Using CFD simulations and statistical analysis to correlate oxygen mass transfer coefficient to both geometrical parameters and operating conditions in a stirred‐tank bioreactor. (15th March 2019)

• Record Type: Journal Article
• Authors: Amer, Momen; Feng, Yu; Ramsey, Joshua D.
• Is Part Of: Biotechnology progress. Volume 35:Number 3(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-03-15
• Subjects: computational fluid dynamics -- stirred‐tank bioreactor -- mass transfer coefficient -- mixing -- population balance model; Biotechnology -- Periodicals; Food industry and trade -- Periodicals; Bioengineering -- Periodicals; 660.6
• DOI: 10.1002/btpr.2785
• Languages: English
• ISSNs: 8756-7938

Abstract

Abstract : Optimization of a bioreactor design can be an especially challenging process. For instance, testing different bioreactor vessel geometries and different impeller and sparger types, locations, and dimensions can lead to an exceedingly large number of configurations and necessary experiments. Computational fluid dynamics (CFD), therefore, has been widely used to model multiphase flow in stirred‐tank bioreactors to minimize the number of optimization experiments. In this study, a multiphase CFD model with population balance equations are used to model gas–liquid mixing, as well as gas bubble distribution, in a 50 L single‐use bioreactor vessel. The vessel is the larger chamber in an early prototype of a multichamber bioreactor for mammalian cell culture. The model results are validated with oxygen mass transfer coefficient ( k L a ) measurements within the prototype. The validated model is projected to predict the effect of using ring or pipe spargers of different sizes and the effect of varying the impeller diameter on k L a . The simulations show that ring spargers result in a superior k L a compared to pipe spargers, with an optimum sparger‐to‐impeller diameter ratio of 0.8. In addition, larger impellers are shown to improve k L a . A correlation of k L a is presented as a function of both the reactor geometry (i.e., sparger‐to‐impeller diameter ratio and impeller‐to‐vessel diameter ratio) and operating conditions (i.e., Reynolds number and gas flow rate). The resulting correlation can be used to predict k L a in a bioreactor and to optimize its design, geometry, and operating conditions.