Numerical and experimental modelization of the two-phase mixing in a small scale stirred vessel

Varela, Sylvana; Martínez, Manuel; Delgado, Jorge A.; Godard, Cyril; Curulla‐Ferré, Daniel; Pallarès, Jordi; Vernet, Antón

doi:10.1016/j.jiec.2017.11.015

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…αD,min lower than 0.95 caused a wave signal with considerable noise. A αD,min lower than 0.95 was reported to capture the interface for the Eulerian multiphase CFD model [28,29].…”

Section: Detection Of Surface Wavementioning

confidence: 93%

Wave Characteristics of Coagulation Bath in Dry-Jet Wet-Spinning Process for Polyacrylonitrile Fiber Production Using Computational Fluid Dynamics

2019

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In this work, a three-dimensional volume-of-fluid computational fluid dynamics (VOF-CFD) model was developed for a coagulation bath of the dry-jet wet spinning (DJWS) process for the production of polyacrylonitrile (PAN)-based carbon fiber under long-term operating conditions. The PAN-fiber was assumed to be a deformable porous zone with variations in moving speed, porosity, and permeability. The Froude number, interpreted as the wave-making resistance on the liquid surface, was analyzed according to the PAN-fiber wind-up speed ( v P A N ). The effect of the PAN speed on the reflection and wake flow formed by drag between a moving object and fluid is presented. A method for tracking the wave amplitude with time is proposed based on the iso-surface of the liquid volume fraction of 0.95. The wave signal for 30 min was divided into the initial and resonance states that were distinguished at 8 min. The maximum wave amplitude was less than 0.5 mm around the PAN-fiber inlet nozzle for v P A N = 0.1–0.5 m/s in the resonance state. The VOF-CFD model is useful in determining the maximum v P A N under an allowable air gap of the DJWS process.

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“…αD,min lower than 0.95 caused a wave signal with considerable noise. A αD,min lower than 0.95 was reported to capture the interface for the Eulerian multiphase CFD model [28,29].…”

Section: Detection Of Surface Wavementioning

confidence: 93%

Wave Characteristics of Coagulation Bath in Dry-Jet Wet-Spinning Process for Polyacrylonitrile Fiber Production Using Computational Fluid Dynamics

2019

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“…Comparing with the experimental methods, it provides detailed understanding of mixing phenomenon in a timely-efficient manner without requiring meticulous choice of equipment and sensors. In reaction engineering, CFD has been employed to study mixing in chemical reactors [15][16][17][18][19], and bio-reactors [20][21][22], where good agreement with experiments were achieved. The complex hydrodynamics, mass transfer, heat transfer and reaction kinetic can be satisfactorily captured by CFD, making it a powerful tool in process design.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Reaction Selectivity Using CFD-Based Compartmental Modeling and Surrogate-Based Optimization

Yang¹,

Kiang²,

Farzan³

et al. 2018

Preprint

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Mixing is considered as a critical process parameter (CPP) during process development due to its significant influence on reaction selectivity and process safety. Nevertheless, mixing issues are difficult to identify and solve owing to their complexity and dependence on knowledge of kinetics and hydrodynamics. In this paper, we proposed an optimization methodology using Computational Fluid Dynamics (CFD) based compartmental modelling to improve mixing and reaction selectivity. More importantly, we have demonstrated that through the implementation of surrogate-based optimization, the proposed methodology can be used as a computationally non-intensive way for rapid process development of reaction unit operations. For illustration purpose, reaction selectivity of a process with Bourne competitive reaction network is discussed. Results demonstrate that we can improve reaction selectivity by dynamically controlling rates and locations of feeding in the reactor. The proposed methodology incorporates mechanistic understanding of the reaction kinetics together with an efficient optimization algorithm to determine the optimal process operation and thus can serve as a tool for quality-by-design (QbD) during product development stage.

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Process and performance of DAAF microspheres prepared by continuous integration from synthesis to spherical coating based on microfluidic system

Shi

Meng-Sen

et al. 2024

Defence Technology

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Numerical and experimental modelization of the two-phase mixing in a small scale stirred vessel

Cited by 4 publications

References 15 publications

Wave Characteristics of Coagulation Bath in Dry-Jet Wet-Spinning Process for Polyacrylonitrile Fiber Production Using Computational Fluid Dynamics

Wave Characteristics of Coagulation Bath in Dry-Jet Wet-Spinning Process for Polyacrylonitrile Fiber Production Using Computational Fluid Dynamics

Optimization of Reaction Selectivity Using CFD-Based Compartmental Modeling and Surrogate-Based Optimization

Process and performance of DAAF microspheres prepared by continuous integration from synthesis to spherical coating based on microfluidic system

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