Continuous stirred tank reactor is a typical chemical reactor with complex non linear dynamic characteristics. There has been considerable interest in its state estimation and real time control based on mathematical modeling. However, the lack of understanding of the dynamics of the process, the highly sensitive and non linear behavior of the reactor, has made it difficult to develop the precise mathematical modeling of the system. Efficient control of the product concentration in CSTR can be achieved only through accurate model. Here attempts are made to ease the modeling difficulties using AI techniques such as Fuzzy logic. Simulation results demonstrate the effectiveness of Fuzzy logic control technique. The system is a stirred tank reactor with two flows of liquid enter the system and another flow exits the tank with the formation of product. Simulink was employed to design a model for this system in the simulation environment. This work is aimed for utilization by researchers, industrialists’ and students. Furthermore it will be especially relevant and useful for the students of Electrical Engg. and Chemical Engg. for carrying out research in the area of simulation of CSTR.
"synopsis" may belong to another edition of this title.
S.V.A.R.Sastry is with Dept.of Chemical Engineering, MVGR College of Engineering, Vizianagaram from past 7 years. He did M.Tech from IIT-Delhi and B.Tech from NIT-Jalandhar. He has 8 papers in Int.peer reviewed journals and 60 papers in Int. confs. A reviewer for 8 Int.journals from US and Europe, he has authored three books which are widely read.
"About this title" may belong to another edition of this title.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Continuous stirred tank reactor is a typical chemical reactor with complex non linear dynamic characteristics. There has been considerable interest in its state estimation and real time control based on mathematical modeling. However, the lack of understanding of the dynamics of the process, the highly sensitive and non linear behavior of the reactor, has made it difficult to develop the precise mathematical modeling of the system. Efficient control of the product concentration in CSTR can be achieved only through accurate model. Here attempts are made to ease the modeling difficulties using AI techniques such as Fuzzy logic. Simulation results demonstrate the effectiveness of Fuzzy logic control technique. The system is a stirred tank reactor with two flows of liquid enter the system and another flow exits the tank with the formation of product. Simulink was employed to design a model for this system in the simulation environment. This work is aimed for utilization by researchers, industrialists and students. Furthermore it will be especially relevant and useful for the students of Electrical Engg. and Chemical Engg. for carrying out research in the area of simulation of CSTR. Seller Inventory # 9783659264283
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sastry Susarla Venkata Ananta RamaS.V.A.R.Sastry is with Dept.of Chemical Engineering, MVGR College of Engineering, Vizianagaram from past 7 years. He did M.Tech from IIT-Delhi and B.Tech from NIT-Jalandhar. He has 8 papers in Int.pe. Seller Inventory # 5144149
Quantity: Over 20 available
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock. Seller Inventory # __3659264288
Quantity: 1 available
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Fuzzy logic control of Continuous Stirred Tank Reactor (CSTR) | Simulation | Susarla Venkata Ananta Rama Sastry (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659264283 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106220825