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Tang X, Qiu F, Li H, Zhang Q, Quan X, Tao C, Wang Y, Liu Z. Investigation of the Intensified Chaotic Mixing and Flow Structures Evolution Mechanism in Stirred Reactor with Torsional Rigid-Flexible Impeller. Ind Eng Chem Res 2023. [DOI: 10.1021/acs.iecr.2c03512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Xiaoyu Tang
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing400044, China
| | - Facheng Qiu
- School of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing400054, China
| | - Hong Li
- Graduate School, Chongqing University, Chongqing400044, China
| | - Qian Zhang
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing400044, China
| | - Xuejun Quan
- School of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing400054, China
| | - Changyuan Tao
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing400044, China
| | - Yundong Wang
- Department of Chemical Engineering, Tsinghua University, Beijing100084, China
| | - Zuohua Liu
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing400044, China
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2
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Sirasitthichoke C, Hoang D, Phalak P, Armenante PM, Barnoon BI, Shandil I. Computational prediction of blend time in a large-scale viral inactivation process for monoclonal antibodies biomanufacturing. Biotechnol Bioeng 2023; 120:169-183. [PMID: 36224707 DOI: 10.1002/bit.28264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 09/26/2022] [Accepted: 10/09/2022] [Indexed: 11/08/2022]
Abstract
Viral inactivation (VI) is a process widely used across the pharmaceutical industry to eliminate the cytotoxicity resulting from trace levels of viruses introduced by adventitious agents. This process requires adding Triton X-100, a non-ionic detergent solution, to the protein solution and allowing sufficient time for this agent to inactivate the viruses. Differences in process parameters associated with vessel designs, aeration rate, and many other physical attributes can introduce variability in the process, thus making predicting the required blending time to achieve the desired homogeneity of Triton X-100 more critical and complex. In this study we utilized a CFD model based on the lattice Boltzmann method (LBM) to predict the blend time to homogenize a Triton X-100 solution added during a typical full-scale commercial VI process in a vessel equipped with an HE-3-impeller for different modalities of the Triton X-100 addition (batch vs. continuous). Although direct experimental progress of the blending process was not possible because of GMP restrictions, the degree of homogeneity measured at the end of the process confirmed that Triton X-100 was appropriately dispersed, as required, and as computationally predicted here. The results obtained in this study were used to support actual production at the biomanufacturing site.
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Affiliation(s)
- Chadakarn Sirasitthichoke
- Department of Manufacturing Science and Technology, Bristol Myers Squibb Company, Devens, Massachusetts, USA.,Otto H. York Department of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
| | - Duc Hoang
- Department of Manufacturing Science and Technology, Bristol Myers Squibb Company, Devens, Massachusetts, USA.,Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, Massachusetts, USA
| | - Poonam Phalak
- Department of Manufacturing Science and Technology, Bristol Myers Squibb Company, Devens, Massachusetts, USA
| | - Piero M Armenante
- Otto H. York Department of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
| | - Barak I Barnoon
- Department of Manufacturing Science and Technology, Bristol Myers Squibb Company, Devens, Massachusetts, USA
| | - Ishaan Shandil
- Department of Manufacturing Science and Technology, Bristol Myers Squibb Company, Devens, Massachusetts, USA
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3
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Yao H, Tang J, Liu Z, Tao C, Wang Y. Chaotic Mixing Intensification and Flow Field Evolution Mechanism in a Stirred Reactor Using a Dual-Shaft Eccentric Impeller. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Hong Yao
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, PR China
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, PR China
| | - Jinjing Tang
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, PR China
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, PR China
| | - Zuohua Liu
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, PR China
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, PR China
| | - Changyuan Tao
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, PR China
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, PR China
| | - Yundong Wang
- Department of Chemical Engineering, Tsinghua University, Beijing 100084, PR China
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4
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Abou-Hweij W, Azizi F. Hydrodynamics of wall-bounded turbulent flows through screens: a numerical study. CHEM ENG COMMUN 2022. [DOI: 10.1080/00986445.2022.2084391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- W. Abou-Hweij
- M. Semaan Faculty of Engineering and Architecture, B.&W. Bassatne Department of Chemical Engineering and Advanced Energy, American University of Beirut, Beirut, Lebanon
| | - F. Azizi
- M. Semaan Faculty of Engineering and Architecture, B.&W. Bassatne Department of Chemical Engineering and Advanced Energy, American University of Beirut, Beirut, Lebanon
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5
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Numerical Study and Geometric Investigation of the Influence of Rectangular Baffles over the Mixture of Turbulent Flows into Stirred Tanks. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12104827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The present work aims to define strategies for numerical simulation of the mixture of turbulent flows in a stirred tank with a low computational effort, and to investigate the influence of the geometry of four rectangular baffles on the problem of performance. Two computational models based on momentum source and sliding mesh are validated by comparison with experimental results from the literature. For both models, the time-averaged conservation equations of mass, momentum and transport of the mixture are solved using the finite volume method (FVM) (FLUENT® v.14.5). The standard k–ε model is used for closure of turbulence. Concerning the geometrical investigation, constructal design is employed to define the search space, degrees of freedom and performance indicators of the problem. More precisely, seven configurations with different width/length (L/B) ratios for the rectangular baffles are studied and compared with an unbaffled case. The momentum source model leads to valid results and significantly reduces the computational effort in comparison with the sliding mesh model. Concerning the design, the results indicate that the case without baffles creates the highest magnitude of turbulence kinetic energy, but poorly distributes it along the domain. The best configuration, (L/B)o = 1.0, leads to a mixture performance nearly two times superior than the case without baffles.
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6
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Haringa C, Tang W, Noorman HJ. Stochastic parcel tracking in an Euler-Lagrange compartment model for fast simulation of fermentation processes. Biotechnol Bioeng 2022; 119:1849-1860. [PMID: 35352339 PMCID: PMC9321588 DOI: 10.1002/bit.28094] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 02/02/2022] [Indexed: 11/23/2022]
Abstract
The compartment model (CM) is a well‐known approach for computationally affordable, spatially resolved hydrodynamic modeling of unit operations. Recent implementations use flow profiles based on Computational Fluid Dynamics (CFD) simulations, and several authors included microbial kinetics to simulate gradients in bioreactors. However, these studies relied on black‐box kinetics that do not account for intracellular changes and cell population dynamics in response to heterogeneous environments. In this paper, we report the implementation of a Lagrangian reaction model, where the microbial phase is tracked as a set of biomass‐parcels, each linked with an intracellular composition vector and a structured reaction model describing their intracellular response to extracellular variations. A stochastic parcel tracking approach is adopted, in contrast to the resolved trajectories used in CFD implementations. A penicillin production process is used as a case study. We show good performance of the model compared with full CFD simulations, both regarding the extracellular gradients and intracellular pool response, using the mixing time as a matching criterion and taking into account that the mixing time is sensitive to the number of compartments. The sensitivity of the model output towards some of the inputs is explored. The coarsest representative CM requires a few minutes to solve 80 h of flow time, compared with approximately 2 weeks for a full Euler–Lagrange CFD simulation of the same case. This alleviates one of the major bottlenecks for the application of such CFD simulations towards the analysis and optimization of industrial fermentation processes.
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Affiliation(s)
- Cees Haringa
- Biotechnology Department, Bioprocess EngineeringDelft University of TechnologyDelftThe Netherlands
| | - Wenjun Tang
- Biotechnology Department, Bioprocess EngineeringDelft University of TechnologyDelftThe Netherlands
- Department of Biotechnology, Bioprocess Engineering group, Faculty of Applied Sciences, Delft University of TechnologyRoyal DSMDelftThe Netherlands
| | - Henk J. Noorman
- Biotechnology Department, Bioprocess EngineeringDelft University of TechnologyDelftThe Netherlands
- Department of Biotechnology, Bioprocess Engineering group, Faculty of Applied Sciences, Delft University of TechnologyRoyal DSMDelftThe Netherlands
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7
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Haringa C. An analysis of organism lifelines in an industrial bioreactor using Lattice-Boltzmann CFD. Eng Life Sci 2022; 23:e2100159. [PMID: 36619885 PMCID: PMC9815090 DOI: 10.1002/elsc.202100159] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 02/03/2022] [Accepted: 02/24/2022] [Indexed: 01/11/2023] Open
Abstract
Euler-Lagrange CFD simulations, where the biotic phase is represented by computational particles (parcels), provide information on environmental gradients inside bioreactors from the microbial perspective. Such information is highly relevant for reactor scale-down and process optimization. One of the major challenges is the computational intensity of CFD simulations, especially when resolution of dynamics in the flowfield is required. Lattice-Boltzmann large-eddy simulations (LB-LES) form a very promising approach for simulating accurate, dynamic flowfields in stirred reactors, at strongly reduced computation times compared to finite volume approaches. In this work, the performance of LB-LES in resolving substrate gradients in large-scale bioreactors is explored, combined with the inclusion of a Lagrangian biotic phase to provide the microbial perspective. In addition, the hydrodynamic performance of the simulations is confirmed by verification of hydrodynamic characteristics (radial velocity, turbulent kinetic energy, energy dissipation) in the impeller discharge stream of a 29 cm diameter stirred tank. The results are compared with prior finite volume simulation results, both in terms of hydrodynamic and biokinetic observations, and time requirements.
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Affiliation(s)
- Cees Haringa
- Bioprocess EngineeringBiotechnology DepartmentDelft University of TechnologyDelftthe Netherlands
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8
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Vivek V, Eka FN, Chew W. Mixing studies in an unbaffled bioreactor using a computational model corroborated with in-situ Raman and imaging analyses. CHEMICAL ENGINEERING JOURNAL ADVANCES 2022. [DOI: 10.1016/j.ceja.2021.100232] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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9
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Photocatalytic degradation of tetracycline in a stirred tank: computational fluid dynamic modeling and data validation. REACTION KINETICS MECHANISMS AND CATALYSIS 2021. [DOI: 10.1007/s11144-021-02062-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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10
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Wang L, Wang M, Tian Y, Qi Y, Gao Y. Experimental and simulation study on mixing time and suspension quality of liquid-solid flow field in stirred reactor with draft tube. INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING 2021. [DOI: 10.1515/ijcre-2021-0151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
The solid-liquid flow field is established in the stirred reactor with baffles and draft tube. Mixing time and suspension quality of the flow field are studied. Based on the Eulerian multiphase flow model and RNG k−ε turbulence model, the CFD model is established for the simulation research. By comparing the experimental data of solid concentration distribution and mixing time with the simulated values, it is proved that the CFD model established can be used to study the flow field in the stirred reactor. The effects of stirring speed, liquid viscosity and solid particle size on mixing time and suspension quality are considered. With the increase of stirring speed, mixing time decreases, mixing uniformity is improved. Mixing time decreases first, then increases slightly with the increase of liquid viscosity, and the suspension quality is improved. When the solid particle size increases, mixing time increases rapidly, but the mixing uniformity becomes worse.
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Affiliation(s)
- Licheng Wang
- School of Chemistry and Chemical Engineering, Tianjin University of Technology , Tianjin , 300384 , China
| | - Mengya Wang
- School of Chemistry and Chemical Engineering, Tianjin University of Technology , Tianjin , 300384 , China
| | - Yanxing Tian
- School of Chemistry and Chemical Engineering, Tianjin University of Technology , Tianjin , 300384 , China
| | - Yu Qi
- School of Chemistry and Chemical Engineering, Tianjin University of Technology , Tianjin , 300384 , China
| | - Yiwei Gao
- School of Chemistry and Chemical Engineering, Tianjin University of Technology , Tianjin , 300384 , China
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11
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Cheng D, Sheibat‐Othman N, McKenna TFL. Modelling study of emulsion latex coagulation processes in coagulators. CAN J CHEM ENG 2020. [DOI: 10.1002/cjce.23851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Dang Cheng
- Université Claude Bernard Lyon 1, CPE Lyon, CNRS, UMR 5265, Laboratoire de Chimie, Catalyse, Polymères et Procédés (C2P2)‐LCPP group Villeurbanne France
| | - Nida Sheibat‐Othman
- University of Lyon, Université Claude Bernard Lyon 1, CNRS, LAGEPP UMR 5007 Villeurbanne France
| | - Timothy F. L. McKenna
- Université Claude Bernard Lyon 1, CPE Lyon, CNRS, UMR 5265, Laboratoire de Chimie, Catalyse, Polymères et Procédés (C2P2)‐LCPP group Villeurbanne France
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12
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Hanspal N, Chai N, Allen B, Brown D. Applying multiple approaches to deepen understanding of mixing and mass transfer in large-scale aerobic fermentations. J Ind Microbiol Biotechnol 2020; 47:929-946. [PMID: 32894378 DOI: 10.1007/s10295-020-02307-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 08/27/2020] [Indexed: 12/12/2022]
Abstract
Different methods are used at Corteva® Agriscience to improve our understanding of mixing in large-scale mechanically agitated fermentors. These include (a) use of classical empirical correlations, (b) use of small-scale models, and (c) computational fluid dynamics (CFD). Each of these approaches has its own inherent strengths and limitations. Classic empirical or semi-empirical correlations can provide insights into mass transfer, blending, shear, and other important factors but are dependent on the geometry and condition used to develop the correlations. Laboratory-scale modelling can be very useful to study mixing and model the effect of heterogeneity on the culture, but success is highly dependent on the methodology applied. CFD provides an effective means to accelerate the exploration of alternative design strategies through physics-based computer simulations that may not be adequately described by existing knowledge or correlations. However, considerable time and effort is needed to build and validate these models. In this paper, we review the various approaches used at Corteva Agriscience to deepen our understanding of mixing in large-scale fermentation processes.
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Affiliation(s)
- Navraj Hanspal
- Corteva ® Agriscience, 3100 James Savage Rd, Midland, MI, 48642, USA
| | - Ning Chai
- Corteva Agriscience, 901 Loveridge Rd, Pittsburg, CA, 94565, USA
| | - Billy Allen
- Bioprocess Mixing Solutions, LLC, 6228 Deerwood Ct, Greenwood, IN, USA
| | - Dale Brown
- Corteva Agriscience, 9330 Zionsville Rd, Indianapolis, IN, USA.
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13
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Ramírez-Cruz J, Salinas-Vázquez M, Ascanio G, Vicente-Rodríguez W, Lagarza-Córtes C. Mixing dynamics in an uncovered unbaffled stirred tank using Large-Eddy Simulations and a passive scalar transport equation. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115658] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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14
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Simultaneous measurements of liquid velocity and tracer concentration in a continuous flow stirred tank. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115495] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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15
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He Y, Bayly AE, Hassanpour A, Fairweather M, Muller F. Flow behaviour of an agitated tubular reactor using a novel dynamic mesh based CFD model. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2019.115333] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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16
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Numerical simulation and experimental investigation of multiphase mass transfer process for industrial applications in China. REV CHEM ENG 2019. [DOI: 10.1515/revce-2017-0050] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
This paper presents a comprehensive review of the remarkable achievements by Chinese scientists and engineers who have contributed to the multiscale process design, with emphasis on the transport mechanisms in stirred reactors, extractors, and rectification columns. After a brief review of the classical theory of transport phenomena, this paper summarizes the domestic developments regarding the relevant experiments and numerical techniques for the interphase mass transfer on the drop/bubble scale and the micromixing in the single-phase or multiphase stirred tanks in China. To improve the design and scale-up of liquid-liquid extraction columns, new measurement techniques with the combination of both particle image velocimetry and computational fluid dynamics have been developed and advanced modeling methods have been used to determine the axial mixing and mass transfer performance in extraction columns. Detailed investigations on the mass transfer process in distillation columns are also summarized. The numerical and experimental approaches modeling transport phenomena at the vicinity of the vapor-liquid interface, the point efficiency for trays/packings regarding the mixing behavior of fluids, and the computational mass transfer approach for the simulation of distillation columns are thoroughly analyzed. Recent industrial applications of mathematical models, numerical simulation, and experimental methods for the design and analysis of multiphase stirred reactors/crystallizers, extractors, and distillation columns are seen to garnish economic benefits. The current problems and future prospects are pinpointed at last.
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17
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Sharma KV, Straka R, Tavares FW. Lattice Boltzmann Methods for Industrial Applications. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b02008] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Keerti Vardhan Sharma
- Escola de Química, Federal University of Rio de Janeiro, CEP: 21949-900, Rio de Janeiro, Brazil
- PEQ/COPPE, Federal University of Rio de Janeiro, CEP: 24210-240, Rio de Janeiro, Brazil
| | - Robert Straka
- Department of Heat Engineering and Environment Protection, Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland
| | - Frederico Wanderley Tavares
- Escola de Química, Federal University of Rio de Janeiro, CEP: 21949-900, Rio de Janeiro, Brazil
- PEQ/COPPE, Federal University of Rio de Janeiro, CEP: 24210-240, Rio de Janeiro, Brazil
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18
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Vikash, Kumar V. Turbulent statistics of flow fields using large eddy simulations in batch high shear mixers. Chem Eng Res Des 2019. [DOI: 10.1016/j.cherd.2019.05.045] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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19
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de Lamotte A, Delafosse A, Calvo S, Toye D. Identifying dominant spatial and time characteristics of flow dynamics within free-surface baffled stirred-tanks from CFD simulations. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.07.024] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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20
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Haringa C, Mudde RF, Noorman HJ. From industrial fermentor to CFD-guided downscaling: what have we learned? Biochem Eng J 2018. [DOI: 10.1016/j.bej.2018.09.001] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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21
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Inter-compartment interaction in multi-impeller mixing: Part I. Experiments and multiple reference frame CFD. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.06.005] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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22
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Haringa C, Vandewijer R, Mudde RF. Inter-compartment interaction in multi-impeller mixing. Part II. Experiments, sliding mesh and large Eddy simulations. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.06.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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23
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24
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25
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de Lamotte A, Delafosse A, Calvo S, Delvigne F, Toye D. Investigating the effects of hydrodynamics and mixing on mass transfer through the free-surface in stirred tank bioreactors. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2017.06.028] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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26
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CFD investigation of Schizochytrium sp. impeller configurations on cell growth and docosahexaenoic acid synthesis. Bioprocess Biosyst Eng 2016; 39:1297-304. [DOI: 10.1007/s00449-016-1608-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2016] [Accepted: 04/09/2016] [Indexed: 10/21/2022]
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27
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Montante G, Coroneo M, Paglianti A. Blending of miscible liquids with different densities and viscosities in static mixers. Chem Eng Sci 2016. [DOI: 10.1016/j.ces.2015.11.009] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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28
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Ben-Nun R, Sheintuch M, Kysela B, Konfršt J, Fořt I. Semianalytical characterization of turbulence from radial impellers, with experimental and numerical validation. AIChE J 2015. [DOI: 10.1002/aic.14723] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Ronen Ben-Nun
- Dept. of Chemical Engineering; Technion - Israel Institute of Technology; Haifa Israel 3200003
| | - Moshe Sheintuch
- Dept. of Chemical Engineering; Technion - Israel Institute of Technology; Haifa Israel 3200003
| | - Bohuš Kysela
- Institute of Hydrodynamics AS CR, v. v. i.; Prague Czech Republic
| | - Jiří Konfršt
- Institute of Hydrodynamics AS CR, v. v. i.; Prague Czech Republic
| | - Ivan Fořt
- Dept. of Process Engineering, Faculty of Mechanical Engineering; Czech Technical University in Prague; Prague Czech Republic
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29
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Derksen J, Reynolds G, Crampton A, Huang Z, Booth J. Simulations of dissolution of spherical particles in laminar shear flow. Chem Eng Res Des 2015. [DOI: 10.1016/j.cherd.2014.06.027] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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30
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Derksen JJ. Simulations of solid-liquid scalar transfer for a spherical particle in laminar and turbulent flow. AIChE J 2014. [DOI: 10.1002/aic.14384] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- J. J. Derksen
- School of Engineering; University of Aberdeen; Aberdeen Scotland AB24 3UE U.K
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31
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Affiliation(s)
- J. J. Derksen
- School of Engineering; University of Aberdeen; Aberdeen AB24 3UE U.K
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32
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Bracciale MP, Broggi A, Cerbelli S, Formisano M, Santarelli ML, Scarsella M, Marrocchi A. The impact of chaotic advection on the microstructure of polymer-modified bitumen. AIChE J 2014. [DOI: 10.1002/aic.14361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Maria P. Bracciale
- Dipartimento di Ingegneria Chimica Materiali Ambiente; Sapienza Università di Roma Via Eudossiana 18; 00184 Rome Italy
| | - Alessandra Broggi
- Dipartimento di Ingegneria Chimica Materiali Ambiente; Sapienza Università di Roma Via Eudossiana 18; 00184 Rome Italy
| | - Stefano Cerbelli
- Dipartimento di Ingegneria Chimica Materiali Ambiente; Sapienza Università di Roma Via Eudossiana 18; 00184 Rome Italy
| | - Marco Formisano
- Dipartimento di Ingegneria Chimica Materiali Ambiente; Sapienza Università di Roma Via Eudossiana 18; 00184 Rome Italy
| | - Maria L. Santarelli
- Dipartimento di Ingegneria Chimica Materiali Ambiente; Sapienza Università di Roma Via Eudossiana 18; 00184 Rome Italy
| | - Marco Scarsella
- Dipartimento di Ingegneria Chimica Materiali Ambiente; Sapienza Università di Roma Via Eudossiana 18; 00184 Rome Italy
| | - Assunta Marrocchi
- Dipartimento di Chimica; Università di Perugia; Via Elce di Sotto 8 06123 Perugia Italy
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Yang FL, Zhou SJ, Zhang CX, Evans GM, Wang GC. STUDY OF THE TURBULENT FLOW IN AN UNBAFFLED STIRRED TANK BY DETACHED EDDY SIMULATION. CHEM ENG COMMUN 2013. [DOI: 10.1080/00986445.2012.746674] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Magelli F, Montante G, Pinelli D, Paglianti A. Mixing time in high aspect ratio vessels stirred with multiple impellers. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.07.022] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Soos M, Kaufmann R, Winteler R, Kroupa M, Lüthi B. Determination of maximum turbulent energy dissipation rate generated by a rushton impeller through large eddy simulation. AIChE J 2013. [DOI: 10.1002/aic.14206] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Miroslav Soos
- Institute for Chemical and Bioengineering; Dept. of Chemistry and Applied Biosciences; ETH Zurich 8093 Zurich Switzerland
| | - René Kaufmann
- Institute of Environmental Engineering; ETH Zurich CH 8093 Zurich Switzerland
| | - Raphael Winteler
- Institute of Environmental Engineering; ETH Zurich CH 8093 Zurich Switzerland
| | - Martin Kroupa
- Institute for Chemical and Bioengineering; Dept. of Chemistry and Applied Biosciences; ETH Zurich 8093 Zurich Switzerland
| | - Beat Lüthi
- Institute of Environmental Engineering; ETH Zurich CH 8093 Zurich Switzerland
- photrack AG; Am Wasser 148 8049 Zurich Switzerland
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37
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Coroneo M, Montante G, Paglianti A. Computational Fluid Dynamics Modeling of Corrugated Static Mixers for Turbulent Applications. Ind Eng Chem Res 2012. [DOI: 10.1021/ie300398z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Mirella Coroneo
- Department of Chemical, Mining and Environmental Engineering, University of Bologna, Via Terracini 28, I-40131 Bologna,
Italy
| | - Giuseppina Montante
- Department of Chemical, Mining and Environmental Engineering, University of Bologna, Via Terracini 28, I-40131 Bologna,
Italy
| | - Alessandro Paglianti
- Department of Chemical, Mining and Environmental Engineering, University of Bologna, Via Terracini 28, I-40131 Bologna,
Italy
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38
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Zhang Q, Yang C, Mao ZS, Mu J. Large Eddy Simulation of Turbulent Flow and Mixing Time in a Gas–Liquid Stirred Tank. Ind Eng Chem Res 2012. [DOI: 10.1021/ie202447n] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Qinghua Zhang
- National Key
Laboratory of Biochemical
Engineering, Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Chao Yang
- National Key
Laboratory of Biochemical
Engineering, Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- Jiangsu Marine Resources Development Research Institute, Lianyungang
222005, China
| | - Zai-Sha Mao
- National Key
Laboratory of Biochemical
Engineering, Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Junjuan Mu
- Wison Engineering Ltd., Beijing 100102, China
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Roy S, Acharya S. Scalar mixing in a turbulent stirred tank with pitched blade turbine: Role of impeller speed perturbation. Chem Eng Res Des 2012. [DOI: 10.1016/j.cherd.2011.10.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Derksen JJ. Direct Simulations of Mixing of Liquids with Density and Viscosity Differences. Ind Eng Chem Res 2012. [DOI: 10.1021/ie3000419] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- J. J. Derksen
- Chemical & Materials Engineering, University of Alberta, Edmonton, Alberta, T6G 2G6 Canada
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41
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Coroneo M, Montante G, Paglianti A, Magelli F. CFD prediction of fluid flow and mixing in stirred tanks: Numerical issues about the RANS simulations. Comput Chem Eng 2011. [DOI: 10.1016/j.compchemeng.2010.12.007] [Citation(s) in RCA: 122] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Liu M. Quantitative characterisation of mixing in stirred tank reactors with mean age distribution. CAN J CHEM ENG 2011. [DOI: 10.1002/cjce.20563] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Minye Liu
- DuPont Company, 1007 Market Street, Wilmington, DE 19898, U.S.A
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43
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Joshi JB, Nere NK, Rane CV, Murthy BN, Mathpati CS, Patwardhan AW, Ranade VV. CFD simulation of stirred tanks: Comparison of turbulence models. Part I: Radial flow impellers. CAN J CHEM ENG 2011. [DOI: 10.1002/cjce.20446] [Citation(s) in RCA: 123] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Wang Y, Chu J, Zhuang Y, Wang Y, Xia J, Zhang S. Industrial bioprocess control and optimization in the context of systems biotechnology. Biotechnol Adv 2009; 27:989-995. [DOI: 10.1016/j.biotechadv.2009.05.022] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Xia JY, Wang YH, Zhang SL, Chen N, Yin P, Zhuang YP, Chu J. Fluid dynamics investigation of variant impeller combinations by simulation and fermentation experiment. Biochem Eng J 2009. [DOI: 10.1016/j.bej.2008.10.010] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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50
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