposition by using different numerical models, such as Lagrangian particle tracking, Eulerian two-phase approach, discrete particle model (DPM), and mixture model. − Xu et al developed the micron-scale particle deposition model based on the Eulerian method and user-defined functions (UDF), and studied the particle deposition of plain tubes and converging–diverging tubes. The simulation findings indicate that the fouling resistance in both tubes increases with concentration and decreases with flow velocity, with a converging–diverging tube having a lower fouling resistance.…”

Section: Introductionmentioning

confidence: 99%

Particulate Fouling Analysis and Optimization of Heat Transfer Tubes Inserted with a Self-Rotating Rotor Coupled with RSM and MOGA

Xie,

Wu,

Wang

et al. 2024

Ind. Eng. Chem. Res.

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Particulate fouling, a typical scaling formation in heat transfer tubes, is a crucial cause of pipe clogging and thermal efficiency reduction. We innovatively proposed a new type of self-rotating rotor inserted into tubes to improve the antifouling performance and employed the Eulerian−Eulerian model incorporating an empirical fouling model that accounted for both particle deposition and removal mechanisms. Additionally, we utilized the multiple reference frame (MRF) model to simulate the rotation of the self-rotating rotor at various flow rates. To investigate the influence of the configuration parameters and optimize the thermal and antifouling performance of the self-rotating rotor, we combined the response surface method (RSM) with a multiobjective genetic algorithm (MOGA). First, we observed that the temperature increment initially increased and then decreased with increasing in velocity. Moreover, the temperature increment initially decreases and then increases with an increase in the width of the rotor, and it decreases as the pitch of the rotor increases. The fouling resistance decreases with increasing velocity, while the relationship between fouling resistance and width/pitch varies with velocity. To determine the sensitivity of the temperature increment and fouling resistance to the configuration parameters, we conducted local sensitivity analyses, demonstrating that pitch had the most significant effect on the temperature increment, followed by velocity, while width exhibited the least influence. Furthermore, the fouling resistance was found to be highly sensitive to changes in velocity with a sensitivity value of −96.01%. Based on Pareto set analysis, we identified an optimal configuration that resulted in a 9.4% enhancement in the temperature increment and a 59.3% reduction in fouling resistance. These findings can serve as valuable references for the selection and design of self-rotating rotors.

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Section: Introductionmentioning

confidence: 99%

Particulate Fouling Analysis and Optimization of Heat Transfer Tubes Inserted with a Self-Rotating Rotor Coupled with RSM and MOGA

Xie,

Wu,

Wang

et al. 2024

Ind. Eng. Chem. Res.

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Compartmental Modelling of Shell Side Fouling in a Shell and Tube Heat Exchanger

Taurgalinov

Santamaria

Macchietto

2021

Computer Aided Chemical Engineering

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Modeling Strategies for Crude Oil-Induced Fouling in Heat Exchangers: A Review

et al. 2023

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Semi-empirical fouling models have proven more effective in predicting the fouling behavior of crude oils in heat exchangers. These models have aided refineries in optimizing operating conditions to minimize or eliminate fouling in preheat exchangers. Despite their complexity, the models continue to improve in approximating real behavior by taking into account previously neglected aspects. This paper summarizes these findings from various studies along with highlighting different factors which were considered to enhance the predictability of the models. A critical analysis is presented to emphasize that activation energy in the deposition term varies depending on the physical processes involved and may not conform to the precise definition of activation energy. Two primary modeling approaches for crude oil fouling have emerged, i.e., deterministic and threshold models. Threshold models have gained more attention due to their fewer adjustable parameters. The stability or compatibility of crude oils has a substantial impact on asphaltene deposition, which is a major contributor to fouling. However, incorporating this factor into fouling models has received little attention. The inclusion of parameters for inorganic fraction and ageing has increased predictability by accurately estimating the fouling thickness. The use of CFD to analyze fouling mechanisms is promising, particularly for complex geometries. The dynamic and moving boundary modeling approach has potential to broaden the applicability of fouling models.

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Use of Distributed Threshold Fouling Model at Local Scale in Numerical Simulations

Cited by 3 publications

References 11 publications

Particulate Fouling Analysis and Optimization of Heat Transfer Tubes Inserted with a Self-Rotating Rotor Coupled with RSM and MOGA

Particulate Fouling Analysis and Optimization of Heat Transfer Tubes Inserted with a Self-Rotating Rotor Coupled with RSM and MOGA

Compartmental Modelling of Shell Side Fouling in a Shell and Tube Heat Exchanger

Modeling Strategies for Crude Oil-Induced Fouling in Heat Exchangers: A Review

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