4.7 Article

Impeller shape-optimization of stirred-tank reactor: CFD and fluid structure interaction analyses

期刊

CHEMICAL ENGINEERING JOURNAL
卷 413, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2020.127497

关键词

Multi-objective optimization; Computational fluid dynamics (CFD); Power consumption; Stirred-tank reactor

资金

  1. Iranian National Science Foundation (INSF) [97017109]
  2. Natural Sciences and Engineering Research Council of Canada [RGPIN20160471]

向作者/读者索取更多资源

This study investigates the importance of mixing in the chemical industry and proposes a computational framework for optimizing power consumption and impeller stress in stirred-tank reactors. By using Computational Fluid Dynamic (CFD) analysis, the study examines three types of impellers and utilizes Multi-objective Genetic Algorithm (MOGA) to optimize the geometrical parameters of the blades. The results show a decrease in power consumption with V- and U-shape impellers compared to the 6-blade Rushton turbine, and indicate differences in turbulent kinetic energy and stress distribution among different impeller designs.
Mixing is an important operation in the chemical industry. The present numerical study, validated by experimental data, offers a computational framework for minimizing the stirred-tank reactor power consumption and the impeller equivalent stress. The flow pattern, turbulence parameters, and power consumption of the three types of impellers, named as 6-blade Rushton turbine and U-shape and V-shape impeller designs, are numerically studied using the Computational Fluid Dynamic (CFD) analysis. The interaction between the fluid and the solid is then studied through a two-way Fluid Structural/Solid Interaction (FSI) analysis. Multi-objective Genetic Algorithm (MOGA) is used along with both Direct Optimization (DO) and Response Surface Optimization (RSO) to optimize the blade?s geometrical parameters, including blade thickness (Tb), disk thickness (TD), and vertical angle of the blade (?). The variation between experimental and numerical results, in terms of power consumption, is around 5%. The computational results show that the power number (Np) can decrease, respectively by 21% and 48%, for the V- and U-shape impellers compared to the 6-blade Rushton turbine. The maximum turbulent kinetic energy and the maximum dissipation rate of the turbulent kinetic energy of the U-shape (k = 0.065 m2/s2, ? = 65.14 m2/s3) are more than V-shape impeller (k = 0.044 m2/s2, ? = 25.16 m2/s3). The FSI results also show that the lowest von Mises stress occurs in the V-shape impeller.

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