Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation

Hanspal, Navraj; DeVincentis, Brian; Thomas, John A.

doi:10.1002/elsc.202200020

Cited by 6 publications

(7 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a workaround, this study introduces the critical Weber number We crit , i.e., a critical ratio of fluid inertia versus surface tension, as a pivotal threshold value for starting bubble breakage. This dimensional criterion for bubble breakup, as used in EL contexts, has been documented in several recent investigations [15,17,[21][22][23].…”

Section: Introductionmentioning

confidence: 90%

Transferring Bubble Breakage Models Tailored for Euler-Euler Approaches to Euler-Lagrange Simulations

Mast

2023

Processes

View full text Add to dashboard Cite

Most bubble breakage models have been developed for multiphase simulations using Euler-Euler (EE) approaches. Commonly, they are linked with population balance models (PBM) and are validated by making use of Reynolds-averaged Navier-Stokes (RANS) turbulence models. The latter, however, may be replaced by alternate approaches such as Large Eddy simulations (LES) that play a pivotal role in current developments based on lattice Boltzmann (LBM) technologies. Consequently, this study investigates the possibility of transferring promising bubble breakage models from the EE framework into Euler-Lagrange (EL) settings aiming to perform LES. Using our own model, it was possible to reproduce similar bubble size distributions (BSDs) for EL and EE simulations. Therefore, the critical Weber (Wecrit) number served as a threshold value for the occurrence of bubble breakage events. Wecrit depended on the bubble daughter size distribution (DSD) and a set minimum time between two consecutive bubble breakage events. The commercial frameworks Ansys Fluent and M-Star were applied for EE and EL simulations, respectively. The latter enabled the implementation of LES, i.e., the use of a turbulence model with non-time averaged entities. By properly choosing Wecrit, it was possible to successfully transfer two commonly applied bubble breakage models from EE to EL. Based on the mechanism of bubble breakage, Wecrit values of 7 and 11 were determined, respectively. Optimum Wecrit were identified as fitting the shape of DSDs, as this turned out to be a key criterion for reaching optimum prediction quality. Optimum Wecrit values hold true for commonly applied operational conditions in aerated bioreactors, considering water as the matrix.

show abstract

Section: Introductionmentioning

confidence: 90%

Transferring Bubble Breakage Models Tailored for Euler-Euler Approaches to Euler-Lagrange Simulations

Mast

2023

Processes

View full text Add to dashboard Cite

show abstract

“…The residual concentration of dissolved oxygen in the apparatus media should be ca. 0.5-0.7 mg l −1 , After verifying the necessary settings including the position of the valve on the pressure pipe of the liquid phase circulation and the mode of the circulation pump, samples are taken from the sampler on the pressure pipe of the liquid phase circulation after the pump (see (2) in figure 1) into the numbered containers with a sealed lid (150-250 ml at 2 s intervals, four samples at intervals of 60 s, 80 s, 100 s, 120 s, 16 samples in total); the obtained samples are measured by the dissolved oxygen concentration in the liquid by a direct method using a Mettler Toledo dissolved oxygen sensor with average response time of 30 s. For each experiment performed a high-speed video camera was recording the situation in the vessel through the observation window.…”

Section: Procedures and Prescriptionmentioning

confidence: 99%

“…During recent decades a number of problems associated with changing the structural parameters of a multiphase flow has attracted attention both from the point of fundamental natural science and when performing specific applied research e.g. modeling of mass transfer processes in liquid-gas apparatus [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…jet stream bioreactors [5], the specific interfacial surface area a is influenced by the surface tension σ, which affects both size and stability characteristics of gas bubbles: the greater value of σ is, the larger and more stable bubbles are reducing the interfacial surface area. In case of a high pressure gradient, when the formation of the flow bubble structure is influenced by the shock wave, the characteristic diameter of the bubble can be estimated by [9] D ≈ 2π σ/ρ l U 2 (1)…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of the gas–liquid non-equilibrium media structure on the mass transfer dynamics in biophysical processes

Nizovtseva,

Starodumov,

Lezhnin

et al. 2023

Smart Mater. Struct.

View full text Add to dashboard Cite

Multiphase biophysical media are known to be complex structures with continuous high demand to the scientific community for understanding the relationships and ratios between factors affecting the type, dynamics and nature of its structural changes on their impact degree on the media itself. Among the plentiful list of such factors the following do worth mentioning: the lifetime of a particle, turbulence factors and a number of others, each requiring careful analysis, assessment of the contribution degree and, importantly, correct accounting. The present study is focused on such a factor affecting mass transfer intensity change as surface tension through its relationship with the interfacial area: the latter is the site of mass exchange between the gas and liquid phases, and modifications in surface tension values can significantly impact the characteristics of this area, hence altering the rate of mass transfer. By controlling surface tension, one can effectively modulate the size and stability of particles, namely bubbles or droplets, which in turn changes the interfacial area available for mass transfer. The total interfacial area, which is the cumulative surface area of all bubbles, serves as the site for mass transfer. The impact of the surface tension coefficient variation into gas–liquid mass transfer characteristics is analyzed both for the case of water and model liquid. The latter means the potential contribution of surface-active substances was a part of research scope since it was applied to recreate conditions similar to the cultural liquid when microorganisms that produce surfactants are grown. The proposed new methodology assumes calculating interfacial area through the segmentation of images captured by a high-speed camera, thus we can gain a profoundly enhanced understanding of the relationship between surface tension and mass transfer. The precise visual data and subsequent computation of the interfacial area provide deeper insights into the dynamics of bubble formation and the effects of surface tension on bubble size and distribution. As a result, this method has significantly improved our capacity to investigate and optimize mass transfer processes in multiphase biophysical systems. Both analytical approach and results interpretation not only influence affirmatively on deep understanding of natural mechanisms in biophysical media, but also might serve their best for potential application, e.g. in the context of the development of biotechnological industries based on fermentation processes for protein production.

show abstract

“…GPU‐native algorithms, such as the lattice–Boltzmann (LB) method for modeling fluid flow and bounding volume hierarchy (BVH) methods for tracking bubble collisions, present a multiple order‐of‐magnitude runtime improvement over CPU‐based approaches (Hanspal et al, 2022; Haringa, 2022). As such, rather than calculating a snapshot of the flow field, LB‐based models on GPUs can be used to practically simulate hours of multiphase process mechanics (Hanspal et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

CFD‐based bioreactor model with proportional–integral–derivative controller functionality for dissolved oxygen and pH

Oliveira,

Pace,

Thomas

et al. 2023

Biotech & Bioengineering

View full text Add to dashboard Cite

A physics‐based model for predicting cell culture fluid properties inside a stirred tank bioreactor with embedded PID controller logic is presented. The model evokes a time‐accurate solution to the fluid velocity field and overall volumetric mass transfer coefficient, as well as the ongoing effects of interfacial mass transfer, species mixing, and aqueous chemical reactions. The modeled system also includes a direct coupling between process variables and system control variables via embedded controller logic. Satisfactory agreement is realized between the model prediction and measured bioreactor data in terms of the steady‐state operating conditions and the response to setpoint changes. Simulation runtimes are suitable for industrial research and design timescales.

show abstract

Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation

Cited by 6 publications

References 51 publications

Transferring Bubble Breakage Models Tailored for Euler-Euler Approaches to Euler-Lagrange Simulations

Transferring Bubble Breakage Models Tailored for Euler-Euler Approaches to Euler-Lagrange Simulations

Influence of the gas–liquid non-equilibrium media structure on the mass transfer dynamics in biophysical processes

CFD‐based bioreactor model with proportional–integral–derivative controller functionality for dissolved oxygen and pH

Contact Info

Product

Resources

About