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Modeling and Optimization of Gelcast Ceramic Composites: MODELING OF GELCASTING CERAMIC COMPOSITES USING GP AND MULTI OBJECTIVE OPTIMIZATION USING NSGA-II - Brossura

 
9786203926408: Modeling and Optimization of Gelcast Ceramic Composites: MODELING OF GELCASTING CERAMIC COMPOSITES USING GP AND MULTI OBJECTIVE OPTIMIZATION USING NSGA-II

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The gelcasting technology is the use of an organic monomer solution that can be polymerized to form a strong, cross linked polymer solvent gel. The gelcasting process involves the preparation of aqueous slurry of ceramic powder, which contains small quantities of monomer, cross-linker, gel initiators, catalysts, sintering aids, and other additives. The proposed integrated approach consists of two parts. In the first part, Genetic Programming (GP) has to apply for modeling the non linear relations between input manufacturing variables and the important performance measures of the process. In the second part, the developed models were used as objective functions and multi objective optimization has to perform using the non- dominated sorting genetic algorithms-II (NSGA-II).

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Gurabvaiah Punugupati
ISBN 10: 620392640X ISBN 13: 9786203926408
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The gelcasting technology is the use of an organic monomer solution that can be polymerized to form a strong, cross linked polymer solvent gel. The gelcasting process involves the preparation of aqueous slurry of ceramic powder, which contains small quantities of monomer, cross-linker, gel initiators, catalysts, sintering aids, and other additives. The proposed integrated approach consists of two parts. In the first part, Genetic Programming (GP) has to apply for modeling the non linear relations between input manufacturing variables and the important performance measures of the process. In the second part, the developed models were used as objective functions and multi objective optimization has to perform using the non- dominated sorting genetic algorithms-II (NSGA-II). 92 pp. Englisch. Codice articolo 9786203926408

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Gurabvaiah Punugupati|C. S. P Rao|Veeresh Kumar
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Punugupati GurabvaiahDr. Punugupati Gurabvaiah had completed M Tech and PhD from National Institute of Technology Warangal. Major Interested areas includes Process optimization, Ceramics fabrication, Laser Assisted Machining, Fabrica. Codice articolo 490542096

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Gurabvaiah Punugupati
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Taschenbuch. Condizione: Neu. Neuware -The gelcasting technology is the use of an organic monomer solution that can be polymerized to form a strong, cross linked polymer solvent gel. The gelcasting process involves the preparation of aqueous slurry of ceramic powder, which contains small quantities of monomer, cross-linker, gel initiators, catalysts, sintering aids, and other additives. The proposed integrated approach consists of two parts. In the first part, Genetic Programming (GP) has to apply for modeling the non linear relations between input manufacturing variables and the important performance measures of the process. In the second part, the developed models were used as objective functions and multi objective optimization has to perform using the non- dominated sorting genetic algorithms-II (NSGA-II).Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Codice articolo 9786203926408

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Gurabvaiah Punugupati
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The gelcasting technology is the use of an organic monomer solution that can be polymerized to form a strong, cross linked polymer solvent gel. The gelcasting process involves the preparation of aqueous slurry of ceramic powder, which contains small quantities of monomer, cross-linker, gel initiators, catalysts, sintering aids, and other additives. The proposed integrated approach consists of two parts. In the first part, Genetic Programming (GP) has to apply for modeling the non linear relations between input manufacturing variables and the important performance measures of the process. In the second part, the developed models were used as objective functions and multi objective optimization has to perform using the non- dominated sorting genetic algorithms-II (NSGA-II). Codice articolo 9786203926408

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