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PMID: 25170524 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Optimization of a continuous hybrid impeller mixer via computational fluid dynamics.

TheScientificWorldJournal ·Vol. 2014 ·2014-00-00 ·页码 619474

Othman N, Kamarudin SK, Takriff MS, Rosli MI, Engku Chik EM, Meor Adnan MA

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 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.

MeSH 主题词
Computer Simulation Electric Power Supplies Energy-Generating Resources Hydrodynamics
作者与单位
共 6 位作者,点击展开单位 / ORCID
Othman N
Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia ; Industrial Technology Division, Malaysian Nuclear Agency, 43000 Kajang, Selangor, Malaysia.
Kamarudin S K
Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia.
Takriff M S
Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia.
Rosli M I
Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia.
Engku Chik E M F
Industrial Technology Division, Malaysian Nuclear Agency, 43000 Kajang, Selangor, Malaysia.
Meor Adnan M A K
Industrial Technology Division, Malaysian Nuclear Agency, 43000 Kajang, Selangor, Malaysia.
Article Info
Journal
TheScientificWorldJournal
Abbr.
ScientificWorldJournal
ISSN
1537-744X
Published
2014-00-00
电子出版
2014-00-13
页码
619474
Language
English
Country/Region
United States
NLM ID
101131163
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