9786203926408 - modeling and optimization of gelcast ceramic composites: modeling of gelcasting ceramic composites using gp and multi objective optimization using nsga-ii di punugupati, gurabvaiah; rao, c. s. p; kumar, veeresh (5 risultati)
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Modeling and Optimization of Gelcast Ceramic Composites | MODELING OF GELCASTING CERAMIC COMPOSITES USING GP AND MULTI OBJECTIVE OPTIMIZATION USING NSGA-II | Gurabvaiah Punugupati (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203926408 | Verantwortliche Person f…ür die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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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, wh…ich 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.
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Da: moluna, Greven, Germaniamoluna
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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, L…aser Assisted Machining, Fabrica.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 55,56
EUR 60,78 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
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 c…ontains 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).
