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Статті в журналах з теми "Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)"
Drikakis, Dimitris, Michael Frank, and Gavin Tabor. "Multiscale Computational Fluid Dynamics." Energies 12, no. 17 (August 25, 2019): 3272. http://dx.doi.org/10.3390/en12173272.
Повний текст джерелаDixon, 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.
Повний текст джерелаKhongprom, 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.
Повний текст джерелаOzcan-Coban, Seda, Fatih Selimefendigil, Hakan Oztop, and Arif Hepbasli. "A review on computational fluid dynamics simulation methods for different convective drying applications." Thermal Science, no. 00 (2022): 70. http://dx.doi.org/10.2298/tsci220225070o.
Повний текст джерелаSawada, Ikuo, Hiroyuki Tanaka, and Masahiro Tanaka. "Status of Computational Fluid Dynamics and Its Application to Materials Manufacturing." MRS Bulletin 19, no. 1 (January 1994): 14–19. http://dx.doi.org/10.1557/s088376940003880x.
Повний текст джерелаOon, 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.
Повний текст джерелаEkaroek Phumnok, Waritnan Wanchan, Matinee Chuenjai, Panut Bumphenkiattikul, Sunun Limtrakul, Sukrittira Rattanawilai, and Parinya Khongprom. "Study of Hydrodynamics and Upscaling of Immiscible Fluid Stirred Tank using Computational Fluid Dynamics Simulation." CFD Letters 14, no. 6 (June 26, 2022): 115–33. http://dx.doi.org/10.37934/cfdl.14.6.115133.
Повний текст джерелаKhan, Sabuddin, H. C. Thakur, and Nazeem Khan. "A Computational Fluid Dynamic Study of Shell and Tube Heat Exchanger Using (CuO, Al2O3, TiO2)-Water Nanofluids." Advanced Science, Engineering and Medicine 12, no. 12 (December 1, 2020): 1462–67. http://dx.doi.org/10.1166/asem.2020.2585.
Повний текст джерелаChen, Huajun, Yitung Chen, Hsuan-Tsung Hsieh, and Nathan Siegel. "Computational Fluid Dynamics Modeling of Gas-Particle Flow Within a Solid-Particle Solar Receiver." Journal of Solar Energy Engineering 129, no. 2 (August 25, 2006): 160–70. http://dx.doi.org/10.1115/1.2716418.
Повний текст джерелаSharma, 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.
Повний текст джерелаДисертації з теми "Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)"
Bhopte, Siddharth. "Study of transport processes from macroscale to microscale." Diss., Online access via UMI:, 2009.
Знайти повний текст джерелаIncludes bibliographical references.
Ho, 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.
Повний текст джерела(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.
Повний текст джерела(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.
Повний текст джерелаParticulate 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.
(5929775), Kenny Sy Hu. "Large-Eddy Simulation And RANS Studies Of The Flow And Heat Transfer In A U-Duct With Trapezoidal Cross Section." Thesis, 2019.
Знайти повний текст джерела(11002410), Ziyang Huang. "CONSISTENT AND CONSERVATIVE PHASE-FIELD METHOD FOR MULTIPHASE FLOW PROBLEMS." Thesis, 2021.
Знайти повний текст джерелаΤζεμπελίκος, Δημήτριος. "Υπολογιστική και πειραματική διερεύνηση φαινομένων μεταφοράς μάζας και θερμότητας σε πρότυπη εργαστηριακή εγκατάσταση μηχανικής ξήρανσης". Thesis, 2015. http://hdl.handle.net/10889/8598.
Повний текст джерелаThe objective subject of this thesis is the computational and experimental investigation of heat and mass transfer phenomena in a new laboratory mechanical convection drying unit, which was designed, constructed and equipped with measuring equipment and an integrated control system of collection and processing of experimental measurements. In laboratory drying unit there is an option to change and control the main parameters of which affected the thermal drying process, such as speed, temperature and humidity of the drying air. Measurement of the removal of moisture content in the dried product is carried out through high-precision load cells, and the spatial distribution of the flow velocity at the entrance of the drying chamber during of each experiment, is continuously measured by pitot tube array and a system composed of solenoids and a pressure transducer. The spatial distribution of temperature and velocity in the drying chamber is possible by means of sensors fitted to a computer controlled cartesian motion system which is designed, constructed and placed at the outlet of the vertical drying chamber, constituting an integral part of the facility. All measurements were performed on the vertical drying chamber while it is possible to conduct measurements in a horizontal layout of the drying chamber. In this thesis became systematic experimental investigation of convective drying sliced quince and studied the effect of various parameters affecting the thermal drying process in this agricultural product, for air temperatures of 40, 50 and 60°C and air velocities 1, 2 and 3 m/s. The purpose of the measurements was to determine: (i) the effect of temperature and air velocity in drying curves of cylindrical quince slice, (ii) the effect of the thickness of the cylindrical slice of quince in drying curves, (iii) the effect of the orientation of the cylindrical quince slice, in the direction of incident flow, in the drying curves (iv) the adjusting of the drying curves in several simple thin layer drying models v) the effective moisture diffusivity coefficients for each case with the slope method which correlated with the temperature of the drying air so that the diffusion coefficient of moisture be expressed by Arrhenius type equation form and vi ) the interfacial heat and mass transfer coefficients which expressed as a function of dimensionless numbers Nu, Re and Pr in the form Nu = aRebPr1/3. The simulation of the flow and temperature fields in the drying chamber and the calcu-lation of the interfacial heat and mass transfer coefficients around the surface of the product were performed using the tools of Computational Fluid Dynamics (CFD). CFD simulations were steady state, considering turbulent flow while drying chamber and cy-lindrical slice of quince specialized as an axisymmetric two-dimensional configuration. As turbulence model was used the SST k-ω model while on the approximation of the boundary layer near the walls of the product the LRNM was chosen. By solving the flow and temperature fields determined distributions of interfacial heat and mass transfer coefficients in front and rear of the cylindrical slice of quince for all experimental conditions. The calculation of the weighted average prices of the interfacial heat transfer coefficient indicates a correlation between dimensionless numbers Nu, Re and Pr, in the form Nu = aRebPr1/3, which as finding enriches the existing literature. In the final stage of the thesis, developed and evaluated in comparison with the experi-mental measurements, a one-dimensional transient numerical model of heat and mass transfer to simulate drying curves in cylindrical slices of quince. The heat transfer inside the quince is considered to be by conduction while the moisture transfer is considered to be governed solely by liquid diffusion. Evaporation is considered to take place only from the windward and leeward surface of the quince slice. The numerical model takes into account the shrinkage of the cylindrical slice of quince, assuming that the cylindrical volume decreases each time as much as the volume of water that evaporates on both surfaces of the slice. The numerical code used the thermophysical properties of quince and air from the literature, the effective diffusion coefficient of moisture experimentally determined by the method of the slopes, while the transfer coefficients used the weighted average prices of interfacial heat and mass transfer coefficients derived from the simulations with CFD (non-conjugated approach). In order to achieve higher accuracy between experimental data and predictions, a non-linear regression analysis, using an Arrhenius type effective diffusion equation, was also performed. However, preliminary result, obtained using the SQP (Sequential Quadratic Programming) and Interior Point algorithms for the minimization of the Chi-square function (χ2) showed only small improvement of the calculated results with a significant increase of the computational cost. In conclusion, the overall assessment of the results of the numeric code shown that the proposed numerical model based on diffusion is able to effectively describe the coupling of heat transfer and mass, as to capture the time evolution of moisture content and temperature within the product, with minimum use of experimental input variables and minimum computational requirements. For these reasons it may be considered appropriate to analyze the convective drying process in any organic or non-organic product.
Книги з теми "Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)"
Numerical simulation of fluid flow and heat/mass transfer processes. Berlin: Springer-Verlag, 1986.
Знайти повний текст джерелаL, Rigby D., and NASA Glenn Research Center, eds. A numerical analysis of heat transfer and effectiveness on film cooled turbine blade tip models. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.
Знайти повний текст джерелаS, El-Genk Mohamed, and United States. National Aeronautics and Space Administration., eds. "HPTAM", a two-dimensional heat pipe transient analysis model, including the startup from a frozen state: Final report no. UNM-ISNPS-4-1995. Albuquerque, N.M: Institute for Space and Nuclear Power Studies, School of Engineering, University of New Mexico, 1995.
Знайти повний текст джерела"HPTAM", a two-dimensional heat pipe transient analysis model, including the startup from a frozen state: Final report no. UNM-ISNPS-4-1995. Albuquerque, N.M: Institute for Space and Nuclear Power Studies, School of Engineering, University of New Mexico, 1995.
Знайти повний текст джерела"HPTAM", a two-dimensional heat pipe transient analysis model, including the startup from a frozen state: Final report no. UNM-ISNPS-4-1995. Albuquerque, N.M: Institute for Space and Nuclear Power Studies, School of Engineering, University of New Mexico, 1995.
Знайти повний текст джерелаЧастини книг з теми "Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)"
Abou-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.
Повний текст джерелаO. 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.
Повний текст джерелаCastellano, 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.
Повний текст джерелаТези доповідей конференцій з теми "Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)"
Johnson, Richard W., and Hugh M. McIlroy. "CFD Simulation of Proposed Validation Data for a Flow Problem Reconfigured to Eliminate an Undesirable Flow Instability." In ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-30522.
Повний текст джерелаAbeykoon, 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.
Повний текст джерелаJamaleddine, 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.
Повний текст джерелаWu, 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.
Повний текст джерелаLee, 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.
Повний текст джерелаSundén, Bengt. "On Computational Heat Transfer in Industrial Applications." In ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ht2013-17289.
Повний текст джерелаCunha, Ana M. F., Jose´ C. F. Teixeira, and Senhorinha F. C. F. Teixeira. "Computational Fluid Dynamics Applicable to Cloth Design." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-13042.
Повний текст джерелаEveloy, Vale´rie, Peter Rodgers, and M. S. J. Hashmi. "An Experimental Assessment of Computational Fluid Dynamics Predictive Accuracy for Electronic Component Operational Temperature." In ASME 2003 Heat Transfer Summer Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/ht2003-47282.
Повний текст джерелаRajguru, Megha, Jaspal Singh, Manoj Kansal, and Mukesh Singhal. "3D Computational Fluid Dynamics Analysis to Predict the Flow Distribution around the Fuel Locator of IPHWR." In Proceedings of the 25th National and 3rd International ISHMT-ASTFE Heat and Mass Transfer Conference (IHMTC-2019). Connecticut: Begellhouse, 2019. http://dx.doi.org/10.1615/ihmtc-2019.1020.
Повний текст джерелаWang, Yechun, and Panagiotis Dimitrakopoulos. "Computational Studies of Interfacial Dynamics in Microfluidics via a 3D Spectral Boundary Integral Algorithm." In ASME 2009 Second International Conference on Micro/Nanoscale Heat and Mass Transfer. ASMEDC, 2009. http://dx.doi.org/10.1115/mnhmt2009-18556.
Повний текст джерела