Relevant bibliographies by topics / Computational heat transfer

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computational heat transfer'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 January 2023

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Journal articles on the topic "Computational heat transfer"

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Jaluria, Y., and K. E. Torrance. "Computational Heat Transfer." Journal of Pressure Vessel Technology 109, no. 2 (May 1, 1987): 262. http://dx.doi.org/10.1115/1.3264911.

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Jaluria, Yogesh, and Satya N. Atluri. "Computational heat transfer." Computational Mechanics 14, no. 5 (August 1994): 385–86. http://dx.doi.org/10.1007/bf00377593.

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Schmidt, F. W. "Computational heat transfer." International Journal of Heat and Fluid Flow 8, no. 4 (December 1987): 336. http://dx.doi.org/10.1016/0142-727x(87)90071-3.

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Sundén, Bengt. "Computational Heat Transfer in Heat Exchangers." Heat Transfer Engineering 28, no. 11 (November 2007): 895–97. http://dx.doi.org/10.1080/01457630701421661.

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Narayana, Vikram K., Olivier Serres, Jason Lau, Stuart Licht, and Tarek El-Ghazawi. "Towards a Computational Model for Heat Transfer in Electrolytic Cells." International Journal of Computer Theory and Engineering 6, no. 3 (2014): 215–19. http://dx.doi.org/10.7763/ijcte.2014.v6.865.

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Wrobel, L. C. "Computational techniques in heat transfer." Engineering Analysis 4, no. 1 (March 1987): 51–52. http://dx.doi.org/10.1016/0264-682x(87)90035-9.

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de Vahl Davis, Graham, and Eddie Leonardi. "Advances in Computational Heat Transfer." International Journal for Numerical Methods in Fluids 50, no. 11 (2006): 1295. http://dx.doi.org/10.1002/fld.1206.

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Patankar, S. V. "Recent Developments in Computational Heat Transfer." Journal of Heat Transfer 110, no. 4b (November 1, 1988): 1037–45. http://dx.doi.org/10.1115/1.3250608.

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Recent developments in computational methods for heat transfer and fluid flow are reviewed. Emphasis is given to the treatment of convection and diffusion and solution of flow equations. Also, some interesting applications of the methods are mentioned. Whereas many attractive methods have been formulated in recent years, there exists no clear consensus about a preferred method. Careful and controlled evaluations of different methods are required. This and other tasks for future research are outlined.
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I., E., Dale A. Anderson, John C. Tannehill, and Richard H. Pletcher. "Computational Fluid Mechanics and Heat Transfer." Mathematics of Computation 46, no. 174 (April 1986): 764. http://dx.doi.org/10.2307/2008017.

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Schmidt, Frank W. "Computational fluid mechanics and heat transfer." International Journal of Heat and Fluid Flow 7, no. 3 (September 1986): 239. http://dx.doi.org/10.1016/0142-727x(86)90028-7.

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Dissertations / Theses on the topic "Computational heat transfer"

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Harish, J. "Computational Modelling Of Heat Transfer In Reheat Furnaces." Thesis, Indian Institute of Science, 2000. http://hdl.handle.net/2005/234.

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Furnaces that heat metal parts (blooms) prior to hot-working processes such as rolling or forging are called pre-forming reheat furnaces. In these furnaces, the fundamental idea is to heat the blooms to a prescribed temperature without very large temperature gradients in them. This is to ensure correct performance of the metal parts subsequent to reheating. Due to the elevated temperature in the furnace chamber, radiation is the dominant mode of heat transfer from the furnace to the bloom. In addition, there is convection heat transfer from the hot gases to the bloom. The heat transfer within the bloom is by conduction. In order to design a new furnace or to improve the performance of existing ones, the heat transfer analysis has to be done accurately. Given the complex geometry and large number of parameters encountered in the furnace, an analytical solution is difficult, and hence numerical modeling has to be resorted to. In the present work, a numerical technique for modelling the steady-state and transient heat transfer in a reheat furnace is developed. The work mainly involves the development of a radiation heat transfer analysis code for a reheat furnace, since a major part of the heat transfer in the furnace chamber is due to radiation from the roof and combustion gases. The code is modified from an existing finite volume method (FVM) based radiation heat transfer solver, The existing solver is a general purpose radiation heat transfer solver for enclosures and incorporates the following features: surface-to-surface radiation, gray absorbing-emitting medium in the enclosure, multiple reflections off the bounding walls, shadowing effects due to obstructions in the enclosure, diffuse reflection and enclosures with irregular geometry. As a part of the present work, it has now been extended to include the following features that characterise radiation heat transfer in the furnace chamber · Combination of specular and diffuse reflection as is the case with most real surfaces · Participating non-gray media, as the combustion gases in the furnace chamber exhibit highly spectral radiative characteristics Transient 2D conduction heat transfer within the metal part is then modelled using a FVM-based code. Radiation heat flux from the radiation model and convection heat flux calculated using existing correlations act as boundary conditions for the conduction model. A global iteration involving the radiation model and the conduction model is carried out for the overall solution. For the study, two types of reheat furnaces were chosen; the pusher-type furnace and the walking beam furnace. The difference in the heating process of the two furnaces implies that they have to be modelled differently. In the pusher-type furnace, the heating of the blooms is only from the hot roof and the gas. In the walking beam furnace, the heating is also from the hearth and the blooms adjacent to any given bloom. The model can predict the bloom residence time for any particular combination of furnace conditions and load dimensions. The effects of variations of emissivities of the load, thickness of the load and the residence time of billet in the furnaces were studied.
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Zu, Yingqing. "Computational modelling of complex flow and heat transfer." Thesis, University of Nottingham, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.537819.

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Huzayyin, Omar A. "Computational Modeling of Convective Heat Transfer in Compact and Enhanced Heat Exchangers." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313754781.

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Jahedi, Mohammad. "Computational study of multiple impinging jets on heat transfer." Thesis, Högskolan i Gävle, Avdelningen för bygg- energi- och miljöteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13791.

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This numerical study presents investigation of impinging jets cooling effect on a hot flat plate. Different configuration of single jet, 5-cross and 9-square setups have been studied computationally in order to understand about their behaviour and differences behind their physics. Moreover, a specific confined wall was designed to increase two crucial parameters of the cooling effect of impinging jets; average heat transfer coefficient of impingement wall and average air temperature difference of outlet the domain and jet inlet. The 2-D simulation has been performed to design the confined wall to optimise the domain geometry  to achieve project goals contains highest average heat transfer coefficient of hot plate in parallel to highest average air temperature difference of outlet. Different effective parameters were chosen after 2-D simulation study and literature review; Jet to wall distance H/D = 5, Radial distance from centre of plate R/D = 20, jet diameter D = 10 mm. The 3-D computational study was performed on single jet, 5-cross and 9-square configurations to investigate the differences of results and find best setup for the specific boundary condition in this project. Single jet geometry reveals high temperature level in the outlet, but very low average heat transfer coefficient due to performance of a single jet in a domain (Re= 17,232). In the other side, 5-cross setup has been studied for Reynolds number of 9,828, 11,466, 17,232 and 20,000 and it was found that range of 11,466 to 17,232 performs very well to achieve the purposes in this study. Moreover, turbulence models of ,  and  have been used to verify the models (Re=17,232) with available experimental data for fully developed profile of the jets inlets and wall jet velocity and Reynolds stress components near the wall boundary condition. All three turbulence models predict well   the velocity components for jets fully developed profile and for wall boundary condition of the target plate. But since  model has been validated with the Reynolds stress components by experimental data, therefore is more reliable to continue the study with verified simulation. Finally 9-square configuration was investigated (Re=17,232) and the result compared with other setups. It was concluded that 5-cross multiple jets is best design for this project while 9-square multiple impinging jets also fulfils the project purpose, but for extended application in industry each setup is suitable for specific conditions. 5-cross multiple jets is good choice for large cooling area which can be used in number of packages to cover the area, while 9-square jets setup performs well where very high local heat transfer is needed in a limited area.
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Iyer, Kaushik A. "Quantitative characterization of thermophysical properties in computational heat transfer." Full text open access at:, 1993. http://content.ohsu.edu/u?/etd,273.

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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.

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Soria, Guerrero Manel. "Parallel multigrid algorithms for computational fluid dynamics and heat transfer." Doctoral thesis, Universitat Politècnica de Catalunya, 2000. http://hdl.handle.net/10803/6678.

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The main purpose of the dissertation is to contribute to the development of numerical techniques for computational heat transfer and fluid flow, suitable for low cost (loosely coupled) parallel computers. It is focused on implicit integration schemes, using finite control volumes with multigrid (MG) algorithms.

Natural convection in closed cavities is used as a problem model to introduce different aspects related with the integration of the incompressible Navier-Stokes equations, such as the solution of the pressure correction (or similar) equations that is the bottleneck of the algorithms for parallel computers. The main goal of the dissertation has been to develop new algorithms to advance in the solution of this problem rather than to implement a complete parallel CFD code.

An overview of different sequential multigrid algorithms is presented, pointing out the difference between geometric and algebraic multigrid. A detailed description of segregated ACM is given. The direct simulation of a turbulent natural convection flow is presented as an application example. A short description of the coupled ACM variant is given.

Background information of parallel computing technology is provided and the the key aspects for its efficient use in CFD are discussed. The limitations of low cost, loosely coupled cost parallel computers (high latency and low bandwidth) are introduced. An overview of different control-volume based PCFD and linear equation solvers is done. As an example, a code to solve reactive flows using Schwartz Alternating Method that runs particularly well on Beowulf clusters is given.

Different alternatives for latency-tolerant parallel multigrid are examined, mainly the DDV cycle proposed by Brandt and Diskin in a theoretical paper. One of its main features is that, supressing pre-smoothing, it allows to reduce the each-to-neighbours communications to one per MG iteration. In the dissertation, the cycle is extended to two-dimensional domain decompositions. The effect of each of its features is separately analyzed, concluding that the use of a direct solver for the coarsest level and the overlapping areas are important aspects. The conclusion is not so clear respect to the suppression of the pre-smoothing iterations.

A very efficient direct method to solve the coarser MG level is needed for efficient parallel MG. In this work, variant of the Schur complement algorithm, specific for relatively small, constant matrices has been developed. It is based on the implicit solution of the interfaces of the processors subdomains. In the implementation proposed in this work, a parallel evaluation and storage of the inverse of the interface matrix is used. The inner nodes of each domain are also solved with a direct algorithm. The resulting algorithm, after a pre-processing stage, allows a very efficient solution of pressure correction equations of incompressible flows in loosely coupled parallel computers.

Finally, all the elements presented in the work are combined in the DDACM algorithm, an algebraic MG equivalent to the DDV cycle, that is as a combination of a parallel ACM algorithm with BILU smoothing and a specific version of the Schur complement direct solver. It can be treated as a black-box linear solver and tailored to different parallel architectures.

The parallel algorithms analysed (different variants of V cycle and DDV) and developed in the work (a specific version of the Schur complement algorithm and the DDACM multigrid algorithm) are benchmarked using a cluster of 16 PCs with a switched 100 Mbits/s network.

The general conclusion is that the algorithms developed are suitable options to solve the pressure correction equation, that is the main bottleneck for the solution of implicit flows on loosely coupled parallel computers.
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Leathard, Matthew James. "Computational modelling of coolant heat transfer in internal combustion engines." Thesis, University of Bath, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248102.

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Vila, Verde A. S. A. "Computational study of defects and heat transfer in gold nanostructures." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1373500/.

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Gold nanoparticles are promising tools for cancer therapy and cell imaging due to their non-toxicity, high heat conduction and tunable optical properties for the infraredvisible region. Nanoparticles production often involves thermal annealing, a process that changes the structure of the nanoparticle by mechanisms that are not yet well understood. For any of the biomedical applications, the nanoparticles are organically-coated to allow targeting and efficient uptake by cancer cells. Once the nanoparticles are inside the cell, their optical tunability allows the use of specific wavelengths strongly absorbed or scattered by the particles but poorly interacting with the medium to induce hyperthermia or obtain an image of the cell. In any case, the nanoparticle is expected to heat up. Although the propagation of heat is well understood at the macroscale, the details of the heat transfer at the nanoscale are still poorly understood. In this work, we use classical, equilibrium molecular dynamics simulations to create nanoparticles and investigate how their crystalline structure and the number and type of defects evolves as a function of annealing conditions. We use both analytical methods and classical non-equilibrium molecular dynamics simulations to investigate the effects of the particle size and the type of interface on the heat transfer properties of bare and organic-coated gold nanoparticles embedded in water. Water was chosen to mimic the cellular medium because it is the most abundant cellular component. Our simulations with a slab system of water and gold suggest that the material present at the interface between the gold and the water affects the heat transfer in the system. Moreover, our analytical calculations and computational results indicate that the heat transfer is dominated by the heat conduction in the medium for large nanoparticles, while for smaller nanoparticles the interface controls the overall heat propagation.
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Iverson, Jared M. "Computational fluid dynamics validation of buoyant turbulent flow heat transfer." Thesis, Utah State University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1550153.

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Computational fluid dynamics (CFD) is commonly implemented in industry to perform fluid-flow and heat-transfer analysis and design. Turbulence model studies in literature show that fluid flows influenced by buoyancy still pose a significant challenge to modeling. The Experimental Fluid Dynamics Laboratory at Utah State University constructed a rotatable buoyancy wind tunnel to perform particle image velocimetry experiments for the validation of CFD turbulence models pertaining to buoyant heat-transfer flows. This study validated RANS turbulence models implemented within the general purpose CFD software STAR-CCM+, including the k – ε models: realizable two-layer, standard two-layer, standard low-Re, v2 – f, the k- ω models from Wilcox and Menter, and the Reynolds stress transport and Spalart - Allmaras models. The turbulence models were validated against experimental heat flux and velocity data in mixed and forced convection flows at mixed convection ratios in the range of 0.1 ≤ Gr/Re2 ≤ 0.8. The k- εε standard low-Re turbulence model was found most capable overall of predicting the fluid velocity and heat flux of the mixed convection flows, while mixed results were obtained for forced convection.

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Books on the topic "Computational heat transfer"

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Samarskiĭ, A. A. Computational heat transfer. Chichester: John Wiley & Sons, 1995.

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Samarskiĭ, A. A. Computational heat transfer. Chichester: Wiley, 1995.

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1940-, Torrance K. E., ed. Computational heat transfer. Washington, D.C: Hemisphere Pub. Corp., 1986.

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1936-, Anderson Dale A., and Pletcher Richard H, eds. Computational fluid mechanics and heat transfer. 2nd ed. Washington, DC: Taylor & Francis, 1997.

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Anderson, Dale A., John C. Tannehill, Richard H. Pletcher, Munipalli Ramakanth, and Vijaya Shankar. Computational Fluid Mechanics and Heat Transfer. Fourth edition. | Boca Raton, FL : CRC Press, 2020. | Series: Computational and physical processes in mechanics and thermal sciences: CRC Press, 2020. http://dx.doi.org/10.1201/9781351124027.

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1935-, Bradshaw P., ed. Physical and computational aspects of convective heat transfer. New York: Springer-Verlag, 1988.

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International Conference on Advanced Computational Methods in Heat Transfer (4th 1996 Udine, Italy). Advanced computational methods in heat transfer IV. Edited by Wrobel L. C. 1952-. Southampton: Computational Mechanics Publications, 1996.

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International Conference on Advanced Computational Methods in Heat Transfer (8th 2004 Lisbon, Portugal). Advanced computational methods in heat transfer VIII. Edited by Sundén Bengt, Brebbia C. A, and Mendes A. C. Southampton: WIT Press, 2004.

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International Conference on Advanced Computational Methods in Heat Transfer (2nd 1992 Milan, Italy). Advanced computational methods in heat transfer II. Edited by Wrobel L. C. 1952-, Brebbia C. A, and Nowak A. J. Southampton: Computational Mechanics Publications, 1992.

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Computational fluid dynamics and heat transfer: Emerging topics. Southampton: WIT, 2011.

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Book chapters on the topic "Computational heat transfer"

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Naterer, Greg F. "Computational Heat Transfer." In Advanced Heat Transfer, 451–513. 3rd ed. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003206125-10.

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Yu, Kuo-Tsong, and Xigang Yuan. "Basic Models of Computational Mass Transfer." In Heat and Mass Transfer, 29–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53911-4_3.

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Yu, Kuo-Tsung, and Xigang Yuan. "Basic Models of Computational Mass Transfer." In Heat and Mass Transfer, 1–49. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2498-6_1.

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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.

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Yu, Kuo-Tsong, and Xigang Yuan. "Related Field (II): Fundamentals of Computational Heat Transfer." In Heat and Mass Transfer, 19–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53911-4_2.

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Yu, Kuo-Tsong, and Xigang Yuan. "Application of Computational Mass Transfer (I): Distillation Process." In Heat and Mass Transfer, 85–143. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53911-4_4.

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Yu, Kuo-Tsong, and Xigang Yuan. "Application of Computational Mass Transfer (III): Adsorption Process." In Heat and Mass Transfer, 183–208. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53911-4_6.

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Yu, Kuo-Tsung, and Xigang Yuan. "Application of Computational Mass Transfer (I) Distillation Process." In Heat and Mass Transfer, 51–110. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2498-6_2.

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Yu, Kuo-Tsung, and Xigang Yuan. "Application of Computational Mass Transfer (III)—Adsorption Process." In Heat and Mass Transfer, 151–73. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2498-6_4.

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Yu, Kuo-Tsong, and Xigang Yuan. "Application of Computational Mass Transfer (II): Chemical Absorption Process." In Heat and Mass Transfer, 145–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53911-4_5.

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Conference papers on the topic "Computational heat transfer"

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Kočí, J., V. Kočí, J. Maděra, P. Rovnaníková, and R. Černý. "Computational analysis of hygrothermal performance of renovation renders." In HEAT TRANSFER 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/ht100231.

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Maděra, J., V. Kočí, J. Kočí, J. Výborný, and R. Černý. "Computational prediction of hygrothermal conditions in innovated AAC-based building envelopes." In HEAT TRANSFER 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/ht100251.

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Paz, M. C., J. Porteiro, A. Eirís, and E. Suárez. "Computational model for particle deposition in turbulent gas flows for CFD codes." In HEAT TRANSFER 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/ht100121.

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Mikhailov, Mikhail D. "COMPUTATIONAL HEAT TRANSFER WITH MATHEMATICA." In CHT'97 - Advances in Computational Heat Transfer. Proceedings of the International Symposium. Connecticut: Begellhouse, 1997. http://dx.doi.org/10.1615/ichmt.1997.intsymliqtwophaseflowtranspphencht.80.

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Kočí, J., J. Maděra, L. Fiala, and R. Černý. "Computational modelling and experimental verification of the effective thermal conductivity of hollow bricks." In HEAT TRANSFER 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/ht120251.

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Amon, Cristina H. "Advances in Computational Modeling of Nano-Scale Heat Transfer." In International Heat Transfer Conference 12. Connecticut: Begellhouse, 2002. http://dx.doi.org/10.1615/ihtc12.3130.

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Bandoła, Dominika, Andrzej J. Nowak, Ziemowit Ostrowski, Marek Rojczyk, and Wojciech Walas. "MEASUREMENT AND COMPUTATIONAL EXPERIMENTS WITHIN NEWBORN'S BRAIN COOLING PROCESS." In International Heat Transfer Conference 16. Connecticut: Begellhouse, 2018. http://dx.doi.org/10.1615/ihtc16.bma.022900.

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KIM, JAY, and JOHNC BENNETT. "Computational and experimental investigation of annulus heat transfer with swirl." In 28th National Heat Transfer Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-4060.

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Cotta, Renato M. "THE INTEGRAL TRANSFORM METHOD IN COMPUTATIONAL HEAT AND FLUID FLOW." In International Heat Transfer Conference 10. Connecticut: Begellhouse, 1994. http://dx.doi.org/10.1615/ihtc10.5250.

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Oh, Chang H., and Eung S. Kim. "Air Ingress Analysis: Computational Fluid Dynamics Models." In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-23083.

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Idaho National Laboratory (INL), under the auspices of the U.S. Department of Energy (DOE), is performing research and development that focuses on key phenomena important during potential scenarios that may occur in very high temperature reactors (VHTRs). Phenomena identification and ranking studies to date have ranked an air ingress event, following on the heels of a VHTR depressurization, as important with regard to core safety. Consequently, the development of advanced air-ingress-related models and verification and validation data are a very high priority. Following a loss of coolant and system depressurization incident, air will enter the core of the High Temperature Gas Cooled Reactor through the break, possibly causing oxidation of the core and reflector graphite structure. Simple core and plant models indicate that, under certain circumstances, the oxidation may proceed at an elevated rate with additional heat generated from the oxidation reaction itself. Under postulated conditions of fluid flow and temperature, excessive degradation of lower plenum graphite can lead to a loss of structural support. Excessive oxidation of core graphite can also lead to a release of fission products into the confinement, which could be detrimental to reactor safety. Computational fluid dynamics models developed in this study will improve our understanding of this phenomenon. This paper presents two-dimensional (2-D) and three-dimensional (3-D) computational fluid dynamic (CFD) results for the quantitative assessment of the air ingress phenomena. A portion of the results from density-driven stratified flow in the inlet pipe will be compared with the experimental results.
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Reports on the topic "Computational heat transfer"

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Tencer, John, Kevin Thomas Carlberg, Marvin E. Larsen, and Roy E. Hogan. Advanced Computational Methods for Thermal Radiative Heat Transfer. Office of Scientific and Technical Information (OSTI), October 2016. http://dx.doi.org/10.2172/1330205.

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Rodriguez, Salvador. Computational Fluid Dynamics and Heat Transfer Modeling of a Dimpled Heat Exchanger. Office of Scientific and Technical Information (OSTI), October 2022. http://dx.doi.org/10.2172/1893993.

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Blackwell, B. F., R. J. Cochran, R. E. Hogan, P. A. Sackinger, and P. R. Schunk. Moving/deforming mesh techniques for computational fluid dynamics and heat transfer. Office of Scientific and Technical Information (OSTI), December 1996. http://dx.doi.org/10.2172/419077.

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Tzanos, C. P., and B. Dionne. Computational fluid dynamics analyses of lateral heat conduction, coolant azimuthal mixing and heat transfer predictions in a BR2 fuel assembly geometry. Office of Scientific and Technical Information (OSTI), May 2011. http://dx.doi.org/10.2172/1018507.

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Chen, Hudong. A New Computational Tool for Simulation of 3-D Flow and Heat Transfer in Boiling Water Reactors. Office of Scientific and Technical Information (OSTI), December 2002. http://dx.doi.org/10.2172/900315.

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McHugh, P. R., and J. D. Ramshaw. A computational model for viscous fluid flow, heat transfer, and melting in in situ vitrification melt pools. Office of Scientific and Technical Information (OSTI), November 1991. http://dx.doi.org/10.2172/10140275.

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McHugh, P. R., and J. D. Ramshaw. A computational model for viscous fluid flow, heat transfer, and melting in in situ vitrification melt pools. Office of Scientific and Technical Information (OSTI), November 1991. http://dx.doi.org/10.2172/5504904.

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Robert E. Spall, Barton Smith, and Thomas Hauser. validation and Enhancement of Computational Fluid Dynamics and Heat Transfer Predictive Capabilities for Generation IV Reactor Systems. Office of Scientific and Technical Information (OSTI), December 2008. http://dx.doi.org/10.2172/944056.

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Pasinato, Hugo D. Computation and Modeling of Heat Transfer in Wall-Bounded Turbulent Flows. Fort Belvoir, VA: Defense Technical Information Center, May 2010. http://dx.doi.org/10.21236/ada563677.

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Rogers, R. H. Computation of heat transfer in a rotating cavity with a radial outflow of coolant. Part 1: The symmetrically-heated cavity. University of Sussex, July 1985. http://dx.doi.org/10.20919/4.

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