Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid Dynamics
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...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/619474 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832546597313970176 |
|---|---|
| author | N. Othman S. K. Kamarudin M. S. Takriff M. I. Rosli E. M. F. Engku Chik M. A. K. Meor Adnan |
| author_facet | N. Othman S. K. Kamarudin M. S. Takriff M. I. Rosli E. M. F. Engku Chik M. A. K. Meor Adnan |
| author_sort | N. Othman |
| collection | DOAJ |
| description | 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 k-ε 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. |
| format | Article |
| id | doaj-art-4e9c0de358a64bab99ce0dba454fe754 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-4e9c0de358a64bab99ce0dba454fe7542025-02-03T06:47:54ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/619474619474Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid DynamicsN. Othman0S. K. Kamarudin1M. S. Takriff2M. I. Rosli3E. M. F. Engku Chik4M. A. K. Meor Adnan5Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, MalaysiaDepartment of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, MalaysiaDepartment of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, MalaysiaDepartment of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, MalaysiaIndustrial Technology Division, Malaysian Nuclear Agency, 43000 Kajang, Selangor, MalaysiaIndustrial Technology Division, Malaysian Nuclear Agency, 43000 Kajang, Selangor, MalaysiaThis 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 k-ε 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.http://dx.doi.org/10.1155/2014/619474 |
| spellingShingle | N. Othman S. K. Kamarudin M. S. Takriff M. I. Rosli E. M. F. Engku Chik M. A. K. Meor Adnan Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid Dynamics The Scientific World Journal |
| title | Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid Dynamics |
| title_full | Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid Dynamics |
| title_fullStr | Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid Dynamics |
| title_full_unstemmed | Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid Dynamics |
| title_short | Optimization of a Continuous Hybrid Impeller Mixer via Computational Fluid Dynamics |
| title_sort | optimization of a continuous hybrid impeller mixer via computational fluid dynamics |
| url | http://dx.doi.org/10.1155/2014/619474 |
| work_keys_str_mv | AT nothman optimizationofacontinuoushybridimpellermixerviacomputationalfluiddynamics AT skkamarudin optimizationofacontinuoushybridimpellermixerviacomputationalfluiddynamics AT mstakriff optimizationofacontinuoushybridimpellermixerviacomputationalfluiddynamics AT mirosli optimizationofacontinuoushybridimpellermixerviacomputationalfluiddynamics AT emfengkuchik optimizationofacontinuoushybridimpellermixerviacomputationalfluiddynamics AT makmeoradnan optimizationofacontinuoushybridimpellermixerviacomputationalfluiddynamics |