Hydrodynamics and residence time distribution of liquid flow in tubular reactors equipped with screen-type static mixers

2015 ◽  
Vol 279 ◽  
pp. 948-963 ◽  
Author(s):  
K. Abou Hweij ◽  
F. Azizi
2008 ◽  
Vol 47 (12) ◽  
pp. 2275-2280 ◽  
Author(s):  
Tirupati Reddy Keshav ◽  
P. Somaraju ◽  
K. Kalyan ◽  
A.K. Saroha ◽  
K.D.P. Nigam

2014 ◽  
Vol 235 ◽  
pp. 356-367 ◽  
Author(s):  
Xudong Feng ◽  
Darrell Alec Patterson ◽  
Murat Balaban ◽  
Emma Anna Carolina Emanuelsson

2019 ◽  
Author(s):  
Marcus Reis ◽  
Travis Varner ◽  
Frank Leibfarth

<p>Continuous-flow chemistry is emerging as an enabling technology for the synthesis of precise polymers. Despite recent advances in this rapidly growing field, there remains a need for a fundamental understanding of how fluid dynamics in tubular reactors influence polymerizations. Herein, we report a comprehensive study of how laminar flow influences polymer structure and composition. Tracer experiments coupled with in-line UV-vis spectroscopy demonstrate how viscosity, tubing diameter, and reaction time affect the residence time distribution (RTD) of fluid in reactor geometries relevant for continuous-flow polymerizations. We found that the breadth of the RTD has strong, statistical correlations with reaction conversion, polymer molar mass, and dispersity for polymerizations conducted in continuous flow. These correlations were demonstrated to be general to a variety of different reaction conditions, monomers, and polymerization mechanisms. Additionally, these findings inspired the design of a droplet flow reactor that minimizes the RTD in continuous-flow polymerizations and enables the continuous production of well-defined polymer at a rate of 1.4 kg/day. </p>


2016 ◽  
Vol 18 (1) ◽  
pp. 23 ◽  
Author(s):  
Rajamanickam Akila ◽  
Kumar Balu

<p>A regression model for simulating residence time distribution (RTD) of turbulent flows in helical static mixers is proposed and developed to predict the residence time distribution in static mixers. An efficient method is required to estimate the RTD and the sole means of achieving this is through detailed regression model. The RTD was calculated numerically by regression model. The results of the regression model, i.e. predicted RTD is presented in terms of different volumetric flow rate to illustrate the complicated flow patterns that drive the mixing process in helical static mixers. The regression model is found to fit the experimental RTD with a high degree of correlation.</p><p>Chemical Engineering Research Bulletin 18(2015) 23-29</p>


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