Tanks in Series Model for Continuous Stirred Tank Electrochemical Reactor

2008 ◽  
Vol 47 (9) ◽  
pp. 2976-2984 ◽  
Author(s):  
R. Saravanathamizhan ◽  
R. Paranthaman ◽  
N. Balasubramanian ◽  
C. Ahmed Basha
Keyword(s):  
Electrochemical Reactor ◽  
Stirred Tank ◽  
In Series ◽  
Continuous Stirred Tank

scholarly journals Design and Simulation of Hierarchical Control of Two Continuous Stirred Tank Heater in Series

2016 ◽  
Vol 9 (21) ◽  
Author(s):  
Normah Abdullah ◽  
Ramin Razmi ◽  
Tan Chung Chuan ◽  
Zulkifli Mohd Nopiah ◽  
Azah Mohamed ◽  
...  
Keyword(s):  
Hierarchical Control ◽  
Stirred Tank ◽  
In Series ◽  
Continuous Stirred Tank

scholarly journals Simulation of continuous stirred tank reactor (CSTR) for polypropylene production

2020 ◽  
Vol 5 (2) ◽  
pp. 014-023
Author(s):  
Kekpugile Kenneth Dagde ◽  
Gunorubon Jackson Akpa ◽  
Obarijimah Osaroworlu ◽  
Olalekan Michael Adeloye
Keyword(s):  
Stirred Tank ◽  
Polymerization Process ◽  
Continuous Stirred Tank Reactor ◽  
Stirred Tank Reactor ◽  
Tank Reactor ◽  
Natta Catalyst ◽  
In Series ◽  
Continuous Stirred Tank ◽  
Model Equations ◽  
Fourth Order Method

This research study predicted the conversion and yield pattern for the polymerization of propylene to polypropylene. The polymerization process was performed using propylene as the monomer and ethylene as the co-monomer in a four continuous stirred tank reactor (CSTR) connected in series with a Ziegler-Natta catalyst. Model equations were developed for polypropylene polymerisation by applying the principle of conservation of mass in tandem with the rate equation. The resulting model equation was solved numerically using the Runge-Kutta fourth order method and a MATLAB program was written to implement the numerical techniques. The deduced model results depicted the conversion of propylene from the first reactor to the fourth reactor (0.9900 to 0.0113) and increase in polypropylene production as the reaction proceeds from the first reactor to the fourth reactor (0.0000 to 0.9878) showing the conversion and yield pattern of the process. The simulated model results were compared with literature data with a percentage deviation for polypropylene and propylene of 2.2% and 3.8% respectively.

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