Investigation on Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid Dynamics

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Investigation on Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid Dynamics

March 11, 2021 Science and Technology 0

The preliminary steps for conducting experiments to achieve the optimum operating conditions of a hybrid impeller mixer and determine the residence time distribution (RTD) using computational fluid dynamics are presented in this paper (CFD). The impeller speed and clearance parameters are investigated in this article. A single Rushton turbine is mounted above a single pitched blade turbine in the hybrid impeller mixer (PBT). The process variables in this analysis were impeller speeds of 50, 100, 150, and 200 rpm and impeller clearances of 25, 50, 75, and 100 mm. To minimise the number of actual experiments needed, CFD was used to screen the parameter ranges first. Following that, the residence time distribution (RTD) was calculated using the parameters. Finally, the experimentally tested RTD was compared to the Fluent-predicted RTD. The CFD investigations revealed that a 50 rpm impeller speed and a 25 mm impeller clearance were not feasible for experimental investigations and were therefore ruled out of further consideration. CFD techniques were used to determine RTD using a k-turbulence model. A steady state was reached first, followed by a transient condition for RTD determination, using the multiple reference frame (MRF). The optimum conditions for mixing operations in a hybrid impeller, according to this report, are 100 rpm and 50 mm for impeller speed and clearance height, respectively, resulting in a high, sharp peak on the RTD curve.

Author (s) Details

Dr. N. Othman
Industrial Technology Division, Malaysian Nuclear Agency, 43000 Kajang, Selangor, Malaysia.

S. K. Kamarudin
Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia.

M. S. Takriff
Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia.

M. I. Rosli
Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia.

E. M. F. Engku Chik
Industrial Technology Division, Malaysian Nuclear Agency, 43000 Kajang, Selangor, Malaysia.

M. A. K. Meor Adnan
Industrial Technology Division, Malaysian Nuclear Agency, 43000 Kajang, Selangor, Malaysia.

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