The strength of any material is dependent on the grain size and percentage of volume fraction recrystallization. In this book, a new approach for controlling micro structure development during hot working process is explained. Here two different methods are employed. One of the approaches is based on the Optimal Control theory and involves the developing of state space models to describe the material behavior and the mechanics of the process. The standard Arrehenious equation of 0.3% carbon steel is utilized to obtain an optimal deformation path such that the grain size should be 26 micrometer and percentage of volume fraction recrystallization should be 1. The plant model is developed and an appropriate optimality criterion is selected to maintain strain, strain rate and temperature. The state-space model together with an optimality criterion is used to control the grain size and percentage of volume fraction recrystallization using LQR method. In the other approach, FLC is employed. The simulation is done on various values for grain size and percentage of volume fraction recrystallization using both the controllers by MATLAB. FLC controller provides better performance than LQR.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The strength of any material is dependent on the grain size and percentage of volume fraction recrystallization. In this book, a new approach for controlling micro structure development during hot working process is explained. Here two different methods are employed. One of the approaches is based on the Optimal Control theory and involves the developing of state space models to describe the material behavior and the mechanics of the process. The standard Arrehenious equation of 0.3% carbon steel is utilized to obtain an optimal deformation path such that the grain size should be 26 micrometer and percentage of volume fraction recrystallization should be 1. The plant model is developed and an appropriate optimality criterion is selected to maintain strain, strain rate and temperature. The state-space model together with an optimality criterion is used to control the grain size and percentage of volume fraction recrystallization using LQR method. In the other approach, FLC is employed. The simulation is done on various values for grain size and percentage of volume fraction recrystallization using both the controllers by MATLAB. FLC controller provides better performance than LQR. 56 pp. Englisch. Seller Inventory # 9786139923861
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ramakrishnan SumathiDr. R. Sumathi received the PhD in the area of Control Theory from the Anna University Chennai. She is working as a Professor in EEE Department at Sri Krishna College of Engineering and Technology, Coimbatore. She. Seller Inventory # 251554387
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The strength of any material is dependent on the grain size and percentage of volume fraction recrystallization. In this book, a new approach for controlling micro structure development during hot working process is explained. Here two different methods are employed. One of the approaches is based on the Optimal Control theory and involves the developing of state space models to describe the material behavior and the mechanics of the process. The standard Arrehenious equation of 0.3% carbon steel is utilized to obtain an optimal deformation path such that the grain size should be 26 micrometer and percentage of volume fraction recrystallization should be 1. The plant model is developed and an appropriate optimality criterion is selected to maintain strain, strain rate and temperature. The state-space model together with an optimality criterion is used to control the grain size and percentage of volume fraction recrystallization using LQR method. In the other approach, FLC is employed. The simulation is done on various values for grain size and percentage of volume fraction recrystallization using both the controllers by MATLAB. FLC controller provides better performance than LQR.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9786139923861
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The strength of any material is dependent on the grain size and percentage of volume fraction recrystallization. In this book, a new approach for controlling micro structure development during hot working process is explained. Here two different methods are employed. One of the approaches is based on the Optimal Control theory and involves the developing of state space models to describe the material behavior and the mechanics of the process. The standard Arrehenious equation of 0.3% carbon steel is utilized to obtain an optimal deformation path such that the grain size should be 26 micrometer and percentage of volume fraction recrystallization should be 1. The plant model is developed and an appropriate optimality criterion is selected to maintain strain, strain rate and temperature. The state-space model together with an optimality criterion is used to control the grain size and percentage of volume fraction recrystallization using LQR method. In the other approach, FLC is employed. The simulation is done on various values for grain size and percentage of volume fraction recrystallization using both the controllers by MATLAB. FLC controller provides better performance than LQR. Seller Inventory # 9786139923861
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Micro Structure Development | Sumathi Ramakrishnan (u. a.) | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139923861 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 114902290
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