Othman, N. and Kamarudin, S. K. and Takriff, M. S. and Rosli, M. I. and Chik, E. M. F. Engku and Adnan, M. A. K. Meor (2021) Investigation on Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid Dynamics. In: New Ideas Concerning Science and Technology Vol. 9. B P International, pp. 72-81. ISBN 978-93-90768-51-6
Full text not available from this repository.Abstract
This paper presents the preliminary steps required for conducting experiments to obtain the optimal operating conditions of a hybrid impeller mixer and to determine the residence time distribution (RTD) using computational fluid dynamics (CFD). In this paper, impeller speed and clearance parameters are examined. The hybrid impeller mixer consists of a single Rushton turbine mounted above a single pitched blade turbine (PBT). Four impeller speeds, 50, 100, 150, and 200 rpm, and four impeller clearances, 25, 50, 75, and 100 mm, were the operation variables used in this study. CFD was utilized to initially screen the parameter ranges to reduce the number of actual experiments needed. Afterward, the residence time distribution (RTD) was determined using the respective parameters. Finally, the Fluent-predicted RTD and the experimentally measured RTD were compared. The CFD investigations revealed that an impeller speed of 50 rpm and an impeller clearance of 25 mm were not viable for experimental investigations and were thus eliminated from further analyses. The determination of RTD using a ????-???? turbulence model was performed using CFD techniques. The multiple reference frame (MRF) was implemented and a steady state was initially achieved followed by a transient condition for RTD determination. This study showed that the optimum conditions for mixing operations in a hybrid impellerare100 rpm and 50 mm for impeller speed and clearance height, respectively, which resulted in an RTD curve with a strong, sharp peak.
Item Type: | Book Section |
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Subjects: | Apsci Archives > Multidisciplinary |
Depositing User: | Unnamed user with email support@apsciarchives.com |
Date Deposited: | 15 Nov 2023 07:26 |
Last Modified: | 15 Nov 2023 07:26 |
URI: | http://eprints.go2submission.com/id/eprint/2020 |