CFD-accelerated bioreactor optimization: reducing the hydrodynamic parameter space

Yao, Yinuo; Fringer, Oliver B.; Criddle, Craig S.

doi:10.1039/d1ew00666e

Cited by 6 publications

(4 citation statements)

References 51 publications

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“…It can be associated with some experimental optimization methods, such as response surface methodology (RSM) [31,32], proper orthogonal decomposition (POD) [33], etc., to optimize different HC processes. With cavitation flow, as a typical multiphase flow problem, when using CFD for HC numerical simulations, cavitation models, turbulence closures, and multiphase modeling approaches are needed [34]. Therefore, selecting a reliable method for modeling cavitation should be essential.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of Hydrodynamic Cavitation Pretreatment of Food Waste: Effect of Pressure Drop on the Cavitation Behavior

Zhou,

Zhong,

Zhu

2024

Processes

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Hydrodynamic cavitation (HC) has a wide range of application scenarios. However, there are few studies on the HC treatment of food waste (FW). A Venturi device is designed and operated and plays a clear role in changing the characteristics of FW. The medium viscosity is often neglected when studying cavitation behavior by numerical simulations. We use the Herschel–Bulkley model to describe the viscosity curves of artificial FW samples obtained experimentally. RANS numerical simulation is carried out with a simplified 2D axisymmetric CFD-based model considering the non-Newtonian fluid properties. A numerical simulation study is carried out for FW (TS = 10.0 wt%) at pressure drop (ΔP = 0.05–0.4 MPa). The numerical simulation results show the variation of flow characteristics, viscosity, vapor volume, turbulent viscosity ratio, cavitation number, and pressure loss coefficient. With the increase in ΔP, the flow rate in the Venturi throat increases, and the average viscosity decreases. It reduces the inhibition effect of viscosity on cavitation. The position of incipient vacuoles at the moment of cavitation is constant and unrelated to the variation of ΔP. Under the effect of increasing ΔP, the average vapor volume fraction is increased, and the cavitation effect is enhanced; the cavitation number (σ) is decreased, and the cavitation potential is improved. A larger ΔP should be selected to increase the cavitation efficiency E of the device.

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Section: Introductionmentioning

confidence: 99%

Numerical Study of Hydrodynamic Cavitation Pretreatment of Food Waste: Effect of Pressure Drop on the Cavitation Behavior

Zhou,

Zhong,

Zhu

2024

Processes

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“…A number of techniques are known to be applicable to the study of gas-liquid jets due to their wide application in technical and biotechnical problems [17]. Recently, various studies have relied on the computational fluid dynamics (CFD) modeling of hydrodynamic processes in bioreactors [13,[18][19][20][21][22][23][24]. The mathematical description of multiphase flows is complicated in many aspects due to the peculiarities associated with the mutual influence of continuous and dispersed phases.…”

Section: Introductionmentioning

confidence: 99%

“…The mathematical description of multiphase flows is complicated in many aspects due to the peculiarities associated with the mutual influence of continuous and dispersed phases. Therefore, the bubble flow [13,[25][26][27], annular flow [28], and more complex flows [21,23,29] have received a new wave of study. Important mass transfer characteristics of the process are studied in [12,19,23,30].…”

Section: Introductionmentioning

confidence: 99%

Computer Vision Algorithm for Characterization of a Turbulent Gas–Liquid Jet

Starodumov,

Sokolov,

Mikushin

et al. 2024

Inventions

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A computer vision algorithm to determine the parameters of a two-phase turbulent jet of a water-gas mixture traveling at a velocity in the range of 5–10 m/s was developed in order to evaluate the hydrodynamic efficiency of mass exchange apparatuses in real time, as well as to predict the gas exchange rate. The algorithm is based on threshold segmentation, the active contours method, the regression of principal components method, and the comparison of feature overlays, which allows the stable determination of jet boundaries and is a more efficient method when working with low-quality data than traditional implementations of the Canny method. Based on high-speed video recordings of jets, the proposed algorithm allows the calculation of key characteristics of jets: the velocity, angle of incidence, structural density, etc. Both the algorithm’s description and a test application based on video recordings of a real jet created on an experimental prototype of a jet bioreactor are discussed. The results are compared with computational fluid dynamics modeling and theoretical predictions, and good agreement is demonstrated. The presented algorithm itself represents the basis for a real-time control system for aerator operation in jet bioreactors, as well as being used in laboratory jet stream installations for the accumulation of big data on the structure and dynamic properties of jets.

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“…Despite the impressive recent development of the practice of applying modern numerical and computational methods to hydrodynamic flow analysis [1][2][3][4][5][6][7][8][9], as well as machine learning methods [10][11][12][13] for modeling, analyzing, and evaluating the performance parameters of various engineering solutions in the field of fermentation [14,15], a number of questions remain as an open challenge for the scientific community [16][17][18]. Among them lies a fair assessment of fermenters' performance indicators [19][20][21] for the case of the large-scale transition from laboratory to industrial solutions.…”

Section: Introductionmentioning

confidence: 99%

Measurement of Mass Transfer Intensity in Gas–Liquid Medium of Bioreactor Circuit Using the Thermometry Method

Starodumov

Nizovtseva

Lezhnin

et al. 2022

Fluids

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The development of energy-efficient solutions for large-scale fermenters demands a deep and comprehensive understanding of hydrodynamic and heat and mass transfer processes. Despite a wide variety of research dedicated to measurements of mass transfer intensity in bubble flows, this research subject faces new challenges due to the topical development of new innovative bioreactor designs. In order to understand the fluid dynamics of the gas–liquid medium, researchers need to develop verified CFD models describing flows in the bioreactor loop using a progressive physical and mathematical apparatus. In the current paper, we represent the results of evaluating the key performance indicator of the bioreactor, namely the volumetric mass transfer coefficient (kLa) known as a parameter of dominant importance for the design, operation, scale-up, and optimization of bioreactors, using the developed thermometry method. The thermometry method under consideration was examined within a series of experiments, and a comparative analysis was provided for a number of various regimes also being matched with the classical approaches. The methodology, experiment results, and data verification are given, which allow the evaluation of the effectiveness and prediction of the fluid flows dynamics in bioreactors circuits and ultimately the operational capabilities of the fermenter line.

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CFD-accelerated bioreactor optimization: reducing the hydrodynamic parameter space

Abstract: Optimization of bioreactor design can be experimentally challenging because of the complex interactions between hydrodynamic and biological processes. A promising prototyping strategy is the use of computational fluid dynamic (CFD)...

Cited by 6 publications

References 51 publications

Numerical Study of Hydrodynamic Cavitation Pretreatment of Food Waste: Effect of Pressure Drop on the Cavitation Behavior

Numerical Study of Hydrodynamic Cavitation Pretreatment of Food Waste: Effect of Pressure Drop on the Cavitation Behavior

Computer Vision Algorithm for Characterization of a Turbulent Gas–Liquid Jet

Measurement of Mass Transfer Intensity in Gas–Liquid Medium of Bioreactor Circuit Using the Thermometry Method

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