Sequential Bifurcations in Continuous Stirred Tank Chemical Reactors Coupled in Series

1985 ◽  
Vol 45 (6) ◽  
pp. 895-918 ◽  
Author(s):  
Gerhard Dangelmayr ◽  
Ian Stewart
2008 ◽  
Vol 47 (9) ◽  
pp. 2976-2984 ◽  
Author(s):  
R. Saravanathamizhan ◽  
R. Paranthaman ◽  
N. Balasubramanian ◽  
C. Ahmed Basha

2016 ◽  
Vol 9 (21) ◽  
Author(s):  
Normah Abdullah ◽  
Ramin Razmi ◽  
Tan Chung Chuan ◽  
Zulkifli Mohd Nopiah ◽  
Azah Mohamed ◽  
...  

2007 ◽  
Vol 03 (03) ◽  
pp. 385-398 ◽  
Author(s):  
A. REGALADO MÉNDEZ ◽  
J. ÁLVAREZ-RAMÍREZ

This work studies loop control composition in continuous chemical reactors with simple structures, due to its large acceptance in chemical industry. A linear cascade composition control (master/slave) is proposed, designed with basic control structures based on Laplace tools. Two configurations are designed, which were evaluated in a dynamic model of continuous stirred tank. From a stability analysis it is noted that, for such configurations, system assent time is 7 to 8 times reduced if compared to the assent time without loop control. Besides, the system shows a good performance when coming to the asked reference. Implementation of such control configurations can solve the problem of loop control composition.


2020 ◽  
Vol 5 (2) ◽  
pp. 014-023
Author(s):  
Kekpugile Kenneth Dagde ◽  
Gunorubon Jackson Akpa ◽  
Obarijimah Osaroworlu ◽  
Olalekan Michael Adeloye

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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