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Journal articles on the topic 'Bioreactor simulation'

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1

Ritonja, Jožef, Andreja Goršek, Darja Pečar, Tatjana Petek, and Boštjan Polajžer. "Dynamic Modeling of the Impact of Temperature Changes on CO2 Production during Milk Fermentation in Batch Bioreactors." Foods 10, no. 8 (2021): 1809. http://dx.doi.org/10.3390/foods10081809.

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Knowledge of the mathematical models of the fermentation processes is indispensable for their simulation and optimization and for the design and synthesis of the applicable control systems. The paper focuses on determining a dynamic mathematical model of the milk fermentation process taking place in a batch bioreactor. Models in the literature describe milk fermentation in batch bioreactors as an autonomous system. They do not enable the analysis of the effect of temperature changes on the metabolism during fermentation. In the presented extensive multidisciplinary study, we have developed a n
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2

Nokhbatolfoghahaei, Hanieh, Mahboubeh Bohlouli, Kazem Adavi, et al. "Computational modeling of media flow through perfusion-based bioreactors for bone tissue engineering." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 234, no. 12 (2020): 1397–408. http://dx.doi.org/10.1177/0954411920944039.

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Bioreactor system has been used in bone tissue engineering in order to simulate dynamic nature of bone tissue environments. Perfusion bioreactors have been reported as the most efficient types of shear-loading bioreactor. Also, combination of forces, such as rotation plus perfusion, has been reported to enhance cell growth and osteogenic differentiation. Mathematical modeling using sophisticated infrastructure processes could be helpful and streamline the development of functional grafts by estimating and defining an effective range of bioreactor settings for better augmentation of tissue engi
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3

Lakov, V., E. Chorukova, and I. Simeonov. "Mathematical Modelling and Extremum Seeking Control of Cascade of Two Bioreactors for Production of Hydrogen and Methane." Information Technologies and Control 15, no. 2 (2017): 6–13. http://dx.doi.org/10.1515/itc-2017-0022.

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Abstract A mathematical model of a cascade of two continuously stirred anaerobic bioreactors is presented in this paper and the extremum seeking control is applied on it. The dilution rate of the first bioreactor is chosen as control action and the joint biogas flow rate both bioreactors is the measured output to be maximized. The concentration of inlet organics is accepted as the disturbance. The correction of the working volume of the second bioreactor is studied as the inner loop of the cascade control system. The outer control loop is represented by the extremum seeking controller, which f
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4

Salonen, K., K. Kiviharju, and T. Eerikäinen. "BIOREACTOR MEASUREMENT AND SIMULATION ENVIRONMENT." IFAC Proceedings Volumes 40, no. 4 (2007): 283–88. http://dx.doi.org/10.3182/20070604-3-mx-2914.00049.

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5

Biliaiev, M. M., M. V. Lemesh, V. O. Zadoia, P. B. Mashykhina, L. H. Tatarko, and Z. M. Yakubovska. "Simulation of Biological Wastewater Treatment in Aerotanks with Moving Biocenosis." Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, no. 1(91) (February 15, 2021): 15–24. http://dx.doi.org/10.15802/stp2021/227358.

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Purpose. The main purpose of the article is to develop a numerical model for the analysis of the process of biological wastewater treatment in a reactor with a mobile biocenosis. Methodology. For mathematical modeling of the process of biological wastewater treatment in a reactor with a moving biocenosis, a hydrodynamic model of a non-viscous vortex-free flow is used. We calculated the boundary conditions for the modeling equation on the surfaces of the bioreactor, solid walls, and the upper surface; at the inlet boundary; at the outlet boundary from the building. To calculate the process of m
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6

Matijašević, Lj, Č. Plavljanić, and Đ. Vasić-Rački. "Dynamic simulation of the integrated bioreactor." Bioprocess Engineering 14, no. 5 (1996): 255–59. http://dx.doi.org/10.1007/bf00369922.

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7

Matijas˘ević, L., C. Plavljanić, and D. Vasić-Rac˘ki. "Dynamic simulation of the integrated bioreactor." Bioprocess Engineering 14, no. 5 (1996): 255. http://dx.doi.org/10.1007/s004490050213.

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8

Yu, Chi, Gang Wang, Jing Zhang, and Shi Ping Zhan. "Flow Field Numerical Simulation on the Membrane Aeration Biofilm Reactor." Advanced Materials Research 945-949 (June 2014): 1003–6. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1003.

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Based on the design of membrane bioreactor three-dimensional finite element model is established,Finite volume method was applied to sewage treatment in the process of membrane bioreactor internal flow field is unsteady flow numerical simulation and analysis. The results of numerical simulation can be seen at the bottom of the membrane module speed change is small, to purify sewage full contact with membrane module, the upper change is bigger, treated sewage can be quickly exhaust to the outside world. This study on flow field of the bioreactor of in-depth study, the new structure design and o
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9

Zeng, Yan, Thong-See Lee, Peng Yu, and Hong-Tong Low. "Numerical Simulation on Mass Transport in a Microchannel Bioreactor for Co-culture Applications." Journal of Biomechanical Engineering 129, no. 3 (2006): 365–73. http://dx.doi.org/10.1115/1.2720913.

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Microchannel bioreactors have applications for manipulating and investigating the fluid microenvironment on cell growth and functions in either single culture or co-culture. This study considers two different types of cells distributed randomly as a co-culture at the base of a microchannel bioreactor: absorption cells, which only consume species based on the Michaelis-Menten process, and release cells, which secrete species, assuming zeroth order reaction, to support the absorption cells. The species concentrations at the co-culture cell base are computed from a three-dimensional numerical flo
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10

Zhu, Li Kuan, Bo Yan Song, Zhen Long Wang, and Yu Kui Wang. "Optimze the Structure of Impeller for Stirred Bioreactor." Advanced Materials Research 694-697 (May 2013): 148–53. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.148.

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This paper mainly makes comparative analysis on four main types of blade in stirred bioreactor by Computational Fluid Dynamics(CFD) simulation. Firstly we establish simulation method suited for stirred bioreactor, then simulate the velocity and shear force of flow field in the bioreactor. No matter from flow field mixing or shear force aspect, Elephant Ear blades is the most suitable for cell large scale culture. At last, it optimizes the installation method and angle of Elephant Ear blades. It concludes that anticlockwise rotation and 45°installation angle is the optimum.
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11

Yaroshevsky, V., V. Bulgakov, S. Ivanovs, V. Krutyakova, V. Belchenko, and J. Olt. "RESEARCH ON THE IMPACT OF THE AIR-LIQUID JET MIXER UPON RING BIOREACTOR OPERATION." INMATEH Agricultural Engineering 60, no. 1 (2020): 115–22. http://dx.doi.org/10.35633/inmateh-60-13.

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In the production of biological preparations for agriculture there are promising jet bioreactors with an external circulation ring, providing intense mixing of the medium along with a high degree of aeration. However, application of these bioreactors is limited by large shear loads on the microorganisms (microorganism cells) arising in the circulation pump. The article deals with one of the ways for solving this problem by using a low-capacity pump for the circulation of the fermentation medium according to a non-standard scheme of medium jet aeration in order to intensify the mass exchange pr
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12

Li, Weiwei, Chunqing Li, and Tao Wang. "Application of machine learning algorithms in MBR simulation under big data platform." Water Practice and Technology 15, no. 4 (2020): 1238–47. http://dx.doi.org/10.2166/wpt.2020.095.

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Abstract Membrane bioreactors (MBRs) are a sewage treatment process that combines membrane separation with bioreactor technology. It has great advantages in sewage treatment. Membrane fouling hinders MBR process development, however. Studies have shown that the degree of membrane fouling can be judged using the membrane flux rate. In this study, principal component analysis was used to extract the main factors affecting membrane fouling, then the random forest algorithm on the Hadoop big data platform was used to establish an MBR membrane flux prediction model, which was tested. In order to ve
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13

Weng, Bin, Ying Shen, Jia Cheng Chen, et al. "CFD Simulation of an Airlift-Driven Raceway Bioreactor for Microalgae Cultivation." Advanced Materials Research 955-959 (June 2014): 289–92. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.289.

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The objective of this paper is to optimize the design and structure of an airlift-driven raceway bioreactor via the computational fluid dynamics (CFD) simulation for microalgae cultivation. The calculated results showed that the airlift-driven raceway bioreactor had maximum average velocity when setting two airlift tubes (of 350 mm in length) in the middle, furthermore adding the inducing baffle structure. Under this condition, minimum dead zone ratio was obtained, which was advantageous to the microalgae cultivaiton.
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14

Ye, Li, Zheng Ming Tong, Jai Lei Lu, Kai Zhu, and Chao Li. "Numerical Simulation of Taylor Couette Flow in Bioreactor." Advanced Materials Research 236-238 (May 2011): 1000–1004. http://dx.doi.org/10.4028/www.scientific.net/amr.236-238.1000.

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Taylor Couette flow in bioreactor at different Re values is researched numerically by means of establishing a simplified model. Numerical results indicate that vortex appears earlier in the vicinity of bottom wall than in the vicinity of top free surface. As Re number increases, vortexes generate from both ends towards middle area of flow field and will fill the whole space when critical Re value is reached. Although all vortexes look the same in structure, intensities of them are widely divergent. The strength of vortex at bottom wall is more intensive than that at top free surface, while the
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15

Arzamastsev, A. A., and E. N. Albitskaya. "Simulation of temperature self-regulation in a bioreactor." Mathematical Models and Computer Simulations 3, no. 3 (2011): 299–310. http://dx.doi.org/10.1134/s2070048211030021.

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16

Kleinstreuer, C., and S. S. Agarwal. "Analysis and simulation of hollow-fiber bioreactor dynamics." Biotechnology and Bioengineering 28, no. 8 (1986): 1233–40. http://dx.doi.org/10.1002/bit.260280815.

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17

TRONE, MC, AS GAUTHIER, N. CAMPOLMI, et al. "Simulation of DSAEK in a new corneal bioreactor." Acta Ophthalmologica 91 (August 2013): 0. http://dx.doi.org/10.1111/j.1755-3768.2013.s032.x.

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18

Skoneczny, Szymon, Wojciech Stryjewski, Katarzyna Bizon, and Bolesław Tabiś. "Three-phase fluidized bed bioreactor modelling and simulation." Biochemical Engineering Journal 121 (May 2017): 118–30. http://dx.doi.org/10.1016/j.bej.2017.01.017.

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19

Ritonja, Jožef. "Adaptive Control of CO2 Production during Milk Fermentation in a Batch Bioreactor." Mathematics 9, no. 15 (2021): 1712. http://dx.doi.org/10.3390/math9151712.

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The basic characteristic of batch bioreactors is their inability to inflow or outflow the substances during the fermentation process. This follows in the simple construction and maintenance, which is the significant advantage of batch bioreactors. Unfortunately, this characteristic also results in the inability of the current industrial and laboratory batch bioreactors to control fermentation production during the process duration. In some recent studies, it was shown that changing the temperature could influence the execution of the fermentation process. The presented paper shows that this ph
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20

Warith, Mostafa A., and Graham J. Takata. "Effect of Aeration on Fresh and Aged Municipal Solid Waste in a Simulated Landfill Bioreactor." Water Quality Research Journal 39, no. 3 (2004): 223–29. http://dx.doi.org/10.2166/wqrj.2004.031.

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Abstract Municipal solid waste (MSW) is slow to stabilize under conventional anaerobic landfill conditions, demanding long-term monitoring and pollution control. Provision of aerobic conditions offers several advantages including accelerated leachate stabilization, increased landfill airspace recovery and a reduction in greenhouse gas emissions. Air injection was applied over 130 days to bench-scale bioreactors containing fresh and aged MSW representative of newly constructed and pre-existing landfill conditions. In the fresh MSW simulation bioreactors, aeration reduced the average time to sta
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21

Reddy, J. N., Vinu U. Unnikrishnan, and Ginu U. Unnikrishnan. "Recent advances in the analysis of nanotube-reinforced polymeric biomaterials." Journal of the Mechanical Behavior of Materials 22, no. 5-6 (2013): 137–48. http://dx.doi.org/10.1515/jmbm-2013-0021.

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AbstractConventional experimental or computational techniques are often inadequate for the analysis and development of nanocomposite-based materials as they are tedious (e.g., experimental methods) or are unsuitable to capture the properties of these novel materials (e.g., conventional computational techniques), thereby requiring multiscale computational strategies. During the last 5 years, major developments were made by the authors on the formulation and implementation of multiscale computational models, using atomistic simulation and micro-mechanics-based techniques, to study the mechanical
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22

Arulmozhi, N. "Bioreactor Control Using Fuzzy Logic Controllers." Applied Mechanics and Materials 573 (June 2014): 291–96. http://dx.doi.org/10.4028/www.scientific.net/amm.573.291.

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Bioreactors are characterized by high nonlinearities and are often subjected to parameter uncertainties and disturbances. The control of such processes is often difficult to achieve with traditional linear control techniques. In the present work, a Fuzzy logic controller is designed in two versions to a Bioreactor which exhibits input multiplicities in dilution rate on productivity. Fuzzy controller and Fuzzy tuned PI controller is designed to translate the information obtained from the operator’s experiences for designing an automatic control system The Performance of proposed Fuzzy logic con
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23

Chaize, S., and A. Huyard. "Membrane Bioreactor on Domestic Wastewater Treatment Sludge Production and Modeling Approach." Water Science and Technology 23, no. 7-9 (1991): 1591–600. http://dx.doi.org/10.2166/wst.1991.0613.

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The membrane bioreactor, with an increase of biomass concentration in the aeration tank, permit work with low F/M ratio and a reduction in sludge production. The membrane bioreactor potentialities have been tested on a laboratory pilot for domestic wastewater treatment. Various operating conditions (HRT, SRT) were applied to investigate organic and nitrogen removal as well as sludge production. Two modeling approaches were tested (maintenance phenomena, single sludge simulation process) with unsuccessfull predictions. Futher investigations are needed to better understand biological kinetics an
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24

Štumbauer, Václav, Karel Petera, and Dalibor Štys. "The lattice Boltzmann method in bioreactor design and simulation." Mathematical and Computer Modelling 57, no. 7-8 (2013): 1913–18. http://dx.doi.org/10.1016/j.mcm.2011.12.033.

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25

Janus, Tomasz, and Bogumil Ulanicki. "Integrated benchmark simulation model of an immersed membrane bioreactor." Process Safety and Environmental Protection 104 (November 2016): 24–37. http://dx.doi.org/10.1016/j.psep.2016.08.005.

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26

Stoffel, Marcus, Jeong Hun Yi, Dieter Weichert, et al. "Bioreactor cultivation and remodelling simulation for cartilage replacement material." Medical Engineering & Physics 34, no. 1 (2012): 56–63. http://dx.doi.org/10.1016/j.medengphy.2011.06.018.

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27

Ahmad, Wajdi, and Nabil Abdel-Jabbar. "MODELING AND SIMULATION OF A FRACTIONAL ORDER BIOREACTOR SYSTEM." IFAC Proceedings Volumes 39, no. 11 (2006): 260–64. http://dx.doi.org/10.3182/20060719-3-pt-4902.00048.

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28

Ester, S., X. Guo, and A. Delgado. "Numerical simulation of the flow field in a bioreactor." Water Science and Technology 41, no. 4-5 (2000): 207–10. http://dx.doi.org/10.2166/wst.2000.0446.

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In order to give detailed information about the local flow field in a bioreactor a numerical method has been developed. This method gives information about the velocity, pressure and temperature in each point of the reactor, avoiding the problems caused by placing measurement instruments inside. Comparisons of experiments and numerical results show good agreement. The functionality and physical fundamentals of this tool are described. This is followed by explaining a reasonable application of the numerical code in the field of biological reactors. The reactors considered are filled with polydi
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29

Rajinikanth, V., and K. Latha. "Modeling, Analysis, and Intelligent Controller Tuning for a Bioreactor: A Simulation Study." ISRN Chemical Engineering 2012 (December 30, 2012): 1–15. http://dx.doi.org/10.5402/2012/413657.

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In this paper, a novel modeling technique has been attempted to develop the mathematical model for a bioreactor functioning at multiple operating regions. The first principle mathematical equations of the reactor are used with the POLYMATH software to generate essential data for the model development. A relative analysis is also carried out with the existing models in the literature. An optimal PID controller is then designed using a multiobjective particle swarm optimization algorithm. The controller tuning procedure is individually discussed for both the stable and unstable steady state regi
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30

Newell, Bob, Jeff Bailey, Ashraful Islam, Lisa Hopkins, and Paul Lant. "Characterising bioreactor mixing with residence time distribution (RTD) tests." Water Science and Technology 37, no. 12 (1998): 43–47. http://dx.doi.org/10.2166/wst.1998.0495.

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This paper presents a technique for configuring wastewater process simulations so that the hydraulic characteristics are similar to the real plant. Residence time distribution (RTD) tests are performed on two biological nutrient removal pilot plants. The RTD tests proved valuable for evaluating mixing effectiveness, volume utilisation and for determining an appropriate hydraulic topology for the dynamic models of the pilot plants. As a result of this work, simulation execution times became much faster due to a significant reduction in the number of effective stirred tanks required in the model
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31

Zolfaghari, Pezhman, Shabnam Shoaebargh, Mostafa Aghbolaghy, and Afzal Karimi. "CFD modelling of a rectangular photobioreactor used for decolorization of Acid Orange 7 by GOx/TiO2/PU porous catalyst." Chemical Industry and Chemical Engineering Quarterly 25, no. 2 (2019): 131–40. http://dx.doi.org/10.2298/ciceq170201026z.

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A rectangular bioreactor with a porous catalyst (GOx/TiO2/PU) was investigated by computational fluid dynamics (CFD). The bioreactor was used for elimination of Acid Orange 7 (AO7) dye as a model aqueous pollutant. CFD simulation was validated experimentally in a flow rate of 30?60 mL/min and initial dye concentration of 5.7?10.75 mg/L. Hydrodynamics equations were successfully integrated to study the effect of porous media on flow behavior and pressure drop. Hydrodynamics and RTD analyses proved that the implementation of polyurethane foam as a porous carrier leads to higher residence time an
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32

Patil, Bhagwan Shamrao, Agnes Anto C, and Devendra Narain Singh. "Simulation of municipal solid waste degradation in aerobic and anaerobic bioreactor landfills." Waste Management & Research: The Journal for a Sustainable Circular Economy 35, no. 3 (2016): 301–12. http://dx.doi.org/10.1177/0734242x16679258.

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Municipal solid waste generation is huge in growing cities of developing nations such as India, owing to the rapid industrial and population growth. In addition to various methods for treatment and disposal of municipal solid waste (landfills, composting, bio-methanation, incineration and pyrolysis), aerobic/anaerobic bioreactor landfills are gaining popularity for economical and effective disposal of municipal solid waste. However, efficiency of municipal solid waste bioreactor landfills primarily depends on the municipal solid waste decomposition rate, which can be accelerated through monito
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33

Weyand, Birgit, Meir Israelowitz, James Kramer, et al. "Three-Dimensional Modelling inside a Differential Pressure Laminar Flow Bioreactor Filled with Porous Media." BioMed Research International 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/320280.

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A three-dimensional computational fluid dynamics- (CFD-) model based on a differential pressure laminar flow bioreactor prototype was developed to further examine performance under changing culture conditions. Cell growth inside scaffolds was simulated by decreasing intrinsic permeability values and led to pressure build-up in the upper culture chamber. Pressure release by an integrated bypass system allowed continuation of culture. The specific shape of the bioreactor culture vessel supported a homogenous flow profile and mass flux at the scaffold level at various scaffold permeabilities. Exp
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34

Skoneczny, Szymon. "Cellular automata-based modelling and simulation of biofilm structure on multi-core computers." Water Science and Technology 72, no. 11 (2015): 2071–81. http://dx.doi.org/10.2166/wst.2015.426.

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The article presents a mathematical model of biofilm growth for aerobic biodegradation of a toxic carbonaceous substrate. Modelling of biofilm growth has fundamental significance in numerous processes of biotechnology and mathematical modelling of bioreactors. The process following double-substrate kinetics with substrate inhibition proceeding in a biofilm has not been modelled so far by means of cellular automata. Each process in the model proposed, i.e. diffusion of substrates, uptake of substrates, growth and decay of microorganisms and biofilm detachment, is simulated in a discrete manner.
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35

Dessislava, Moutafchìeva, and Iliev Veselin. "Micro-macro transition for numerical simulation of submerged membrane bioreactor." EuroBiotech Journal 4, no. 2 (2020): 82–88. http://dx.doi.org/10.2478/ebtj-2020-0009.

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AbstractThe objective of this work is numerical simulation of the membrane by direct analysis at micro, meso and macro level. This approach includes first a defining and modeling of a basic structural unit, after that simulation of a fragment as a representative element of the membrane structure. Then the results obtained to transfer for the entire membrane module and finally modeling of the membrane as porous media with calculated permeability. The numerical simulation was done with Ansys CFX, using the Darcy’s equation for flow through porous media with configuration of the membrane and seco
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36

Jin, Yan, Cheng-Lin Liu, Xing-Fu Song, and Jian-Guo Yu. "Computational fluid dynamics simulation as a tool for optimizing the hydrodynamic performance of membrane bioreactors." RSC Advances 9, no. 55 (2019): 32034–46. http://dx.doi.org/10.1039/c9ra06706j.

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37

SATO, Kazuo, Kiyoshi YOSHIZAWA, and Takamichi NISHIYA. "Simulation study of the fermentation-process in a stripping bioreactor." JOURNAL OF THE BREWING SOCIETY OF JAPAN 85, no. 10 (1990): 745–49. http://dx.doi.org/10.6013/jbrewsocjapan1988.85.745.

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38

Nihtilä, M. T., J. Tervo, and J. P. Kaipio. "Simulation of a nonlinear distributed parameter bioreactor by FEM approach." Simulation Practice and Theory 5, no. 3 (1997): 199–216. http://dx.doi.org/10.1016/s0928-4869(96)00008-0.

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39

Peroni, Catalina Valencia, Jay H. Lee, and Niket S. Kaisare. "Optimization of a Fed-Batch Bioreactor Using Simulation-Based Approach." IFAC Proceedings Volumes 37, no. 1 (2004): 347–52. http://dx.doi.org/10.1016/s1474-6670(17)38756-6.

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40

Pereira, Rúben F., Dino Freitas, Ana Tojeira, Henrique A. Almeida, Nuno Alves, and Paulo J. Bártolo. "Computer modelling and simulation of a bioreactor for tissue engineering." International Journal of Computer Integrated Manufacturing 27, no. 10 (2013): 946–59. http://dx.doi.org/10.1080/0951192x.2013.812244.

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41

Mubeen ur Rehman, Shahzadi, Nadia Kiran, and Shamsul Qamar. "Numerical Simulation and Nonlinear Control of a Continuous Yeast Bioreactor." Journal of Chemical Engineering of Japan 48, no. 6 (2015): 472–80. http://dx.doi.org/10.1252/jcej.14we194.

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42

Pok, Seokwon, Dhananjay V. Dhane, and Sundararajan V. Madihally. "Computational simulation modelling of bioreactor configurations for regenerating human bladder." Computer Methods in Biomechanics and Biomedical Engineering 16, no. 8 (2013): 840–51. http://dx.doi.org/10.1080/10255842.2011.641177.

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43

Okoth, George, Jorg Thöming, and Hans-Jürgen Schmidt. "Simulation of a membrane bioreactor for regeneration of degreasing systems." Journal of Chemical Technology & Biotechnology 81, no. 6 (2006): 841–50. http://dx.doi.org/10.1002/jctb.1436.

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44

Moutafchieva, D., and V. Iliev. "Micro-macro transition for computer simulation of submerged membrane bioreactor." Journal of Biotechnology 305 (November 2019): S61. http://dx.doi.org/10.1016/j.jbiotec.2019.05.214.

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45

Pessoa, Diego Rodrigues, Anelize Terezinha Jung Finkler, Alex Vinícius Lopes Machado, David Alexander Mitchell, and Luiz Fernando de Lima Luz Jr. "CFD simulation of a packed-bed solid-state fermentation bioreactor." Applied Mathematical Modelling 70 (June 2019): 439–58. http://dx.doi.org/10.1016/j.apm.2019.01.032.

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46

Bonde, Durgesh, and Dr Satish Inamdar. "Optimal Control of fed batch bioreactor." International Journal of Research in Advent Technology 9, no. 5 (2021): 1–5. http://dx.doi.org/10.32622/ijrat.94202104.

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In this paper, we will consider the problem of optimal control of a fed batch reactor. Our objective is to simulate the fed batch reactor under specified conditions in order to find an optimal control policy. Thus, for any specified initial conditions and parameter values the optimal policy for reactor operation can be obtained from simulation. We have an example system of nosiheptide [1] and used gradient method to find optimal policy. Although the convergence is slow, an optimal solution is obtained and various plots are prepared that illustrate the applicability of the method well.
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47

Narayanan, C. M. "Studies on Computer-Aided Design and Analysis of Three-Phase Semifluidized Bed Bioreactors." Chemical Product and Process Modeling 10, no. 1 (2015): 55–70. http://dx.doi.org/10.1515/cppm-2014-0029.

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Abstract Attempts have been made to perform computer-aided analysis and simulation of the performance of a three-phase semifluidized bed bioreactor. The bioreactor is of biofilm type. Cocurrent operation with liquid (substrate solution) forming the continuous phase has been considered. Both air and feed solution are thus admitted from the bottom, the air moving up as tiny bubbles. Being semifluidized, the bioreactor is composed of a fully fluidized bed at the bottom and a packed bed at the top. The performance of the bioreactor is analysed by assuming it to be equivalent to two plug flow dispe
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Guller, A. E., P. N. Grebenyuk, A. B. Shekhter, A. V. Zvyagin, and S. M. Deyev. "Bioreactor-Based Tumor Tissue Engineering." Acta Naturae 8, no. 3 (2016): 44–58. http://dx.doi.org/10.32607/20758251-2016-8-3-44-58.

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This review focuses on modeling of cancer tumors using tissue engineering technology. Tumor tissue engineering (TTE) is a new method of three-dimensional (3D) simulation of malignant neoplasms. Design and development of complex tissue engineering constructs (TECs) that include cancer cells, cell-bearing scaffolds acting as the extracellular matrix, and other components of the tumor microenvironment is at the core of this approach. Although TECs can be transplanted into laboratory animals, the specific aim of TTE is the most realistic reproduction and long-term maintenance of the simulated tumo
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Amini, Ershad, Mohammad Reza Mehrnia, Seyyed Mohammad Mousavi, Hamed Azami, and Navid Mostoufi. "Investigating the effect of sparger configuration on the hydrodynamics of a full-scale membrane bioreactor using computational fluid dynamics." RSC Advances 5, no. 127 (2015): 105218–26. http://dx.doi.org/10.1039/c5ra18727c.

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50

Liu, Yang, Lixing Zhou, and Youngju Zhang. "Numerical Simulation of Bubble-Liquid Two-Phase Turbulent Flows in Shallow Bioreactor." Energies 12, no. 12 (2019): 2269. http://dx.doi.org/10.3390/en12122269.

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An improved second-order moment bubble-liquid two-phase turbulent model is developed to predict the hydrodynamic characteristics of the shallow bioreactor using two height-to-diameter ratios of H/D = 1.4 and H/D = 2.9. The two-phase hydrodynamic parameters, the bubble normal and shear stress, the bubble energy dissipation rate, the bubble turbulent kinetic energy, etc. were numerically simulated. These parameters increased along with flow direction and constituted a threat to cells living at far distance away from the gas jetting inlet regions, rather than a finding of higher cell damage at ne
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