loading page

Characterization of the Gas Dispersion Behavior of Multiple Impeller Stages by Flow Regime Analysis and CFD Simulations
  • +3
  • Sören Bernauer,
  • Mathias Schöpf,
  • Philipp Eibl,
  • Christian Witz,
  • Johannes Khinast,
  • Timo Hardiman
Sören Bernauer
Sandoz GmbH
Author Profile
Mathias Schöpf
Sandoz GmbH
Author Profile
Philipp Eibl
Technische Universität Graz
Author Profile
Christian Witz
Technische Universität Graz
Author Profile
Johannes Khinast
Technische Universität Graz
Author Profile
Timo Hardiman
Sandoz GmbH
Author Profile

Abstract

Multiple impeller reactors are widely used due to their advanced gas utilization and an increased volumetric mass transfer coefficient. However, with the application of Rushton impellers, gas dispersion efficiency varies between the bottom and the upper impeller levels. The present study analyzes the individual flow regime, power input and gas hold-up in each compartment of a reactor equipped with four Rushton impellers. The results indicate that the pre-dispersion of the air introduced by the bottom impeller plays a key role in a better gas retention efficiency of the upper impellers. In contrast, a flooded bottom impeller adversely affects the gas dispersion of all impellers. A novel analysis of the bubble flow in the dispersed state via a two-phase CFD model reveals that a more homogenous distribution of air bubbles in the upper compartments leads to high compartment gas hold-up values, but fewer bubbles in the vicinity of the impellers. The measured and simulated data of this study indicate that the upper impellers' efficiency mostly depends on the flow regime of and the pre-dispersion by the bottom impeller rather than on the upper impellers' flow regimes. These results contribute to the understanding of essential mixing processes and scaling of aerated bioreactors.

Peer review status:Published

28 Jun 2020Submitted to Biotechnology and Bioengineering
29 Jun 2020Submission Checks Completed
29 Jun 2020Assigned to Editor
18 Jul 2020Reviewer(s) Assigned
29 Aug 2020Review(s) Completed, Editorial Evaluation Pending
29 Aug 2020Editorial Decision: Revise Major
27 Oct 20201st Revision Received
11 Dec 2020Assigned to Editor
11 Dec 2020Submission Checks Completed
11 Dec 2020Reviewer(s) Assigned
23 Dec 2020Review(s) Completed, Editorial Evaluation Pending
23 Dec 2020Editorial Decision: Revise Major
17 Feb 20212nd Revision Received
17 Feb 2021Submission Checks Completed
17 Feb 2021Assigned to Editor
19 Feb 2021Reviewer(s) Assigned
09 Apr 2021Review(s) Completed, Editorial Evaluation Pending
09 Apr 2021Editorial Decision: Revise Major
28 Apr 20213rd Revision Received
29 Apr 2021Submission Checks Completed
29 Apr 2021Assigned to Editor
04 May 2021Review(s) Completed, Editorial Evaluation Pending
04 May 2021Editorial Decision: Accept
Aug 2021Published in Biotechnology and Bioengineering volume 118 issue 8 on pages 3058-3068. 10.1002/bit.27815