University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Meta-model based calibration and sensitivity studies of CFD simulation of jet pumps

Kajero, OT, Thorpe, Rex, Yao, Y, Wong, DSH and Chen, Tao (2017) Meta-model based calibration and sensitivity studies of CFD simulation of jet pumps Chemical Engineering & Technology, 40 (9). pp. 1674-1684.

[img] Text
Kriging_CFD_Jet_Pump_REV1_v4.docx - Accepted version Manuscript
Restricted to Repository staff only until 17 July 2018.

Download (2MB)


Calibration and sensitivity studies in the computational fluid dynamics (CFD) simulation of process equipment such as the annular jet pump are useful for design, analysis and optimisation. The use of CFD for such purposes is computationally intensive. Hence, in this study, an alternative approach using kriging-based meta-models was utilised. Calibration via the adjustment of two turbulent model parameters, C_μ and C_2ε, and likewise two parameters in the simulation correlation for C_μ was considered; while sensitivity studies were based on C_μ as input. The meta-model based calibration aids exploration of different parameter combinations. Computational time was also reduced with kriging-assisted sensitivity studies which explored effect of different C_μ values on pressure distribution.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
Kajero, OT
Yao, Y
Wong, DSH
Date : 17 June 2017
Identification Number : 10.1002/ceat.201600477
Copyright Disclaimer : This is the peer reviewed version of the following article: Kajero, O. T., Thorpe, R. B., Yao, Y., Wong, D. S. H. and Chen, T. 2017, Meta-model based calibration and sensitivity studies of CFD simulation of jet pumps. Chem. Eng. Technol.. Accepted Author Manuscript. doi:10.1002/ceat.201600477, which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Uncontrolled Keywords : Annular jet pump, calibration, computational fluid dynamics, kriging meta-model, sensitivity analysis.
Additional Information : Special Issue: Particle and Powder Technology: PARTEC 2016
Depositing User : Melanie Hughes
Date Deposited : 23 May 2017 18:02
Last Modified : 13 Mar 2018 09:20

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800