Synopsis
A numerical model for simulating residence time distribution of turbulent flows in helical static mixers is proposed and developed to improve the understanding of static mixers. The predicted RTD is presented in terms of different volumetric flow rate to illustrate the complicated flow patterns that drive the mixing process in helical static mixers. The computed results are also used to predict the amount of mixing that occurs within a mixing device. Such theoretical estimates need, however, always to be thoroughly checked against observations in Static mixer. The experimental unit is an annulus in which helical elements are brazed on the outer surface of inner tube. The helical elements are arranged alternatively in right and left-handed format. RTD studies were performed by injecting a pulse and the response at the outlet was measured. To check the reliability and the quality of the theoretically estimated RTD from the simulation by the application of the model equation, a comparison of the same with those obtained from observed data using statistical characteristics is done. Comparison between RTD curves shows that motionless mixture can improve the performance of reactor.
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Design and Development of a Stochastic 2D Model for Static Mixer
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A numerical model for simulating residence time distribution of turbulent flows in helical static mixers is proposed and developed to improve the understanding of static mixers. The predicted RTD is presented in terms of different volumetric flow rate to illustrate the complicated flow patterns that drive the mixing process in helical static mixers. The computed results are also used to predict the amount of mixing that occurs within a mixing device. Such theoretical estimates need, however, always to be thoroughly checked against observations in Static mixer. The experimental unit is an annulus in which helical elements are brazed on the outer surface of inner tube. The helical elements are arranged alternatively in right and left-handed format. RTD studies were performed by injecting a pulse and the response at the outlet was measured. To check the reliability and the quality of the theoretically estimated RTD from the simulation by the application of the model equation, a comparison of the same with those obtained from observed data using statistical characteristics is done. Comparison between RTD curves shows that motionless mixture can improve the performance of reactor. 128 pp. Englisch. Seller Inventory # 9783639662214
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Design and Development of a Stochastic 2D Model for Static.
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Design and Development of a Stochastic 2D Model for Static Mixer
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Akila R.Dr. Akila Rajamanickam was born in Madurai, Tamilnadu, India, in 1981.She received the B.Sc. degree in Mathematics, in 2000, the M.Sc., and M.Phil., degrees in Mathematics, in 2003 and 2006 respectively and the Ph.D., in Math. Seller Inventory # 4996521
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Design and Development of a Stochastic 2D Model for Static Mixer
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ISBN 10: 3639662210
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A numerical model for simulating residence time distribution of turbulent flows in helical static mixers is proposed and developed to improve the understanding of static mixers. The predicted RTD is presented in terms of different volumetric flow rate to illustrate the complicated flow patterns that drive the mixing process in helical static mixers. The computed results are also used to predict the amount of mixing that occurs within a mixing device. Such theoretical estimates need, however, always to be thoroughly checked against observations in Static mixer. The experimental unit is an annulus in which helical elements are brazed on the outer surface of inner tube. The helical elements are arranged alternatively in right and left-handed format. RTD studies were performed by injecting a pulse and the response at the outlet was measured. To check the reliability and the quality of the theoretically estimated RTD from the simulation by the application of the model equation, a comparison of the same with those obtained from observed data using statistical characteristics is done. Comparison between RTD curves shows that motionless mixture can improve the performance of reactor.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. Seller Inventory # 9783639662214
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Design and Development of a Stochastic 2D Model for Static Mixer
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A numerical model for simulating residence time distribution of turbulent flows in helical static mixers is proposed and developed to improve the understanding of static mixers. The predicted RTD is presented in terms of different volumetric flow rate to illustrate the complicated flow patterns that drive the mixing process in helical static mixers. The computed results are also used to predict the amount of mixing that occurs within a mixing device. Such theoretical estimates need, however, always to be thoroughly checked against observations in Static mixer. The experimental unit is an annulus in which helical elements are brazed on the outer surface of inner tube. The helical elements are arranged alternatively in right and left-handed format. RTD studies were performed by injecting a pulse and the response at the outlet was measured. To check the reliability and the quality of the theoretically estimated RTD from the simulation by the application of the model equation, a comparison of the same with those obtained from observed data using statistical characteristics is done. Comparison between RTD curves shows that motionless mixture can improve the performance of reactor. Seller Inventory # 9783639662214
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Design and Development of a Stochastic 2D Model for Static Mixer
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Taschenbuch. Condition: Neu. Design and Development of a Stochastic 2D Model for Static Mixer | R. Akila (u. a.) | Taschenbuch | 128 S. | Englisch | 2014 | Scholars' Press | EAN 9783639662214 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 105119648
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