Liquid–liquid mixing enhancement rules by microbubbles in three typical micro-mixers

Lin, Xiyan; Wang, K.; Zhang, Jisong; Luo, Guangsheng

doi:10.1016/j.ces.2015.01.014

Cited by 24 publications

(20 citation statements)

References 29 publications

(35 reference statements)

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“…In recent years, a lot of chemical reactions have been enhanced in yield, selectivity and conversion by microreactors, such as the partial oxidation of DME for production of hydrogen, Claisen rearrangement and Sonogashira coupling, the sulfuric acid‐catalyzed Beckmann rearrangement of cyclohexanone oxime, and so on. However, the working system with high viscous fluid and extreme flow rate ratio is still a challenge for the development of microreactor today for the very weak mixing performance in microchannel device . So far as we known, the cross‐junction mixer is a rarely reported device fitting for this kind of working system .…”

Section: Introductionmentioning

confidence: 99%

Synthesizing bromobutyl rubber by a microreactor system

Xie

Wang

et al. 2016

AIChE Journal

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Bromobutyl rubber (BIIR) is an important synthetic rubber with better vulcanizing behavior than traditional butyl rubber (IIR). It is hard to synthesize for the high reactant viscosity and strong corrosion caused by Br2 and HBr. A microreactor platform was developed to solve the corrosion problem with cheap materials and obtain high quality BIIR based on microscaled mixing. The results showed that low reaction temperature and quickly eliminating HBr from the reacting solution were crucial to obtain high selectivity of demanded molecule structure and prevent polymer from decomposition. Owing to the corrosion resistance ability, a water assistant technology was successfully implemented in the microreactor system, which produced high quality BIIR with almost 100% selectivity and less reduced molecule weight. © 2016 American Institute of Chemical Engineers AIChE J, 63: 1002–1009, 2017

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Section: Introductionmentioning

confidence: 99%

Synthesizing bromobutyl rubber by a microreactor system

Xie

Wang

et al. 2016

AIChE Journal

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“…The most intuitive definition is by segregation index, which is based on the ratio of raw material consumed by the desired product to the total raw materials injected. This method was widely adopted in previous work [2,56,57], where the influence of feeding rate was not investigated. However, adopting segregation index as an objective function in this work could lead to trivial solutions, due to the fact that feeding rate usually contributes monotonically to product ratio.…”

Section: Problem Formulationmentioning

confidence: 99%

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

et al. 2018

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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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“…The viscosities of the aqueous solutions for both fluids to be mixed were kept at 0.86 mPa s. As in our previous work [33], the Villermaux-Dushman reactions were adopted. Their detailed concentrations of reagents including the other parallel competitive reactions are given in the Supporting Information, Tabs.…”

Section: Materials and Equipmentmentioning

confidence: 99%

“…A widely used type of micromixer, the T-junction microchannel, was employed for both reaction systems as introduced in our previous work [33]. The width and depth of the straight main channels were 600 μm and 400 μm.…”

Section: Materials and Equipmentmentioning

confidence: 99%

Determination of the Micromixing Scale in a Microdevice by Numerical Simulation and Experiments

et al. 2016

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A micromixing scale is proposed to characterize the micromixing performance of microdevices. It is defined to be the smallest scale within which homogenization is realized only by molecular diffusion, indicating the homogeneous mixing ability of a certain microdevice under specific operating conditions. An approach that integrates numerical simulation with experimental measurement was developed to establish the correlation between micromixing scale and segregation index. The Villermaux-Dushman reaction was conducted in a T-junction micromixer to determine its micromixing scales. The validity and reliability of this new approach is demonstrated by employing another parallel competing reaction based on both the simulation results and the experimental data.

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Liquid–liquid mixing enhancement rules by microbubbles in three typical micro-mixers

Cited by 24 publications

References 29 publications

Synthesizing bromobutyl rubber by a microreactor system

Synthesizing bromobutyl rubber by a microreactor system

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

Determination of the Micromixing Scale in a Microdevice by Numerical Simulation and Experiments

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