Journal articles: 'Numerical Heat Transfer'

1

Schmidt, F. W. "Numerical heat transfer." International Journal of Heat and Fluid Flow 6, no. 2 (June 1985): 68. http://dx.doi.org/10.1016/0142-727x(85)90036-0.

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2

Mujumdar, Arun s., and Mainul Hasan. "NUMERICAL HEAT TRANSFER." Drying Technology 3, no. 4 (November 1985): 615–19. http://dx.doi.org/10.1080/07373938508916301.

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3

Babus'Haq, Ramiz, and S. Douglas Probert. "Numerical heat transfer." Applied Energy 39, no. 2 (January 1991): 177–78. http://dx.doi.org/10.1016/0306-2619(91)90030-2.

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4

STIKA, Laura-Alina, Valeriu-Alexandru VILAG, Mircea BOSCOIANU, and Gheorghe MEGHERELU. "NUMERICAL STUDY OF HEAT TRANSFER IN TURBULENT FLOWS, WITH APPLICATION." Review of the Air Force Academy 13, no. 3 (December 16, 2015): 77–82. http://dx.doi.org/10.19062/1842-9238.2015.13.3.13.

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5

Minkowycz, W. J., and E. M. Sparrow. "NUMERICAL HEAT TRANSFER STATUS REPORT." Numerical Heat Transfer, Part A: Applications 27, no. 1 (January 1995): iii. http://dx.doi.org/10.1080/10407789508913684.

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6

Elghobashi, S. "Handbook of numerical heat transfer." International Journal of Heat and Fluid Flow 10, no. 4 (December 1989): 371. http://dx.doi.org/10.1016/0142-727x(89)90030-1.

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7

Mujumdar, Arun S. "HANDBOOK OF NUMERICAL HEAT TRANSFER." Drying Technology 7, no. 4 (December 1989): 843–45. http://dx.doi.org/10.1080/07373938908916637.

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8

Wrobel, L. C. "Handbook of numerical heat transfer." Advances in Engineering Software 14, no. 3 (January 1992): 236. http://dx.doi.org/10.1016/0965-9978(92)90030-j.

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9

Whalley, P. B. "Handbook of Numerical Heat Transfer." Chemical Engineering Science 44, no. 2 (1989): 457–58. http://dx.doi.org/10.1016/0009-2509(89)85087-0.

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10

Ghosh, S. K. "Handbook of numerical heat transfer." Journal of Materials Processing Technology 21, no. 3 (May 1990): 336–38. http://dx.doi.org/10.1016/0924-0136(90)90058-3.

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11

Kamangar, Sarfaraz, Mohammad Anas Khan, Irfan Anjum Badruddin, T. M. Yunus Khan, and N. Nik. Ghazali. "Numerical analysis of heat transfer in human head." Journal of Mechanical Science and Technology 33, no. 7 (July 2019): 3597–605. http://dx.doi.org/10.1007/s12206-019-0654-x.

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12

Dincer, Mehmet Onur, Kemal Sarioglu, and Husnu Kerpicci. "Experimental and Numerical Heat Transfer Analyses of Exhaust Region of Reciprocating Compressor." International Journal of Materials, Mechanics and Manufacturing 3, no. 1 (2015): 13–16. http://dx.doi.org/10.7763/ijmmm.2015.v3.157.

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13

Lu, Daogang, Qiong Cao, and Jing Lv. "ICONE19-43465 Numerical Investigation on Heat Transfer Characteristics in Triple-jet Flows." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_188.

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14

Ewing, Mark E., Travis S. Laker, and David T. Walker. "Numerical Modeling of Ablation Heat Transfer." Journal of Thermophysics and Heat Transfer 27, no. 4 (October 2013): 615–32. http://dx.doi.org/10.2514/1.t4164.

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15

KOSHIZUKA, Seiichi, and Yoshiaki OKA. "Numerical Analysis of Heat Transfer Deterioration." Reference Collection of Annual Meeting VIII.02.1 (2002): 169–70. http://dx.doi.org/10.1299/jsmemecjsm.viii.02.1.0_169.

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16

Shih, Tien-Mo, and W. J. Minkowycz. "INFORMATION HIGHWAY AND NUMERICAL HEAT TRANSFER." Numerical Heat Transfer, Part A: Applications 30, no. 7 (November 1996): 635–48. http://dx.doi.org/10.1080/10407789608913862.

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17

DUSINBERRE, G. M. "HEAT TRANSFER CALCULATIONS BY NUMERICAL METHODS." Journal of the American Society for Naval Engineers 67, no. 4 (March 18, 2009): 991–1002. http://dx.doi.org/10.1111/j.1559-3584.1955.tb03171.x.

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18

Prakash, Chander. "Numerical Heat Transfer (T. M. Shin)." SIAM Review 28, no. 2 (June 1986): 276–77. http://dx.doi.org/10.1137/1028092.

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19

Farah, Amjad, Glenn Harvel, and Igor Pioro. "ICONE23-1731 NUMERICAL ASSESSMENT AND COMPARISON OF HEAT TRANSFER CHARACTERISTICS OF SUPERCRITICAL WATER IN BARE TUBES AND TUBES WITH HEAT TRANSFER ENHANCING APPENDAGES." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2015.23 (2015): _ICONE23–1—_ICONE23–1. http://dx.doi.org/10.1299/jsmeicone.2015.23._icone23-1_361.

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20

Yamada, Yumi, and Minoru Takahashi. "ICONE15-10153 NUMERICAL ANALYSIS OF LEAD-BISMUTH-WATER DIRECT CONTACT BOILING HEAT TRANSFER." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_65.

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21

Glazar, Vladimir, Anica Trp, Kristian Lenic, and Fran Torbarina. "Numerical analysis of heat transfer in air-water heat exchanger with microchannel coil." E3S Web of Conferences 95 (2019): 02004. http://dx.doi.org/10.1051/e3sconf/20199502004.

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This paper presents numerical analysis of fluid flow and heat transfer in the heat exchanger with microchannel coil (MCHX). In accordance with previously published experimental results, 3D mathematical model has been defined and appropriate numerical simulation of heat transfer has been performed. Geometry and working parameters of cross-flow air-water heat exchanger with microchannel coil, installed in an open circuit wind tunnel and used in experimental investigations, have been applied in numerical analysis in order to validate the mathematical model. 3D model with air and water fluid flow and heat transfer domains has been used, as it gives more precise results compared to models that assume constant temperatures or constant heat fluxes on the pipe walls. Developed model comprised full length of air and water flows in the heat exchanger. Due to limitations of computational capacity, domain has been divided in multiple computational blocks in the water flow direction and then solved successively using CFD solver Fluent. Good agreement between experimentally measured and numerically calculated results has been obtained. The influence of various working parameters on heat transfer in air-water heat exchanger has been studied numerically, followed with discussion and final conclusions.

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22

Wahid, Syed M. S. "Numerical analysis of heat flow in contact heat transfer." International Journal of Heat and Mass Transfer 46, no. 24 (November 2003): 4751–54. http://dx.doi.org/10.1016/s0017-9310(03)00320-x.

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23

Khomutov, Eugene O., and Andrey V. Gil. "Numerical research of heat transfer in gas heat exchanger." MATEC Web of Conferences 23 (2015): 01061. http://dx.doi.org/10.1051/matecconf/20152301061.

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24

Fiebig, M., A. Grosse-Gorgemann, Y. Chen, and N. K. Mitra. "CONJUGATE HEAT TRANSFER OF A FINNED TUBE PART A: HEAT TRANSFER BEHAVIOR AND OCCURRENCE OF HEAT TRANSFER REVERSAL." Numerical Heat Transfer, Part A: Applications 28, no. 2 (August 1995): 133–46. http://dx.doi.org/10.1080/10407789508913737.

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25

Sheremet, Mikhail A. "Numerical Simulation of Convective-Radiative Heat Transfer." Energies 14, no. 17 (August 30, 2021): 5399. http://dx.doi.org/10.3390/en14175399.

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Heat transfer including heat conduction, thermal convection, and thermal radiation is a major transport process that occurs in various engineering and natural systems such as heat exchangers, solar collectors, nuclear reactors, atmospheric boundary layers, electronical and biomedical systems, and others [...]

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26

Wörz, Beate, Mark Wieler, Viola Dehe, Peter Jeschke, and Michael Rabs. "Heat Transfer in a Square Ribbed Channel: Evaluation of Turbulent Heat Transfer Models." International Journal of Turbomachinery, Propulsion and Power 4, no. 3 (July 12, 2019): 18. http://dx.doi.org/10.3390/ijtpp4030018.

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This paper presents the results of integral heat transfer measurements taken in a square ribbed cooling channel configuration for evaluating heat transfer and turbulent flow characteristics in convective cooled gas turbine blades and draws a comparison with numerical results. The heated section of the channel is either smooth or equipped with 45 ∘ crossed ribs on two opposite walls. The first part of the paper describes the instrumentation and experimental setup in detail. The second part compares the numerical calculations with the experimentally determined results. The turbulent heat transfer is calculated using two common algebraic models and three implemented explicit algebraic models, each time in combination with an explicit algebraic Reynolds stress model. The numerical calculations show that the use of higher-order models for the turbulent heat flux provides a higher accuracy of the heat transfer prediction for both configurations. The best model is able to predict almost all results within the experimental uncertainties.

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27

Jalil, J. M., T. K. Murtadha, and H. M. Kadom. "Heat Transfer Enhancement In a Ribbed Duct." Journal of Engineering Research [TJER] 3, no. 1 (December 1, 2006): 10. http://dx.doi.org/10.24200/tjer.vol3iss1pp10-18.

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The rib enhancement of heat transfer in a duct is studied numerically and experimentally, where hot air passes through a duct (0.04 x 0.16 x 1.15 m3) with different rib arrangement. The arranments are lower 12-rib arrangement; upper 12 rib arrangement and 24 rib staggered arrangement. The staggered arrangement gives better performance than the others. Also, the angle of attack was studied for lower arrangement, three different values were tested (45°, 60° and 90°). Angle of 60° gives better performance. Numerically, the three-dimension continuity, Navier-Stokes and energy by finite volume method of flow of air through (0.04 x 0.16 x 0.6 m3). Validation of the code was performed by comparing the numerical result with the results obtained experimentally for staggered arrangement only. The agreement seems acceptable. The numerical studies were extended to study the case of cold air passing through hot ribbed duct.

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28

Shao, Kang Jie, Stephen Rees, and Peter Cleall. "Numerical Simulation of Earth-Contact Heat Transfer." Advanced Materials Research 243-249 (May 2011): 6206–11. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.6206.

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A two-dimensional simulation of earth-contact heat transfer by applying the finite element method is presented. Relevant thermal properties for each material type are determined and employed in the numerical model. Initial conditions and boundary conditions are carefully defined to improve the accuracy of this numerical investigation. The results demonstrate rational connection between the measured data set and simulated result. This research provides a useful contribution and reference to the earth-contact simulation.

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29

Saha, S. C., A. K. Ghosh, and S. L. Malhotra. "Heat Transfer in Welding - A Numerical Approach." Indian Welding Journal 26, no. 4 (October 1, 1993): 8. http://dx.doi.org/10.22486/iwj.v26i4.148241.

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30

KOSHIZUKA, Seiichi, Han Young YOON, and Yoshiaki OKA. "Numerical Analysis of Nucleate Boiling Heat Transfer." Proceedings of the JSME annual meeting 2000.1 (2000): 597–98. http://dx.doi.org/10.1299/jsmemecjo.2000.1.0_597.

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31

Shi, Z., and Z. X. Guo. "Numerical heat transfer modelling for wire casting." Materials Science and Engineering: A 365, no. 1-2 (January 2004): 311–17. http://dx.doi.org/10.1016/j.msea.2003.09.041.

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32

Zuckerman, Neil, and Noam Lior. "Impingement Heat Transfer: Correlations and Numerical Modeling." Journal of Heat Transfer 127, no. 5 (May 1, 2005): 544–52. http://dx.doi.org/10.1115/1.1861921.

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Uses of impinging jet devices for heat transfer are described, with a focus on cooling applications within turbine systems. Numerical simulation techniques and results are described, and the relative strengths and drawbacks of the k-ε,k-ω, Reynolds stress model, algebraic stress models, shear stress transport, and v2f turbulence models for impinging jet flow and heat transfer are compared. Select model equations are provided as well as quantitative assessments of model errors and judgments of model suitability.

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33

Taniguchi, Hiroshi, Toshiaki Ohmori, Misao Iwata, Norio Arai, Kenji Hiraga, and Shun-ichi Yamaguchi. "Numerical study of radiation-convection heat transfer." Heat Transfer?Asian Research 31, no. 5 (June 10, 2002): 391–407. http://dx.doi.org/10.1002/htj.10042.

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34

Dhir, Vijay K. "Numerical simulations of pool-boiling heat transfer." AIChE Journal 47, no. 4 (April 2001): 813–34. http://dx.doi.org/10.1002/aic.690470407.

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35

Ikegawa, Masahiro, Masayuki Kaiho, and Atsushi Hayasaka. "Advanced numerical simulation of heat transfer problems." International Journal for Numerical Methods in Fluids 47, no. 6-7 (2005): 561–74. http://dx.doi.org/10.1002/fld.831.

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36

Watkins, A. P. "Numerical methods in heat transfer vol iii." International Journal of Heat and Fluid Flow 7, no. 2 (June 1986): 125–26. http://dx.doi.org/10.1016/0142-727x(86)90060-3.

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37

Şahin, Ahmet Z., Davut Kavranoğlu, and Maamar Bettayeb. "Model reduction in numerical heat transfer problems." Applied Mathematics and Computation 69, no. 2-3 (May 1995): 209–25. http://dx.doi.org/10.1016/0096-3003(94)00128-q.

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38

Voller, R. "Numerical methods in heat transfer—volume III." Applied Mathematical Modelling 10, no. 6 (December 1986): 461–62. http://dx.doi.org/10.1016/0307-904x(86)90029-6.

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39

Babus'Haq, Ramiz, and Douglas Probert. "Simulation and numerical methods in heat transfer." Applied Energy 42, no. 3 (January 1992): 224–25. http://dx.doi.org/10.1016/0306-2619(92)90066-k.

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40

Szimmat, J. "Numerical methods in heat transfer, Volume III." Computer Methods in Applied Mechanics and Engineering 54, no. 1 (January 1986): 125–26. http://dx.doi.org/10.1016/0045-7825(86)90039-3.

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41

Kang, J., Y. K. Rong, and W. Wang. "Numerical simulation of heat transfer in loaded heat treatment furnaces." Journal de Physique IV 120 (December 2004): 545–53. http://dx.doi.org/10.1051/jp4:2004120063.

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Heat transfer simulation within heat treatment furnaces is of great significance for the prediction and control of the ultimate microstructure, properties and dimensional stability of the workpieces and even the performance of furnaces. In this paper a set of models is proposed to solve heat transfer problems in a loaded furnace, including radiation, convection and conduction. Furthermore, a 3-dimensional algorithm based on finite difference method (FDM) is presented with a complete system for process simulation system. In the radiation module, view factor is calculated by direct integral method for all element pairs exposed to each other based on the blocking judgment. Combustion in gas-fired furnace and PID control are also included in the furnace model. The heat transfer models are integrated with furnace model to simulate the heating process of workpieces. Temperature distribution in workpiece and its variation with time are predicted by the system. An experiment is carried out for the validation of the system.

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42

Bohojło-Wiśniewska, Aneta. "Numerical Modelling Of Humid Air Flow Around A Porous Body." Acta Mechanica et Automatica 9, no. 3 (September 1, 2015): 161–66. http://dx.doi.org/10.1515/ama-2015-0027.

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Summary This paper presents an example of humid air flow around a single head of Chinese cabbage under conditions of complex heat transfer. This kind of numerical simulation allows us to create a heat and humidity transfer model between the Chinese cabbage and the flowing humid air. The calculations utilize the heat transfer model in porous medium, which includes the temperature difference between the solid (vegetable tissue) and fluid (air) phases of the porous medium. Modelling and calculations were performed in ANSYS Fluent 14.5 software.

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43

DOU, HUA-SHU, and GANG JIANG. "NUMERICAL SIMULATION OF FLOW INSTABILITY AND HEAT TRANSFER." International Journal of Modern Physics: Conference Series 34 (January 2014): 1460377. http://dx.doi.org/10.1142/s2010194514603779.

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This paper numerically investigates the physical mechanism of flow instability and heat transfer of natural convection in a cavity with thin fin(s). The left and the right walls of the cavity are differentially heated. The cavity is given an initial temperature, and the thin fin(s) is fixed on the hot wall in order to control the heat transfer. The finite volume method with the SIMPLE scheme is used to simulate the flow. Distributions of the temperature, the pressure, the velocity and the total pressure are achieved. Then, the energy gradient method is employed to study the physical mechanism of flow instability and the effect of the thin fin(s) on heat transfer. Based on the energy gradient method, the energy gradient function K represents the characteristic of flow instability. It is observed from the simulation results that the positions where instabilities take place in the temperature contours accord well with those of higher K value, which demonstrates that the energy gradient method reveals the physical mechanism of flow instability. Furthermore, the effect of the fin length, the fin position, the fin number, and Ra on heat transfer is also investigated. It is found that the effect of the fin length on heat transfer is negligible when Ra is relatively high. When there is only one fin, the most efficient heat transfer rate is achieved as the fin is fixed at the middle height of the cavity. The fin blocks heat transfer with a relatively small Ra, but the fin enhances heat transfer with a relatively large Ra. The fin(s) enhances heat transfer gradually with the increase of Ra under the influence of the thin fin(s). Finally, it is observed that both Kmax and Ra can reveal the physical mechanism of natural convection from different approaches.

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44

Hu, Chaobin, and Xiaobing Zhang. "A Godunov type method determining boundary conditions to predict the transient heat transfer in an expanding combustion chamber." International Journal of Numerical Methods for Heat & Fluid Flow 29, no. 12 (December 2, 2019): 4925–47. http://dx.doi.org/10.1108/hff-03-2019-0193.

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Purpose This paper aims to improve the reliability of numerical methods for predicting the transient heat transfers in combustion chambers heated internally by moving heat sources. Design/methodology/approach A two-phase fluid dynamic model was used to govern the non-uniformly distributed moving heat sources. A Riemann-problem-based numerical scheme was provided to update the fluid field and provide convective boundary conditions for the heat transfer. The heat conduction in the solids was investigated by using a thermo-mechanical coupled model to obtain a reliable expanding velocity of the heat sources. The coupling between the combustion and the heat transfer is realized based on user subroutines VDFLUX and VUAMP in the commercial software ABAQUS. Findings The capability of the numerical scheme in capturing discontinuities in initial conditions and source terms was validated by comparing the predicted results of commonly used verification cases with the corresponding analytical solutions. The coupled model and the numerical methods are capable of investigating heat transfer problems accompanied by extreme conditions such as transient effects, high-temperature and high-pressure working conditions. Originality/value The work provides a reliable numerical method to obtain boundary conditions for predicting the heat transfers in solids heated by expanding multiphase reactive flows.

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45

Chiu, Wilson K. S., Cristy J. Richards, and Yogesh Jaluria. "Experimental and Numerical Study of Conjugate Heat Transfer in a Horizontal Channel Heated From Below." Journal of Heat Transfer 123, no. 4 (February 1, 2001): 688–97. http://dx.doi.org/10.1115/1.1372316.

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Conjugate heat transfer has significant relevance to a number of thermal systems and techniques which demand stringent temperature control, such as electronic cooling and chemical vapor deposition. A detailed experimental and numerical study is carried out to investigate conjugate heat transfer in a common configuration consisting of a horizontal channel with a heated section. Experimental data obtained from this study provides physical insight into conjugate heat transfer effects and facilitates validation of numerical conjugate heat transfer models. The basic characteristics of the flow and the associated thermal transport are studied. The numerical model is used to carry out a parametric study of operating conditions and design variables, thus allowing for the characterization of the conjugate heat transfer effects. It is found that the numerically predicted flow field and heat transfer results validate well to experimental observations. Conjugate heat transfer is shown to significantly affect the temperature level and uniformity at the heated section’s surface, channel walls and the gas phase, thus impacting the rate of heat transfer. This study provides guidelines and fundamental insight into temperature control during the combined modes of heat transfer, with implications to various thermal manufacturing methods.

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46

Sarmento, Lígia Rafaely Barbosa, G. H. S. Pereira Filho, Antônio Gilson Barbosa de Lima, Severino Rodrigues de Farias Neto, E. S. Barbosa, and A. de Lima Cunha. "Multiphase Flow and Heat Transfer in Risers." Defect and Diffusion Forum 348 (January 2014): 3–8. http://dx.doi.org/10.4028/www.scientific.net/ddf.348.3.

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Multiphase flows commonly occur in the production and transportation of oil, natural gas and water. In this type of flow, the phases can flow in different spatial configurations disposed inside the pipe, so called multiphase flow patterns. The identification of flow patterns and the determination of the pressure drop along the pipe lines for different volumetric flows are important parameters for management and control of production. In this sense, this work proposes to numerically investigate the non-isothermal multiphase flow of a stream of ultraviscous heavy oils containing water and natural gas in submerged risers (catenary) via numerical simulation (ANSYS CFX 11.0). Results of the pressure, volumetric fractions and temperature distributions are presented and analyzed. Numerical results show that the heat transfer was more pronounced when using the largest volume fraction of gas phases.

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47

Luo, Xinmei, and Shengming Liao. "Numerical Study on Melting Heat Transfer in Dendritic Heat Exchangers." Energies 11, no. 10 (September 20, 2018): 2504. http://dx.doi.org/10.3390/en11102504.

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The dendritic fin was introduced to improve the solid-liquid phase change in heat exchangers. A theoretical model of melting phase change in dendritic heat exchangers was developed and numerically simulated. The solid-liquid phase interface, liquid phase rate and dynamic temperature change in dendritic heat exchanger during melting process are investigated and compared with radial-fin heat exchanger. The results indicate that the dendritic fin is able to enhance the solid-liquid phase change in heat exchanger for latent thermal storage. The presence of dendritic fin leads to the formation of multiple independent PCM zones, so the heat can be quickly diffused from one point to across the surface along the metal fins, thereby making the PCM far away from heat sources melt earlier and faster. In addition, the dendritic structure makes the PCM temperature distribution more uniform over the entire zone inside heat exchangers due to high-efficient heat flow distribution of dendritic fins. As a result, the time required for the complete melting of the PCM in dendritic heat exchanger is shorter than that of the radial-fin heat exchanger.

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48

He, Ying, Masahiro Shoji, and Shigeo Maruyama. "Numerical study of high heat flux pool boiling heat transfer." International Journal of Heat and Mass Transfer 44, no. 12 (June 2001): 2357–73. http://dx.doi.org/10.1016/s0017-9310(00)00269-6.

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49

Hur, Nahmkeon, Myungsung Lee, Byung Ha Kang, and Chan Shik Won. "Numerical analysis of heat transfer in a plate heat exchanger." Progress in Computational Fluid Dynamics, An International Journal 8, no. 7/8 (2008): 406. http://dx.doi.org/10.1504/pcfd.2008.021316.

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50

Sharath, D., Sathyanarayana, and H. S. Puneeth. "Heat Transfer Numerical Simulation and Optimization of a Heat Sinks." IOP Conference Series: Materials Science and Engineering 376 (June 2018): 012005. http://dx.doi.org/10.1088/1757-899x/376/1/012005.

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Journal articles on the topic 'Numerical Heat Transfer'

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