Academic literature on the topic 'Bioreactor simulation'

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Journal articles on the topic "Bioreactor simulation"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Bioreactor simulation"

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Osorio, Diego. "Numerical simulation of the fluid mechanics of a spinner flask bioreactor." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/18232.

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Detzel, Christopher James. "Simulation and use of a centrifugal bioreactor for mammalian cell and tissue culture." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Dissertations/Summer2009/c_detzel_061709.pdf.

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Thesis (Ph. D.)--Washington State University, August 2009.<br>Title from PDF title page (viewed on Aug. 3, 2009). "School of Chemical Engineering and Bioengineering." Includes bibliographical references.
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Janus, Tomasz. "Modelling and simulation of membrane bioreactors for wastewater treatment." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/9507.

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The work presented in this thesis leads to the formulation of a dynamic mathematical model of an immersed membrane bioreactor (iMBR) for wastewater treatment. This thesis is organised into three parts, each one describing a different set of tasks associated with model development and simulation. In the first part, the Author qualitatively and quantitatively compares various published activated sludge models, i.e. models of biochemical processes associated with bacterial growth, decay, lysis and substrate utilisation in activated sludge systems. As the thesis is focused on modelling membrane bi
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Fernandes, Freitas Dino Miguel. "A mechano-perfusion bioreactor for tissue engineering." Doctoral thesis, Universitat de Girona, 2019. http://hdl.handle.net/10803/668821.

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Tissue Engineering plays a vital role in tissue construct to repair, maintain or replace tissues. Those tissues can be cultivated in vivo or in vitro using devices such as bioreactors. There are several approaches to create the necessary tissues, but one of the most popular and successful is by using scaffold constructs to provide the required stability and support. After the cells being implanted on the scaffolds, they are then inserted in the bioreactors. Those bioreactors seek to mimic the conditions provided to cells by the human body. This issue by itself presents several challeng
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Zarragoitia, Gonzalez Alain. "Développement de modèles dynamiques pour la simulation et l'optimisation de bioréacteurs à membranes immergées pour le traitement d'eaux usées." Thesis, Toulouse, INPT, 2009. http://www.theses.fr/2009INPT016G/document.

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Le traitement des effluents et eaux usées par bioréacteurs à membranes immergées (BAMI) permet d'obtenir une haute qualité de perméat par une dégradation biologique et une séparation physique. Néanmoins, le procédé de filtration est limité par l'influence de facteurs très complexes, en particulier le colmatage de la membrane. Le but du travail est de développer des modèles dynamiques et de simuler le procédé de filtration dans les BAMI. Le développement et la simulation des modèles ont été ciblés sur la description des rapports existants entre les variables les plus importantes du système, com
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Zhang, Changjiang. "COMPUTER SIMULATION OF A HOLLOW-FIBER BIOREACTOR: HEPARAN REGULATED GROWTH FACTORS-RECEPTORS BINDING AND DISSOCIATION ANALYSIS." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_diss/816.

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This thesis demonstrates the use of numerical simulation in predicting the behavior of proteins in a flow environment. A novel convection-diffusion-reaction computational model is first introduced to simulate fibroblast growth factor (FGF-2) binding to its receptor (FGFR) on cell surfaces and regulated by heparan sulfate proteoglycan (HSPG) under flow in a bioreactor. The model includes three parts: (1) the flow of medium using incompressible Navier-Stokes equations; (2) the mass transport of FGF-2 using convection-diffusion equations; and (3) the cell surface binding using chemical kinetics.
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Robles, Martínez Ángel. "Modelling, simulation and control of the filtration process in a submerged anaerobic membrane bioreactor treating urban wastewater." Doctoral thesis, Editorial Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/34102.

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El reactor anaerobio de membranas sumergidas (SAnMBR) está considerado como tecnología candidata para mejorar la sostenibilidad en el sector de la depuración de aguas residuales, ampliando la aplicabilidad de la biotecnología anaerobia al tratamiento de aguas residuales de baja carga (v.g. agua residual urbana) o a condiciones medioambientales extremas (v.g. bajas temperaturas de operación). Esta tecnología alternativa de tratamiento de aguas residuales es más sostenible que las tecnologías aerobias actuales ya que el agua residual se transforma en una fuente renovable de energía y
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Leonard, Katherine H. L. "Mathematical and computational modelling of tissue engineered bone in a hydrostatic bioreactor." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:05845740-1a74-4e19-95ea-6b5229d1af27.

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In vitro tissue engineering is a method for developing living and functional tissues external to the body, often within a device called a bioreactor to control the chemical and mechanical environment. However, the quality of bone tissue engineered products is currently inadequate for clinical use as the implant cannot bear weight. In an effort to improve the quality of the construct, hydrostatic pressure, the pressure in a fluid at equilibrium that is required to balance the force exerted by the weight of the fluid above, has been investigated as a mechanical stimulus for promoting extracellul
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Moreira, da Silva Maria da Conceicao Barbosa. "Optimization of a continuous membrane bioreactor for the saccharification of starch using temperature as a control variable : experimental study and simulation analysis." Thesis, University of Reading, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280323.

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Henkel, Marius [Verfasser], and C. [Akademischer Betreuer] Syldatk. "Layered Modeling and Simulation of Complex Biotechnological Processes - Optimizing Rhamnolipid Production by Pseudomonas aeruginosa during Cultivation in a Bioreactor / Marius Henkel. Betreuer: C. Syldatk." Karlsruhe : KIT-Bibliothek, 2014. http://d-nb.info/1063027632/34.

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Books on the topic "Bioreactor simulation"

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Sim, Chung-sik. Taginŭngsŏng saengchʻe chojik chaesaeng kigi kaebal =: Development of a multi-purpose bioreactor for tissue regeneration. Pogŏn Pokchibu, 2007.

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Simulation of membrane reactors. Nova Science Publishers, 2009.

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Heinzle, Elmar, Irving J. Dunn, John Ingham, and Jiri E. Prenosil. Biological Reaction Engineering: Dynamic Modelling Fundamentals with Simulation Examples. 2nd ed. Wiley-VCH, 2003.

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J, Dunn Irving, ed. Biological reaction engineering: Dynamic modelling fundamentals with simulation examples. 2nd ed. Wiley-VCH, 2003.

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A, Bódalo, ed. Análisis y simulación digital de reactores de lecho fijo para sistemas de enzimas inmovilizadas. Departamento de Química Técnica, Facultad de Ciencias Químicas y Matemáticas, Universidad de Murcia, 1985.

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(Editor), A. R. Moreira, and Kimberlee K. Wallace (Editor), eds. Computer and Information Science Applications in Bioprocess Engineering (NATO Science Series E:). Springer, 1995.

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Computer and information science applications in bioprocess engineering. Kluwer Academic Publishers, 1996.

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Heinzle, Elmar, Irving J. Dunn, John Ingham, and Jiri E. Prenosil. Biological Reaction Engineering: Dynamic Modelling Fundamentals with Simulation Examples. Wiley-VCH Verlag GmbH, 2013.

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Heinzle, Elmar, Irving J. Dunn, John Ingham, and Jiri E. Prenosil. Biological Reaction Engineering: Dynamic Modelling Fundamentals with Simulation Examples. Wiley & Sons, Limited, John, 2005.

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J, Dunn Irving, ed. Biological reaction engineering: Principles, applications, and modelling with PC simulation. VCH, 1992.

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Book chapters on the topic "Bioreactor simulation"

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Luttmann, Reiner, and Klaus-Uwe Gollmer. "On-Line Simulation Techniques for Bioreactor Control Development." In Bioreaction Engineering. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59735-0_7.

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Baldit, Adrien, Marzia Brunelli, Ana Campos Marin, and Damien Lacroix. "Multiscale Simulation of Bioreactor Design and In Vitro Conditions." In Frontiers of Biomechanics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8075-3_2.

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Li, An-Zheng, Shi-Jin Feng, and Ben-Yi Cao. "Numerical Simulation of Bioreactor Landfills Subjected to Aeration Using CFD." In Proceedings of the 8th International Congress on Environmental Geotechnics Volume 2. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2224-2_28.

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Papáček, Štěpán, Ctirad Matonoha, and Karel Petera. "Modeling and Simulation of Microalgae Growth in a Couette-Taylor Bioreactor." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97136-0_13.

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Paján, Harold, Ricardo Pérez-Correa, Iván Solar, and Eduardo Agosin. "Multivariable model predictive control of a solid substrate pilot bioreactor: A simulation study." In Global Environmental Biotechnology. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-017-1711-3_19.

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Almeida, Renata M. R. G., Antonio J. G. Cruz, Maria Lucia G. C. Araujo, Roberto C. Giordano, and Carlos O. Hokka. "Modeling and Simulation of Cephalosporin C Production in a Fed-Batch Tower-Type Bioreactor." In Twenty-Second Symposium on Biotechnology for Fuels and Chemicals. Humana Press, 2001. http://dx.doi.org/10.1007/978-1-4612-0217-2_46.

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Um, Byung-Hwan, and Thomas R. Hanley. "A Comparison of Simple Rheological Parameters and Simulation Data for Zymomonas mobilis Fermentation Broths with High Substrate Loading in a 3-L Bioreactor." In Biotechnology for Fuels and Chemicals. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-60327-526-2_5.

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Terrisse, Fanny, Robert Duran, Isabelle Vitte, and Cristiana Cravo-Laureau. "Simulation of Anoxic–Oxic Oscillations in Crude Oil-Degrading Bioreactors." In Springer Protocols Handbooks. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/8623_2014_43.

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Okiyama, D. C. G., J. A. Rabi, R. Ribeiro, A. D. N. Ferraz, and M. Zaiat. "CFD Simulations of Fluid Dynamics Inside a Fixed-Bed Bioreactor for Sugarcane Vinasse Treatment." In Lecture Notes in Civil Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58421-8_107.

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Fortunato, V. A., F. L. Caneppele, R. Ribeiro, and J. A. Rabi. "Development of an in-House Lattice-Boltzmann Simulator Towards Bioreactors for Wastewater Treatment: Underlying Concepts." In Lecture Notes in Civil Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58421-8_17.

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Conference papers on the topic "Bioreactor simulation"

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Zhang, Yanfang, and Huaiqing Chen. "Numerical Simulation of the Horizontal Rotating Bioreactor." In 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icbbe.2010.5515732.

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Lin, Hsin-Ying, John C. Lewis, and Richard H. Luecke. "Simulation of UDMC on a Fed-Batch Bioreactor." In 1988 American Control Conference. IEEE, 1988. http://dx.doi.org/10.23919/acc.1988.4789731.

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Petelkov, Ivan, Rositsa Denkova, Vesela Shopska, et al. "Modeling Of Continuous Ethanol Fermentation In Ideal Mixing Column Bioreactor." In 31st Conference on Modelling and Simulation. ECMS, 2017. http://dx.doi.org/10.7148/2017-0335.

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Ganimedov, V. L., E. O. Papaeva, N. A. Maslov, and P. M. Larionov. "Numerical simulation of fluid flow in a rotational bioreactor." In PROCEEDINGS OF THE XXV CONFERENCE ON HIGH-ENERGY PROCESSES IN CONDENSED MATTER (HEPCM 2017): Dedicated to the 60th anniversary of the Khristianovich Institute of Theoretical and Applied Mechanics SB RAS. Author(s), 2017. http://dx.doi.org/10.1063/1.5007464.

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Kim, Byung-Joo. "Dynamic Variation of Neural Network System on Bioreactor Process." In Circuits, Control, Communication, Electricity, Electronics, Energy, System, Signal and Simulation 2016. Science & Engineering Research Support soCiety, 2016. http://dx.doi.org/10.14257/astl.2016.135.13.

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Fonseca, Rodolpho R., Ivan C. Franco, and Flávio V. da Silva. "Bioreactor Temperature Control using a Generic Fuzzy Feedforward Control System." In Modelling, Simulation and Identification / 841: Intelligent Systems and Control. ACTAPRESS, 2016. http://dx.doi.org/10.2316/p.2016.841-024.

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Molin, Hanna, Jesús Zambrano, and Bengt Carlsson. "Optimization of Bioreactor Volumes in Steady-State - A Simulation Study." In The 59th Conference on imulation and Modelling (SIMS 59), 26-28 September 2018, Oslo Metropolitan University, Norway. Linköping University Electronic Press, 2018. http://dx.doi.org/10.3384/ecp18153322.

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Agustriyanto, Rudy, Puguh Setyopratomo, and Akbarningrum Fatmawati. "Simulation of a Proportional-Integral-Derivative Control for Continuous Bioreactor." In International Conference on Industrial Technology. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0009423201190123.

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Soares, João S., Trung L. Le, Fotis Sotiropoulos, and Michael S. Sacks. "Modeling the Role of Oscillatory Flow and Dynamic Mechanical Conditioning on Dense Connective Tissue Formation in Mesenchymal Stem Cell Derived Heart Valve Tissue Engineering." In ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16165.

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Living tissue engineered heart valves (TEHV) may circumvent ongoing problems in pediatric valve replacements, offering optimum hemodynamic performance and the potential for growth, remodeling, and self-repair [1]. Although a myriad of external stimuli are available in current bioreactors (e.g. oscillatory flows, mechanical conditioning, etc.), there remain significant bioengineering challenges in determining and quantifying parameters that lead to optimal ECM development and structure for the long term goal of engineering TEHVs exhibiting tissue architecture functionality equivalent to native
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Gelves, R. "CFD simulation of liquid-liquid dispersions in a stirred tank bioreactor." In 11TH INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2013: ICNAAM 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4825982.

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