Academic literature on the topic 'Heat and mass transfer (incl. computational fluid dynamics)'
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Journal articles on the topic "Heat and mass transfer (incl. computational fluid dynamics)"
Rojano, Fernando, Pierre-Emmanuel Bournet, Melynda Hassouna, Paul Robin, Murat Kacira, and Christopher Y. Choi. "Modelling heat and mass transfer of a broiler house using computational fluid dynamics." Biosystems Engineering 136 (August 2015): 25–38. http://dx.doi.org/10.1016/j.biosystemseng.2015.05.004.
Full textWrobel, Luiz C., Maciej K. Ginalski, Andrzej J. Nowak, Derek B. Ingham, and Anna M. Fic. "An overview of recent applications of computational modelling in neonatology." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1920 (June 13, 2010): 2817–34. http://dx.doi.org/10.1098/rsta.2010.0052.
Full textQi, Ji, Jiafeng Lv, Zhen Li, Wei Bian, Jingfeng Li, and Shuqin Liu. "A Numerical Simulation of Membrane Distillation Treatment of Mine Drainage by Computational Fluid Dynamics." Water 12, no. 12 (December 3, 2020): 3403. http://dx.doi.org/10.3390/w12123403.
Full textKhongprom, Parinya, Supawadee Ratchasombat, Waritnan Wanchan, Panut Bumphenkiattikul, and Sunun Limtrakul. "Scaling of a catalytic cracking fluidized bed downer reactor based on computational fluid dynamics simulations." RSC Advances 10, no. 5 (2020): 2897–914. http://dx.doi.org/10.1039/c9ra10080f.
Full textDixon, Anthony G., and Behnam Partopour. "Computational Fluid Dynamics for Fixed Bed Reactor Design." Annual Review of Chemical and Biomolecular Engineering 11, no. 1 (June 7, 2020): 109–30. http://dx.doi.org/10.1146/annurev-chembioeng-092319-075328.
Full textOon, C. S., A. Badarudin, S. N. Kazi, and M. Fadhli. "Simulation of Heat Transfer to Turbulent Nanofluid Flow in an Annular Passage." Advanced Materials Research 925 (April 2014): 625–29. http://dx.doi.org/10.4028/www.scientific.net/amr.925.625.
Full textSharma, Shubham, Shalab Sharma, Mandeep Singh, Parampreet Singh, Rasmeet Singh, Sthitapragyan Maharana, Nima Khalilpoor, and Alibek Issakhov. "Computational Fluid Dynamics Analysis of Flow Patterns, Pressure Drop, and Heat Transfer Coefficient in Staggered and Inline Shell-Tube Heat Exchangers." Mathematical Problems in Engineering 2021 (June 1, 2021): 1–10. http://dx.doi.org/10.1155/2021/6645128.
Full textWei, Xing, Bingbing Duan, Xuejun Zhang, Yang Zhao, Meng Yu, and Youming Zheng. "Numerical Simulation of Heat and Mass Transfer in Air-Water Direct Contact Using Computational Fluid Dynamics." Procedia Engineering 205 (2017): 2537–44. http://dx.doi.org/10.1016/j.proeng.2017.10.218.
Full textChen, Long, and Binxin Wu. "Research Progress in Computational Fluid Dynamics Simulations of Membrane Distillation Processes: A Review." Membranes 11, no. 7 (July 7, 2021): 513. http://dx.doi.org/10.3390/membranes11070513.
Full textIto, Kazuhide, Koki Mitsumune, Kazuki Kuga, Nguyen L. Phuong, Kenji Tani, and Kiao Inthavong. "Prediction of convective heat transfer coefficients for the upper respiratory tracts of rat, dog, monkey, and humans." Indoor and Built Environment 26, no. 6 (August 1, 2016): 828–40. http://dx.doi.org/10.1177/1420326x16662111.
Full textDissertations / Theses on the topic "Heat and mass transfer (incl. computational fluid dynamics)"
Reichrath, Sven. "Convective heat and mass transfer in glasshouses." Thesis, University of Exeter, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391213.
Full textBurt, Andrew C. "A computational study of mixing in stratified liquid-liquid flows using analogy between heat and mass transfer." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=1948.
Full textTitle from document title page. Document formatted into pages; contains x, 76 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 71-72).
Guardo, Zabaleta Alfredo. "Computational Fluid Dynamics Studies in Heat and Mass Transfer Phenomena in Packed Bed Extraction and Reaction Equipment: Special Attention to Supercritical Fluids Technology." Doctoral thesis, Universitat Politècnica de Catalunya, 2007. http://hdl.handle.net/10803/6455.
Full textLa Dinámica de Fluidos Computacional (CFD) como herramienta de modelado numérico permite obtener una visión mas aproximada y realista de los fenómenos de flujo de fluidos y los mecanismos de transferencia de calor y masa en lechos empacados, a través de la resolución de las ecuaciones de Navier - Stokes acopladas con los balances de materia y energía y con un modelo de turbulencia si es necesario. De esta forma, esta herramienta permite obtener los valores medios y/o fluctuantes de variables como la velocidad del fluido, la temperatura o la concentración de una especie en cualquier punto de la geometría del lecho empacado.
El objetivo de este proyecto es el de utilizar programas comerciales de simulación CFD para resolver el flujo de fluidos y la transferencia de calor y de masa en modelos bi/tri dimensionales de lechos empacados, desarrollando una estrategia de modelado aplicable al diseño de equipos para procesos de extracción o de reacción catalítica. Como referencia se tomaran procesos de tecnología supercrítica debido a la complejidad de los fenómenos de transporte involucrados en estas condiciones, así como a la disponibilidad de datos experimentales obtenidos previamente en nuestro grupo de investigación. Estos datos experimentales se utilizan como herramienta de validación de los modelos numéricos generados, y de las estrategias de simulación adoptadas y realizadas durante el desarrollo de este proyecto.
An understanding of the heat and mass transfer phenomena in a porous media implies the study of the fluid transport model within the void space; this fact is of fundamental importance to many chemical engineering systems such as packed bed extraction or catalytic reaction equipment. Experimental and theoretical studies of flow through such systems often treat the porous medium as an effectively homogeneous system and concentrate on the bulk properties of the flow. Such an approach neglects completely the complexities of the flow within the void space of the porous medium, reducing the description of the problem to macroscopic average or effective quantities. The details of this local flow process may, however, be the most important factor influencing the behavior of a given physical process occurring within the system, and are crucial to understanding the detailed mechanisms of, for example, heat and mass dispersion and interface transport.
Computational Fluid Dynamics as a simulation tool allows obtaining a more approached view of the fluid flow and heat and mass transfer mechanisms in fixed bed equipment, through the resolution of 3D Reynolds averaged transport equations, together with a turbulence model when needed. In this way, this tool permit to obtain mean and fluctuating flow and temperature values in any point of the bed.
The goal of this project is to use commercial available CFD codes for solving fluid flow and heat and mass transfer phenomena in two and three dimensional models of packed beds, developing a modeling strategy applicable to the design of packed bed chemical reaction and extraction equipment. Supercritical extraction and supercritical catalytic reaction processes will be taken as reference processes due to the complexity of the transport phenomena involved within this processes, and to the availability of experimental data in this field, obtained in the supercritical fluids research group of this university. The experimental data priory obtained by our research group will be used as validation data for the numerical models and strategies dopted and followed during the developing of the project.
Srinivasan, Raghavan. "CFD Heat Transfer Simulation of the Human Upper Respiratory Tract for Oronasal Breathing Condition." Thesis, North Dakota State University, 2011. https://hdl.handle.net/10365/29310.
Full textBhopte, Siddharth. "Study of transport processes from macroscale to microscale." Diss., Online access via UMI:, 2009.
Find full textIncludes bibliographical references.
Ho, Son Hong. "Numerical modeling and simulation for analysis of convective heat and mass transfer in cryogenic liquid storage and HVAC&R applications." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002266.
Full textHo, Son Hong. "Numerical simulation of thermal comfort and contaminant transport in air conditioned rooms." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000548.
Full textWu, Dan. "A numerical study of periciliary liquid depth in MDCT-based human airway models." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1804.
Full text(9832871), Abu Sayem. "Experimental study of electrostatic precipitator of a coal based power plant to improve performance by capturing finer particles." Thesis, 2019. https://figshare.com/articles/thesis/Experimental_study_of_electrostatic_precipitator_of_a_coal_based_power_plant_to_improve_performance_by_capturing_finer_particles/13408691.
Full text(14042749), Shah M. E. Haque. "Performance study of the electrostatic precipitator of a coal fired power plant: Aspects of fine particulate emission control." Thesis, 2009. https://figshare.com/articles/thesis/Performance_study_of_the_electrostatic_precipitator_of_a_coal_fired_power_plant_Aspects_of_fine_particulate_emission_control/21454428.
Full textParticulate matter emission is one of the major air pollution problems of coal fired power plants. Fine particulates constitute a smaller fraction by weight of the total suspended particle matter in a typical particulate emission, but they are considered potentially hazardous to health because of the high probability of deposition in deeper parts of the respiratory tract. Electrostatic precipitators (ESP) are the most widely used devices that are capable of controlling particulate emission effectively from power plants and other process industries. Although the dust collection efficiency of the industrial precipitator is reported as about 99.5%, an anticipation of future stricter environmental protection agency (EPA) regulations have led the local power station seeking new technologies to achieve the new requirements at minimum cost and thus control their fine particulate emissions to a much greater degree than ever before.
This study aims to identify the options for controlling fine particle emission through improvement of the ESP performance efficiency. An ESP system consists of flow field, electrostatic field and particle dynamics. The performance of an ESP is significantly affected by its complex flow distribution arising as a result of its complex internal geometry, hence the aerodynamic characteristics of the flow inside an ESP always need considerable attention to improve the efficiency of an ESP. Therefore, a laboratory scale ESP model, geometrically similar to an industrial ESP, was designed and fabricated at the Thermodynamics Laboratory of CQUniversity, Australia to examine the flow behaviour inside the ESP. Particle size and shape morphology analyses were conducted to reveal the properties of the fly ash particles which were used for developing numerical models of the ESP.
Numerical simulations were carried out using Computational Fluid Dynamics (CFD) code FLUENT and comparisons were made with the experimental results. The ESP was modelled in two steps. Firstly, a novel 3D fluid (air) flow was modelled considering the detailed geometrical configuration inside the ESP. A novel boundary condition was applied at the inlet boundary of this model to overcome all previous assumptions on uniform velocity at the inlet boundary. Numerically predicted velocity profiles inside the ESP model are compared with the measured data obtained from the laboratory experiment. The model with a novel boundary condition predicted the flow distribution more accurately. In the second step, as the complete ESP system consists of an electric field and a particle phase in addition to the fluid flow field, a two dimensional ESP model was developed. The electrostatic force was applied to the flow equations using User Defined Functions (UDF). A discrete phase model was incorporated with this two dimensional model to study the effect of particle size, electric field and flue gas flow on the collection efficiency of particles inside the ESP. The simulated results revealed that the collection efficiency cannot be improved by the increased electric force only unless the flow velocity is optimized.
The CFD model was successfully applied to a prototype ESP at the power plant and used to recommend options for improving the efficiency of the ESP. The aerodynamic behaviour of the flow was improved by geometrical modifications in the existing 3D numerical model. In particular, the simulation was performed to improve and optimize the flow in order to achieve uniform flow and to increase particle collection inside the ESP. The particles injected in the improved flow condition were collected with higher efficiency after increasing the electrostatic force inside the 2D model. The approach adopted in this study to optimize flow and electrostatic field properties is a novel approach for improving the performance of an electrostatic precipitator.
Books on the topic "Heat and mass transfer (incl. computational fluid dynamics)"
International Symposium on Computational Fluid Dynamics and Heat/Mass Transfer Modeling in the Metallugical Industry (1996 Montreal, Quebec). Computational fluid dynamics and heat/mass transfer modeling in the metallurgical industry: Proceedings of the international symposium. Montreal, Qué: Metallurgical Society of the Canadian Institute of Mining Metallurgy and Petroleum, 1996.
Find full textYarin, L. P. The Pi-Theorem: Applications to Fluid Mechanics and Heat and Mass Transfer. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textLuo, Lingai. Heat and Mass Transfer Intensification and Shape Optimization: A Multi-scale Approach. London: Springer London, 2013.
Find full textRigby, David L. Prediction of heat and mass transfer in a rotating ribbed coolant passage with a 180 degree turn. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1999.
Find full textGuo, Weidong. The Application of the Chebyshev-Spectral Method in Transport Phenomena. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textMajumdar, Pradip. Computational Fluid Dynamics and Heat Transfer, Second Edition. Taylor & Francis Group, 2021.
Find full textMajumdar, Pradip. Computational Fluid Dynamics and Heat Transfer, Second Edition. Taylor & Francis Group, 2019.
Find full textComputational Fluid Dynamics and Heat Transfer, Second Edition. Taylor & Francis Group, 2019.
Find full textMajumdar, Pradip. Computational Fluid Dynamics and Heat Transfer, Second Edition. Taylor & Francis Group, 2021.
Find full textMajumdar, Pradip. Computational Fluid Dynamics and Heat Transfer, Second Edition. Taylor & Francis Group, 2021.
Find full textBook chapters on the topic "Heat and mass transfer (incl. computational fluid dynamics)"
Yu, Kuo-Tsong, and Xigang Yuan. "Related Field (I): Fundamentals of Computational Fluid Dynamics." In Heat and Mass Transfer, 1–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53911-4_1.
Full textChaurasia, Ashish S. "Heat and Mass Transfer Processes in 2D and 3D." In Computational Fluid Dynamics and Comsol Multiphysics, 199–256. Boca Raton: Apple Academic Press, 2021. http://dx.doi.org/10.1201/9781003180500-5.
Full text"Calculations of Flows with Heat and Mass Transfer." In Computational Thermo-Fluid Dynamics, 85–113. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527636075.ch4.
Full textAbou-Ellail, Mohsen M. M., Yuan Li, and Timothy W. Tong. "2 Higher-order numerical schemes for heat, mass, and momentum transfer in fluid flow." In Computational Fluid Dynamics and Heat Transfer, 19–60. WIT Press, 2010. http://dx.doi.org/10.2495/978-1-84564-144-3/02.
Full text"CFD Modeling of Simultaneous Heat and Mass Transfer in Beef Chilling." In Computational Fluid Dynamics in Food Processing, 213–40. CRC Press, 2007. http://dx.doi.org/10.1201/9781420009217-13.
Full textJavier Trujillo, Francisco, and Q. Tuan Pham. "CFD Modeling of Simultaneous Heat and Mass Transfer in Beef Chilling." In Computational Fluid Dynamics in Food Processing, 195–221. CRC Press, 2007. http://dx.doi.org/10.1201/9781420009217.ch8.
Full textO. Quadri, Mubashir, Matthew N. Ottah, Olayinka Omowunmi Adewumi, and Ayowole A. Oyediran. "Scaling Investigation of Low Prandtl Number Flow and Double Diffusive Heat and Mass Transfer over Inclined Walls." In Computational Fluid Dynamics Simulations. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.90896.
Full textPeralta, Juan Manuel, and Susana E. Zorrilla. "CFD Modeling of Heat and Mass Transfer in a Hydrofluidization System During Food Chilling and Freezing." In Computational Fluid Dynamics in Food Processing, 87–104. CRC Press, 2018. http://dx.doi.org/10.1201/9781351263481-4.
Full textYaïci, Wahiba, and Evgueniy Entchev. "Unsteady CFD with Heat and Mass Transfer Simulation of Solar Adsorption Cooling System for Optimal Design and Performance." In Advanced Computational Fluid Dynamics for Emerging Engineering Processes - Eulerian vs. Lagrangian. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.81144.
Full textCastellano, Leonardo, Nicoletta Sala, Angelo Rolla, and Walter Ambrosetti. "The Residence Time of the Water in Lake MAGGIORE. Through an Eulerian-Lagrangian Approach." In Complexity Science, Living Systems, and Reflexing Interfaces, 218–34. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2077-3.ch011.
Full textConference papers on the topic "Heat and mass transfer (incl. computational fluid dynamics)"
Pathak, Kedar, and Kendrick Aung. "Numerical Simulations of Dynamics of a Tunnel Fire." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56154.
Full textHawkes, Grant L., James E. O’Brien, and Greg G. Tao. "3D CFD Electrochemical and Heat Transfer Model of an Internally Manifolded Solid Oxide Electrolysis Cell." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62582.
Full textMcConnell, Jonathan, Tuhin Das, Andres Caesar, James Hoy, and Prithvi Veeravalli. "Multi-Physics Dynamic Modeling and Transient Simulation of a Multi-Stage Heat Recovery Steam Generator (HRSG)." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9084.
Full textHawkes, Grant, and Russell Jones. "CFD Model of a Planar Solid Oxide Electrolysis Cell: Base Case and Variations." In ASME/JSME 2007 Thermal Engineering Heat Transfer Summer Conference collocated with the ASME 2007 InterPACK Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ht2007-32310.
Full textHawkes, Grant, Jim O’Brien, Carl Stoots, Steve Herring, and Mehrdad Shahnam. "Thermal and Electrochemical Three Dimensional CFD Model of a Planar Solid Oxide Electrolysis Cell." In ASME 2005 Summer Heat Transfer Conference collocated with the ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems. ASMEDC, 2005. http://dx.doi.org/10.1115/ht2005-72565.
Full textWinter, S. L., C. G. Bailey, and D. D. Apsley. "Computational Fluid Dynamics Modelling of Compartment Fires." In Turbulence, Heat and Mass Transfer 5. Proceedings of the International Symposium on Turbulence, Heat and Mass Transfer. New York: Begellhouse, 2006. http://dx.doi.org/10.1615/ichmt.2006.turbulheatmasstransf.1310.
Full textAbeykoon, Chamil. "Modelling of Heat Exchangers with Computational Fluid Dynamics." In 8th International Conference on Fluid Flow, Heat and Mass Transfer (FFHMT'21). Avestia Publishing, 2021. http://dx.doi.org/10.11159/ffhmt21.127.
Full textJamaleddine, Tarek J., and Ramsey Bunama. "Simulation of Flow Field Past Symmetrical Aerofoil Baffles Using Computational Fluid Dynamics Method." In International Conference of Fluid Flow, Heat and Mass Transfer. Avestia Publishing, 2017. http://dx.doi.org/10.11159/ffhmt17.120.
Full textWu, B., G. H. Chen, D. Fu, John Moreland, Chenn Q. Zhou, Liejin Guo, D. D. Joseph, Y. Matsumoto, Y. Sommerfeld, and Yueshe Wang. "Integration of Virtual Reality with Computational Fluid Dynamics for Process Optimization." In THE 6TH INTERNATIONAL SYMPOSIUM ON MULTIPHASE FLOW, HEAT MASS TRANSFER AND ENERGY CONVERSION. AIP, 2010. http://dx.doi.org/10.1063/1.3366338.
Full textLee, Sungsu, Kyung-Soo Yang, and Jong-Yeon Hwang. "An Aid to Learn Computational Fluid Dynamics: Immersed-Boundary-Based Simulation of 2D Flow." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56281.
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