Chaotic characteristics of pseudoplastic fluid induced by 6PBT impeller in a stirred vessel

Luan, Deyu; Chen, Yiming; Wang, Hong; Wang, Yue; Wei, Xing

doi:10.1016/j.cjche.2018.06.001

Cited by 9 publications

(4 citation statements)

References 18 publications

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“…Therefore, Kolmogorov entropy has been widely used to quantitatively characterize the chaotic advection intensity of a chaotic system. Luan et al , used Kolmogorov entropy to describe the chaotic advection intensity of the flow field in a stirred reactor and correlated the Kolmogorov entropy with the mixing performance. Generally, the larger the Kolmogorov entropy, the faster the separation of the attractor orbits and the greater the unpredictability of the system and hence the more chaotic the system.…”

Section: Experiments and Methodsmentioning

confidence: 99%

Mixing Characteristic and High-Throughput Synthesis of Cadmium Sulfide Nanoparticles with Cubic Hexagonal Phase Junctions in a Chaotic Millireactor

Wei

Yang

et al. 2022

Langmuir

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A four-stage oscillating feedback millireactor with splitters (S-OFM) was designed to improve the mixing performance based on chaotic advection. Three-dimensional CFD simulations were used to investigate its flow characteristics and mixing performance, and the generation mechanisms of secondary flows were examined. The results show that the mixing index (MI cup ) increased with the increase in the Reynolds number (Re), and MI cup could reach 99.8% at Re = 663. Poincarémapping and Kolmogorov entropy were adopted to characterize the chaotic advection intensity, which indicates that there is a intensity increase with the increase in Re. In addition, the results of Villermaux−Dushman experiments demonstrate that S-OFM performs excellently, and the mixing time could reach 1.04 ms at Re = 2764. Finally, S-OFM was successfully used to synthesize CdS nanoparticles with cubic hexagonal phase junctions. At a flow rate of 180 mL/min, the average particle size was 10.5 nm and the particle size distribution was narrow (with a coefficient of variation of 0.14).

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Section: Experiments and Methodsmentioning

confidence: 99%

Mixing Characteristic and High-Throughput Synthesis of Cadmium Sulfide Nanoparticles with Cubic Hexagonal Phase Junctions in a Chaotic Millireactor

Wei

Yang

et al. 2022

Langmuir

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“…Furthermore, the hidden information of the observed time series could be extracted and explored by the following methods including frequency domain analysis, [17] wavelet analysis, [18] and chaos analysis. [19] Chaos, which is an important development of nonlinear time series analysis, has been widely found in biology, [20,21] medicine, [22] finance, [23] industrial, [24,25] and other research areas. [26][27][28] It has been confirmed that chaotic phenomena exist not only in the aforementioned kinds of systems, but also in various fluids mixing systems.…”

Section: Introductionmentioning

confidence: 99%

Dynamic chaos of imaging measurements for characterizing gas–liquid nonlinear flow behaviour in a metallurgical reactor stirred by top‐blown air

Yang,

Zhang,

Yang

et al. 2023

Can J Chem Eng

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A modern chaos detection strategy for imaging measurements is proposed in this work to quantify the thermal mixing state quality in a metallurgical reactor stirred by top‐blown air. Specifically, the improved C‐C algorithm is proposed to reconstruct the phase space of the nonlinear time series of the bubble characteristics under thermal conditions. Moreover, a chaos decision tree algorithm is introduced to extract the chaotic mixing characteristics of the thermal two‐phase mixing system for the first time. Experimental and calculated results show that all the possible mixing states of the mixing system are visualized by reconstructing the phase space with the help of the visualization technique of the thermal gas–liquid two‐phase flow. It is found that the attractor of the nonlinear time series of bubbles exhibited more serious variations while the chosen working condition was optimal. Furthermore, the obtained parameter represents the chaotic characteristics of the thermal gas–liquid two‐phase mixing system which has chaotic characteristics under various experimental conditions. Hence, the new strategy would be helpful and effective in beneficial exploration for understanding the nonlinear intensification mechanism of metallurgical thermal processes.

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“…The performance of the mixer is such that, by creating a perturbation in the flow, the flow path was changed and caused chaotic trajectories of fluid particles. Chaotic mixers can be categorized based on the type of perturbations caused by the flow into two main categories: (1) passive mixer (Aguirre et al, 2018, Grosso et al, 2018, Jung et al, 2018, Luan et al, 2018, Mizuno and Funakoshi, 2002, Mizuno and Funakoshi, 2004, Pacheco et al, 2006, Xu et al, 2016, which creates chaotic flow with a simple geometric perturbation and without input of energy, and (2) the active mixer (Jegatheeswaran et al, 2018, Tohidi et al, 2015, Wünsch and Böhme, 2000, which requires input energy to cause chaos in the flow.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Analysis of Chaotic Advection as an Efficient Approach to Maximize Homogeneous Laminar Mixing in a Batch Mixer

Shirmohammadi

Tohidi

2019

Braz. J. Chem. Eng.

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In the present work, the impacts of effective parameters on the mixing of Stokes flows in a chaotic batch mixer are numerically and experimentally studied. The batch mixer consists of a container and two circular rotors where the rotors can rotate independently. To investigate the possibility of improving the mixing, the effect of nonconstant speeds, contra-rotating rotors, and varying rotor speeds are studied. The results showed that varying the rotor speed while rotating in the same direction does not significantly increase mixing. However, if the rotors rotate in opposite directions, 10-times more mixing is achieved compared to the mode of rotating in the same direction. Nevertheless, given the constant speed of rotors, the flow is steady since the fluid particles have periodic movements in secondary flows, but the flow becomes chaotic and mixing is considerably increased by applying sinusoidal perturbations to the rotor speed. Nevertheless, for both modes of rotations in the same and opposite directions, the chaotic flow leads to increased mixing index in the same amount of time. Based on results, the best mixing results are achieved when the rotors rotate with sinusoidal rotational speed in opposite directions.

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Chaotic characteristics of pseudoplastic fluid induced by 6PBT impeller in a stirred vessel

Cited by 9 publications

References 18 publications

Mixing Characteristic and High-Throughput Synthesis of Cadmium Sulfide Nanoparticles with Cubic Hexagonal Phase Junctions in a Chaotic Millireactor

Mixing Characteristic and High-Throughput Synthesis of Cadmium Sulfide Nanoparticles with Cubic Hexagonal Phase Junctions in a Chaotic Millireactor

Dynamic chaos of imaging measurements for characterizing gas–liquid nonlinear flow behaviour in a metallurgical reactor stirred by top‐blown air

Experimental and Numerical Analysis of Chaotic Advection as an Efficient Approach to Maximize Homogeneous Laminar Mixing in a Batch Mixer

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