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Journal articles on the topic 'Thermal conductivities'

Author: Grafiati

Published: 13 July 2022

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1

Jang, Seok-Pil. "Thermal Conductivities of Nanofluids." Transactions of the Korean Society of Mechanical Engineers B 28, no. 8 (August 1, 2004): 968–75. http://dx.doi.org/10.3795/ksme-b.2004.28.8.968.

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2

Wu, Guoqiang, Zhaowei Sun, Xianren Kong, and Dan Zhao. "Molecular dynamics simulation on the out‐of plane thermal conductivity of single‐crystal silicon thin films." Aircraft Engineering and Aerospace Technology 77, no. 6 (December 1, 2005): 475–77. http://dx.doi.org/10.1108/00022660510628462.

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PurposeCombining the characteristic of satellite “minisize nucleus” non‐equilibrium molecular dynamics (NEMD) method is used. We select corresponding Tersoff potential energy function to build model and, respectively, simulate thermal conductivities of silicon nanometer thin film.Design/methodology/approachNEMD method is used, and the corresponding Tersoff potential energy function is used to build model.FindingsThe thermal conductivities of silicon nanometer thin film are markedly below the corresponding thermal conductivities of their crystals under identical temperature. The thermal conductivities are rising with the increase of thickness of thin film; what's more, the conductivities have a linear approximation with thickness of the thin film.Research limitations/implicationsIt is difficult to do physics experiment.Practical implicationsThe findings have some theory guidance to analyze satellite thermal control.Originality/valueThe calculation results of thermal conductivities specify distinct size effect. The normal direction thick film thermal conductivity of silicon crystal declines with the increasing temperature. The thermal conductivities are rising with the increase of thickness of thin film; what's more, the conductivities have a linear approximation with thickness of the thin film.

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3

Hands, D., K. Lane, and R. P. Sheldon. "Thermal conductivities of amorphous polymers." Journal of Polymer Science: Polymer Symposia 42, no. 2 (March 8, 2007): 717–26. http://dx.doi.org/10.1002/polc.5070420223.

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4

DiGuilio, Ralph M., William L. McGregor, and Amyn S. Teja. "Thermal conductivities of the ethanolamines." Journal of Chemical & Engineering Data 37, no. 2 (April 1992): 242–45. http://dx.doi.org/10.1021/je00006a029.

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5

Maloka, I. E. "Thermal Conductivities of Liquid Mixtures." Petroleum Science and Technology 25, no. 8 (August 2007): 1065–72. http://dx.doi.org/10.1081/lft-200041074.

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6

Lovell, M. A. "Thermal conductivities of marine sediments." Quarterly Journal of Engineering Geology and Hydrogeology 18, no. 4 (November 1985): 437–41. http://dx.doi.org/10.1144/gsl.qjeg.1985.018.04.14.

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7

Midttømme, K., E. Roaldset, and P. Aagaard. "Thermal conductivities of argillaceous sediments." Geological Society, London, Engineering Geology Special Publications 12, no. 1 (1997): 355–63. http://dx.doi.org/10.1144/gsl.eng.1997.012.01.33.

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8

Rowley, Richard L., Gary L. White, and Mudau Chiu. "Ternary liquid mixture thermal conductivities." Chemical Engineering Science 43, no. 2 (1988): 361–71. http://dx.doi.org/10.1016/0009-2509(88)85049-8.

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9

Tang, Boning, Chuanqing Zhu, Ming Xu, Tiange Chen, and Shengbiao Hu. "Thermal conductivity of sedimentary rocks in the Sichuan basin, Southwest China." Energy Exploration & Exploitation 37, no. 2 (October 29, 2018): 691–720. http://dx.doi.org/10.1177/0144598718804902.

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The optical scanning method was adopted to measure the thermal conductivities of 418 drill-core samples from 30 boreholes in Sichuan basin. All the measured thermal conductivities mainly range from 2.00 to 4.00 W/m K with a mean of 2.85 W/m K. For clastic rocks, the mean thermal conductivities of sandstone, mudstone, and shale are 3.06 ± 0.73, 2.57 ± 0.42, and 2.48 ± 0.33 W/m K, respectively; for carbonate rocks, the mean thermal conductivities of limestone and dolomite are 2.53 ± 0.44 and 3.55 ± 0.71 W/m K, respectively; for gypsum rocks, the mean thermal conductivity is 3.60 ± 0.64 W/m K. The thermal conductivities of sandstone and mudstone increase with burial depth and stratigraphic age, but this trend is not obvious for limestone and dolomite. Compared with other basins, the thermal conductivities of sandstone and mudstone in Sichuan basin are distinctly higher, while the thermal conductivities of limestone are close to Tarim basin. The content of mineral composition such as quartz is the principal factor that results in thermal conductivity of rocks differing from normal value. In situ thermal conductivity of sandstones was corrected with the consideration of water saturation. Finally, a thermal conductivity column of sedimentary formation of the Sichuan basin was given out, which can provide thermal conductivity references for the research of deep geothermal field and lithospheric thermal structure in the basin.

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10

Goo, Nam Seo, and Kyeongsik Woo. "Measurement and Prediction of Effective Thermal Conductivity for Woven Fabric Composites." International Journal of Modern Physics B 17, no. 08n09 (April 10, 2003): 1808–13. http://dx.doi.org/10.1142/s0217979203019708.

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The current paper deals with the measurement and prediction of thermal conductivities for plain weave fabric composites. An experimental apparatus was setup to measure the temperature gradients from which the thermal conductivities were obtained. The thermal conductivities were also calculated using finite element analyses for plain weave unit cell models and then compared with experimental results. In addition, the effect of a phase shift and the fiber volume fraction in the tow on the thermal conductivities was addressed.

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11

Wang, Jing Dong, Wei Pan, Qiang Xu, Kazutaka Mori, and Taiji Torigoe. "Thermal Conductivity of the New Candidate Materials for Thermal Barrier Coatings." Key Engineering Materials 280-283 (February 2007): 1503–6. http://dx.doi.org/10.4028/www.scientific.net/kem.280-283.1503.

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Rare-earth zirconate ceramics (Gd2Zr2O7, Sm2Zr2O7, Nd2Zr2O7, Dy2Zr2O7, Er2Zr2O7 and Yb2Zr2O7) were successfully prepared by pressureless sintering at 1550oC for 10 hours. The thermal conductivities of these ceramics were measured and the results indicated that the thermal conductivities of rare-earth zirconates were much lower than that of YSZ in the temperature range 20-800oC.

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12

Qi, Xiao Ling, Ling Ke Zeng, and You Yu Fan. "Thermal Transport Properties of Ca₃Co₄O₉with Mg Substitution." Applied Mechanics and Materials 71-78 (July 2011): 959–62. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.959.

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Polycrystalline Ca3-xMgxCo4O9（x=0-0.3）ceramics were prepared by the sol–gel method combined with the ordinary pressing sintering and the thermal conductivities were measured from room temperature to 673 K. The influence of Mg2+ substitution for Ca2+ on the thermal conductivities of Ca3Co4O9 ceramics was investigated systematically. The influence of Mg doping on the thermal conductivities is mainly embodied in the lattice thermal conductivities, which shows a significant decrease with the increase of the dopant content for the samples with x ≤ 0.2, while the carrier thermal conductivity had no obvious change with Mg doping increasing. These results indicated that the thermal conductivities of the material could be reduced remarkably with the substitution of Mg from 1.427 W/m·K to 0.731 W/m·K at 573 K with x = 0.2.

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13

Wang, Zan, X. Y. Cai, W. K. Zhao, H. Wang, and Y. W. Ruan. "Molecular Dynamics Simulations of the Thermal Conductivity of Silicon-Germanium and Silicon-Germanium-Tin Alloys." Journal of Nanomaterials 2021 (May 6, 2021): 1–7. http://dx.doi.org/10.1155/2021/6675159.

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In this work, we investigate the thermal conductivity properties of Si 1 − x Ge x and Si 0.8 Ge 0 Sn 2 y alloys. The equilibrium molecular dynamics (EMD) is employed to calculate the thermal conductivities of Si 1 − x Ge x alloys when x is different at temperatures ranging from 100 K to 1100 K. Then nonequilibrium molecular dynamics (NEMD) is used to study the relationships between y and the thermal conductivities of Si 0.8 Ge 0.2 Sn 2 y alloys. In this paper, Ge atoms are randomly doped, and tin atoms are doped in three distributing ways: random doping, complete doping, and bridge doping. The results show that the thermal conductivities of Si 1 − x Ge x alloys decrease first, then increase with the rise of x , and reach the lowest value when x changes from 0.4 to 0.5. No matter what the value of x is, the thermal conductivities of Si 1 − x Ge x alloys decrease with the increase of temperature. Thermal conductivities of Si 0.8 Ge 0.2 alloys can be significantly inhibited by doping an appropriate number of Sn atoms. For the random doping model, thermal conductivities of Si 0.8 Ge 0.2 Sn y alloys approach the lowest level when y is 0.10. Whether it is complete doping or bridge doping, thermal conductivities decrease with the increase of the number of doped layers. In addition, in the bridge doping model, both the number of Sn atoms in the [001] direction and the penetration distance of Sn atoms strongly influence thermal conductivities. The thermal conductivities of Si 0.8 Ge 0.2 Sn y alloys are positively associated with the number of Sn atoms in the [001] direction and the penetration distance of Sn atoms.

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14

Zhu, Bao Jie, Wei Lin Zhao, Dong Dong Li, and Jin Kai Li. "Effect of Volume Fraction and Temperature on Thermal Conductivity of SiO₂ Nanofluids." Advanced Materials Research 306-307 (August 2011): 1178–81. http://dx.doi.org/10.4028/www.scientific.net/amr.306-307.1178.

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Thermal conductivities of two kinds of nanofluids (SiO2-water and SiO2-ethylene glycol) were measured by transient hot-wire method at different volume fraction and temperature. Influences of volume fraction of particles and temperature on thermal conductivities of nanofluids were analyzed. The Experimental results show that thermal conductivities of nanofluids are higher than those of base fluids, and increase with the increase of volume fraction and temperature. When approximately 0.5% volume fraction of SiO2nanoparticles are added into water and ethylene glycol at the temperature 50°C, the thermal conductivities are enhanced 46.2% and 62.8% respectively.

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15

HIRAI, Mutsumi, and Shinji ISHIMOTO. "Thermal Diffusivities and Thermal Conductivities of UO2-Gd2O3." Journal of Nuclear Science and Technology 28, no. 11 (November 1991): 995–1000. http://dx.doi.org/10.1080/18811248.1991.9731462.

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16

Cho, Young Jun, Jae Ryoun Youn, Tae Jin Kang, and Sung Min Kim. "Prediction of Thermal Conductivities of Fibre Reinforced Composites using a Thermal-Electrical Analogy." Polymers and Polymer Composites 13, no. 6 (September 2005): 637–44. http://dx.doi.org/10.1177/096739110501300609.

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An approach for predicting the effective thermal conductivities of fibre reinforced composites has been developed, based on a thermal-electrical analogy. In the voxelization method, the unit cell of the laminate composites is divided into a number of volume elements, and the material properties considering the local variations of fibre orientation have been given to each element. By constructing a series-parallel thermal resistance network, the thermal conductivities of a fibre reinforced composite in both in-plane and out-of-plane directions have been predicted. The reported thermal conductivities of a graphite/epoxy composite of a balanced plain weave laminate were used for the comparison with the predicted values of the model, and good agreement was found.

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17

Chen, G., and C. L. Tien. "Thermal conductivities of quantum well structures." Journal of Thermophysics and Heat Transfer 7, no. 2 (April 1993): 311–18. http://dx.doi.org/10.2514/3.421.

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18

AKIYAMA, Tomohiro, Gaku OGURA, Hiromichi OHOTA, Reijiro TAKAHASHI, Yoshio WASEDA, and Jun-ichiro YAGI. "Thermal Conductivities of Dense Iron Oxides." Tetsu-to-Hagane 77, no. 2 (1991): 231–35. http://dx.doi.org/10.2355/tetsutohagane1955.77.2_231.

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19

Yang, Fan, Xiaofeng Zhao, and Ping Xiao. "Thermal conductivities of YSZ/Al2O3 composites." Journal of the European Ceramic Society 30, no. 15 (November 2010): 3111–16. http://dx.doi.org/10.1016/j.jeurceramsoc.2010.07.007.

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20

Rowley, Richard L., and Gary L. White. "Thermal conductivities of ternary liquid mixtures." Journal of Chemical & Engineering Data 32, no. 1 (January 1987): 63–69. http://dx.doi.org/10.1021/je00047a019.

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21

Kurosaki, Ken, Hirokazu Kobayashi, Masayoshi Uno, and Shinsuke Yamanaka. "Thermal conductivities of uranium intermetallic compounds." Journal of Nuclear Science and Technology 39, sup3 (November 2002): 811–14. http://dx.doi.org/10.1080/00223131.2002.10875592.

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22

Abuaf, N., and H. Jaster. "Apparent Thermal Conductivities of Fiberglass Insulation." Journal of Thermal Insulation 14, no. 2 (October 1990): 135–55. http://dx.doi.org/10.1177/109719639001400205.

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23

Gordaninejad, F. "Enhancement of Thermal Conductivities in Polymeric Fiber Reinforced Composite Materials." Journal of Engineering Materials and Technology 114, no. 4 (October 1, 1992): 416–21. http://dx.doi.org/10.1115/1.2904194.

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In this study it is demonstrated that thermal conductivities of polymeric fiber-reinforced composite materials can be enhanced by using coated fibers and by adding thermally conductive microspheres to the resin. Two and three-dimensional finite element unit cell models are developed to predict the directional thermal conductivities. The analyses are based on the flash pulse method. It is found that the thermal conductivities in the longitudinal and the transverse directions are highly dependent on the fiber and microsphere volume fractions as well as on the thermal conductivities of fiber, microsphere, and coatings. It is shown that the 2-D analysis is a good approximation for the 3-D model. Close agreements among analytical, finite element and experimental results are obtained.

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24

Du, Ai Bing, Rui Fen Wu, Zhi Xue Qu, Chun Lei Wan, and Wei Pan. "Thermal Conductivities of LaPO₄/Al₂O₃ Composites Fabricated by SPS." Key Engineering Materials 434-435 (March 2010): 123–25. http://dx.doi.org/10.4028/www.scientific.net/kem.434-435.123.

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The thermal conductivities of the LaPO4/Al2O3 composites that were fabricated by spark plasma sintering (SPS) were determined. The results revealed that their thermal conductivities displayed nearly a slow decrease with increasing temperature from 25oC to 800oC, having the classic 1/T dependence. In addition, the conductivities of the composites decrease monotonously with increasing the LaPO4 content because of the lower thermal conductivity of LaPO4. The calculated conductivities of the composites using Maxwell equation match well the experimental values at both the end members of LaPO4 and Al2O3 being the continuous phase, but showing a little deviation at intermediate composition.

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25

Midttømme, K., E. Roaldset, and P. Aagaard. "Thermal conductivity of selected claystones and mudstones from England." Clay Minerals 33, no. 1 (March 1998): 131–45. http://dx.doi.org/10.1180/000985598545327.

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AbstractThe claystones and mudstones investigated are London Clay, Fullers Earth, Oxford Clay and Kimmeridge Clay. The thermal conductivities were measured using a divided bar apparatus and the values measured perpendicular to layering ranged from 0.68 to 0.97 W/mK. Comparative measurements of thermal conductivities were carried out by the needle probe method and Middleton's method. Deviations of up to 50% were obtained between the needle probe and the divided bar method. The thermal conductivities estimated from the geometric mean model based on mineralogy and water content ranged from 0.87 to 2.01 W/mK, considerably higher than the measured values. A correlation was found between the grain size distributions of the samples and the measured thermal conductivities. This textural effect on the thermal conductivity is assumed to be the main reason for the low measured values and the lack of correlation between the measured and the calculated values.

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26

Zou, Mingqing, Boming Yu, Duanming Zhang, and Yongting Ma. "Study on Optimization of Transverse Thermal Conductivities of Unidirectional Composites." Journal of Heat Transfer 125, no. 6 (November 19, 2003): 980–87. http://dx.doi.org/10.1115/1.1621892.

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Two models, E-S and R-S unit cell models, are presented based on the thermal-electrical analogy technique. The analytical expressions for transverse thermal conductivities of unidirectional composites are derived. The dimensionless effective transverse thermal conductivities ke+ are expressed as a function of the ratio (β) of thermal conductivities of filler to matrix, filler volume fraction vf and the geometry ratio ρ=a/b of the filler. The optimization of transverse thermal conductivities of unidirectional composites is then analyzed under different filler volume fractions vf, thermal conductivity ratios β and different geometric architectures. The present analysis allows for a fairly precise evaluation of configuration performance and comparisons of different arrangements. The results show that if a composite is designed for insulation material, we should choose ρ<1, and if a composite is designed for heat dissipating purpose, we should choose ρ>1.

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27

Ma, Lian Xiang, Lin Ma, and Yan He. "Thermal Conductivities and Mechanical Properties of EPDM Filled with Modified Carbon Nanotubes." Key Engineering Materials 561 (July 2013): 169–73. http://dx.doi.org/10.4028/www.scientific.net/kem.561.169.

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In this article, in order to improve the thermal conductivities and mechanical properties of EPDM filled with carbon nanotubes, phenol formaldehyde resin is used to coat to the surface of carbon nanotubes so as to improve the dispersion in rubber matrix and the combination with EPDM. The results show that with the ratio of CNTs and PF increased, the thermal conductivities of carbon nanotubes/EPDM composites show upward trend. Besides, with the increase of filler content, thermal conductivities of composites are improved as well. However, the mechanical properties of composites are declined. Therefore, more effective methods of modification of carbon nanotubes should be attempted, and more experiments should be conducted to improve mechanical properties of filled EPDM and ensure the high thermal conductivities at the same time.

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28

Ma, Lian Xiang, Na Zhang, Gang Yang, and Yan He. "Thermal Conductivity of EPDM Rubber Filled with Modified Nano-AlN." Key Engineering Materials 561 (July 2013): 146–51. http://dx.doi.org/10.4028/www.scientific.net/kem.561.146.

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In order to improve the thermal conductivities of composites, AlN are used as thermal conductive fillers of EPDM rubber. The contact angle and surface free energy of AlN and modified AlN are studied. The influence filler amount and the surface treatment of AlN which coated by phenol formaldehyde resin (PF), on the thermal conductivities and mechanical properties of composites material are also investigated. The results show that the surface free energy of modified AlN is lower than unmodified, so the modified AlN are easier dispersion in the matrix. Through the TGA analysis, it can give a quantitative analysis of the surface coating thickness. With the increase of the filler, the thermal conductivities of composites are all on the rise, while the mechanical properties decreased in different degree. The modified AlN have active impacts on the thermal conductivities and harmful to mechanical properties of the filled EPDM rubber.

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29

Goodson, K. E., and M. I. Flik. "Solid Layer Thermal-Conductivity Measurement Techniques." Applied Mechanics Reviews 47, no. 3 (March 1, 1994): 101–12. http://dx.doi.org/10.1115/1.3111073.

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The thermal conductivities of solid layers of thicknesses from 0.01 to 100 μm affect the performance and reliability of electronic circuits, laser systems, and microfabricated sensors. This work reviews techniques that measure the effective thermal conductivity along and normal to these layers. Recent measurements using microfabricated experimental structures show the importance of measuring the conductivities of layers that closely resemble those in the application. Several promising non-contact techniques use laser light for heating and infrared detectors for temperature measurements. For transparent layers these methods require optical coatings whose impact on the measurements has not been determined. There is a need for uncertainty analysis in many cases, particularly for those techniques which apply to very thin layers or to layers with very high conductivities.

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30

Wan, Li Hua, De Qing Liang, and Jin An Guan. "Molecular Dynamics Study of Thermal Conduction in Carbon Dioxide Hydrates." Advanced Materials Research 1008-1009 (August 2014): 861–72. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.861.

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Equilibrium molecular dynamics simulations that use the Green–Kubo method for sI CO2-hydrate systems from medium to full occupancy were performed to estimate the corresponding thermal conductivities at temperatures that range from 233.15K to 278.15K and pressures that range from 3MPa to 100MPa. Specific potential models for water and CO2were adopted. The effects of guest occupancy ratios and outside thermobaric conditions on CO2hydrate thermal conductivity were studied. The thermal mechanism was also analyzed. The thermal conductivities of hydrates of CH4, C2H6, N2, and O2were estimated. The size ratio of guest diameter to cavity diameter provided an adequate basis for understanding the thermal conductivities of gas hydrates.

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31

Lance, Manfred A. "Measurements of Thermal Parameters in Antarctic Snow and Firn." Annals of Glaciology 6 (1985): 100–104. http://dx.doi.org/10.3189/1985aog6-1-100-104.

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Values Of Effective thermal conductivities of snow and firn were obtained at Filchner Ice Shelf (Antarctica). We employed a transient line source method (a needle probe with a diameter of 1.6 mm) for conductivity determination, which allows quick measurements with high spatial resolution. Our data yield a linear relationship between effective thermal conductivity (lg keff) and density (p) of snow which implies a strong dependence of thermal conductivity on density for 0.24≤p≤0.42, Comparison of thermal conductivities and other snow pit data suggests that density alone is a poor measure of effective thermal conductivities of snow and firn. We propose that grain structure is probably the governing parameter in determining heat transport in the upper firn layers.

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32

Lance, Manfred A. "Measurements of Thermal Parameters in Antarctic Snow and Firn." Annals of Glaciology 6 (1985): 100–104. http://dx.doi.org/10.1017/s0260305500010090.

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Values Of Effective thermal conductivities of snow and firn were obtained at Filchner Ice Shelf (Antarctica). We employed a transient line source method (a needle probe with a diameter of 1.6 mm) for conductivity determination, which allows quick measurements with high spatial resolution. Our data yield a linear relationship between effective thermal conductivity (lg keff) and density (p) of snowwhich implies a strong dependence of thermal conductivity on density for 0.24≤p≤0.42, Comparison of thermal conductivities and other snow pit data suggests that density alone is a poor measure of effective thermal conductivities of snow and firn. We propose that grain structure is probably the governing parameter in determining heat transport in the upper firn layers.

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33

Kamiuto, K., and M. Iwamoto. "Inversion Method for Determining Effective Thermal Conductivities of Porous Materials." Journal of Heat Transfer 109, no. 4 (November 1, 1987): 831–34. http://dx.doi.org/10.1115/1.3248189.

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An inversion method for determining the effective thermal conductivies of porous materials from observed mean effective thermal conductivities is presented. Its validity is confirmed by numerical simulations. The effective thermal conductivities of glass beads are determined by the proposed method successfully used to predict the temperature profiles within the glass beads.

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34

Shida, Masato, Katsunori Akiyama, Ichiro Nagano, Yuichiro Murakami, and Satoshi Ohta. "Investigation of Strontium-Niobium Oxides for Application to Thermal Barrier Coatings." Key Engineering Materials 317-318 (August 2006): 517–20. http://dx.doi.org/10.4028/www.scientific.net/kem.317-318.517.

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We have been trying to find new oxide compounds with large thermal expansion coefficients and low thermal conductivities by means of a material calculation technique. Among thousands of compounds in the databases, we found that there were some materials with low thermal conductivities and large thermal expansion coefficients in the group of strontium-niobium oxides. For example, Sr4Nb2O9 has a thermal expansion coefficient of 14.510-6 / and thermal conductivity of 1.0 W/mK, although a slight amount of other phases appear during long-term annealing. These thermal properties are better than those of yttria-stabilized zirconia, which is the standard material for thermal barrier coatings. To prevent the precipitation of other phases, we prepared the solid solutions, Sr4Nb2-xMxO9. In this study, the thermal conductivities and thermal expansion coefficients of these solid solutions were measured, and their thermal stabilities were evaluated by long-term annealing.

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35

Moheimani, Reza, and M. Hasansade. "A closed-form model for estimating the effective thermal conductivities of carbon nanotube–polymer nanocomposites." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 8 (August 31, 2018): 2909–19. http://dx.doi.org/10.1177/0954406218797967.

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This paper describes a closed-form unit cell micromechanical model for estimating the effective thermal conductivities of unidirectional carbon nanotube reinforced polymer nanocomposites. The model incorporates the typically observed misalignment and curvature of carbon nanotubes into the polymer nanocomposites. Also, the interfacial thermal resistance between the carbon nanotube and the polymer matrix is considered in the nanocomposite simulation. The micromechanics model is seen to produce reasonable agreement with available experimental data for the effective thermal conductivities of polymer nanocomposites reinforced with different carbon nanotube volume fractions. The results indicate that the thermal conductivities are strongly dependent on the waviness wherein, even a slight change in the carbon nanotube curvature can induce a prominent change in the polymer nanocomposite thermal conducting behavior. In general, the carbon nanotube curvature improves the nanocomposite thermal conductivity in the transverse direction. However, using the straight carbon nanotubes leads to maximum levels of axial thermal conductivities. With the increase in carbon nanotube diameter, an enhancement in nanocomposite transverse thermal conductivity is observed. Also, the results of micromechanical simulation show that it is necessary to form a perfectly bonded interface if the full potential of carbon nanotube reinforcement is to be realized.

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36

Tang, Boning, Chuanqing Zhu, Nansheng Qiu, Yue Cui, Sasa Guo, Xin Luo, Baoshou Zhang, Kunyu Li, Wenzheng Li, and Xiaodong Fu. "Analyzing and Estimating Thermal Conductivity of Sedimentary Rocks from Mineral Composition and Pore Property." Geofluids 2021 (March 19, 2021): 1–19. http://dx.doi.org/10.1155/2021/6665027.

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In this study, thermal conductivities of 128 rock samples located in the Xiong’an New Area and Tarim Basin were measured using the optical scanning and transient plane source methods. The thermal conductivities of the Xiong’an New Area samples range from 1.14 to 6.69 W/(m·K), in which the mean thermal conductivities of dolomite and sandstone are 4.95 ± 1.19 and 1.80 ± 0.44 W / m · K , respectively. In the Tarim Basin, sandstone samples have thermal conductivities ranging from 1.21 to 3.56 W/(m·K) with a mean value of 2.51 ± 0.66 W / m · K . The results can provide helpful reference data for studies of geothermics and petroleum geology. Calculation correction and water-saturated measurements were conducted to acquire in situ rock thermal conductivity, and good consistency was found between both. Compaction diagenesis enhances bulk thermal conductivity of sedimentary rocks, particularly sandstones, by decreasing the rock porosity and mineral particle size. Finally, correction factors with respect to mineral grains were proposed to correct the thermal resistance of intergrain contacts and degree of intactness of crystals, and an optimized formula was adopted to calculate the thermal conductivity of sedimentary rock based on rock structure and mineral constituents.

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37

Xu, Chang, Zhihong Sun, and Guowei Shao. "Prediction of Effective Thermal Conductivities of Four-Directional Carbon/Carbon Composites by Unit Cells with Different Sizes." Applied Sciences 11, no. 3 (January 27, 2021): 1171. http://dx.doi.org/10.3390/app11031171.

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Two-unit cells developed to predict the effective thermal conductivities of four-directional carbon/carbon composites with the finite element method are proposed in this paper. The smaller-size unit cell is formulated from the larger-size unit cell by two 180° rotational transformations. The temperature boundary conditions corresponding to the two-unit cells are derived, and the validity is verified by the temperature and heat flux distributions at specific positions of the larger-size unit cell and the smaller-size unit cell. The thermal conductivities of the carbon fiber bundles and carbon fiber rods are measured firstly. Then, combined with the properties of the matrix, the effective thermal conductivities of the four-directional carbon/carbon composites are numerically predicted. The results in transverse direction predicted by the larger-size unit cell and the smaller-size unit cell are both higher than experimental values, which are 5.8 to 6.2% and 7.3 to 8.2%, respectively. In longitudinal direction, the calculated thermal conductivities of the larger-size unit cell and the smaller-size unit cell are 6.8% and 6.2% higher than the experimental results, respectively. In addition, carbon fiber rods with different diameters are set to clarify the influence on the effective thermal conductivities of the four-directional carbon/carbon composites.

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38

Zhou, Yan, Yan Wang, Jin Hui ZHang, and Qing Ling Li. "Hot Probe Method for Measuring Thermal Conductivity of Copper Nano-Particles/Paraffin Composite Phase Change Materials." Key Engineering Materials 561 (July 2013): 428–34. http://dx.doi.org/10.4028/www.scientific.net/kem.561.428.

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Hot probe method for measuring thermal conductivity has the advantages of easy operation, time saving, high accuracy and low poison. In this study, experimental device with high precision for measuring thermal conductivity by hot probe was designed. The measurement error of experimental device is less than 2.4%. This experimental device was used to measure thermal conductivities of pure paraffin (octadecane) and copper nano-particles/octadecane composite phase change materials (PCMs). The composite PCMs were prepared with copper nano-particles doping levels of 0.1, 0.2, 0.5, 1and 2 wt%. The experimental results showed that hot probe method is an effective method to measure the thermal conductivities of PCMs; copper nano-particles added into paraffin can improve thermal conductivity effectively. What’s more, the thermal conductivities of PCMs increase with the growing mass fraction of copper nano-particles.

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39

Luckyanova, M. N., J. Mendoza, H. Lu, B. Song, S. Huang, J. Zhou, M. Li, et al. "Phonon localization in heat conduction." Science Advances 4, no. 12 (December 2018): eaat9460. http://dx.doi.org/10.1126/sciadv.aat9460.

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Nondiffusive phonon thermal transport, extensively observed in nanostructures, has largely been attributed to classical size effects, ignoring the wave nature of phonons. We report localization behavior in phonon heat conduction due to multiple scattering and interference events of broadband phonons, by measuring the thermal conductivities of GaAs/AlAs superlattices with ErAs nanodots randomly distributed at the interfaces. With an increasing number of superlattice periods, the measured thermal conductivities near room temperature increased and eventually saturated, indicating a transition from ballistic to diffusive transport. In contrast, at cryogenic temperatures the thermal conductivities first increased but then decreased, signaling phonon wave localization, as supported by atomistic Greenșs function simulations. The discovery of phonon localization suggests a new path forward for engineering phonon thermal transport.

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40

Stanimirovic, Andrej, Emila Zivkovic, Divna Majstorovic, and Mirjana Kijevcanin. "Transport properties of binary liquid mixtures - candidate solvents for optimized flue gas cleaning processes." Journal of the Serbian Chemical Society 81, no. 12 (2016): 1427–39. http://dx.doi.org/10.2298/jsc160623083s.

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Thermal conductivities and viscosities of three pure chemicals, monoethanol amine (MEA), tetraethylene glycol dimethyl ether (TEGDME) and polyethylene glycol 200 (PEG 200) and two binary mixtures (MEA + + TEGDME and MEA + PEG 200) were measured at six temperatures: 298.15, 303.15, 308.15, 313.15, 318.15 and 323.15 K and atmospheric pressure. Measurement of thermal conductivities was based on a transient hot wire measurement setup, while viscosities were measured with a digital Stabinger SVM 3000/G2 viscometer. From these data, deviations in thermal conductivity and viscosity were calculated and fitted to the Redlich-Kister equation. Thermal conductivities of mixtures were correlated using Filippov, Jamieson, Baroncini and Rowley models, while viscosity data were correlated with the Eyring-UNIQUAC, Eyring-NRTL and McAlistermodels.

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41

Wang, Yang, Chaoyi Peng, and Weihua Zhang. "Network model for thermal conductivities of unidirectional fiber-reinforced composites." Materials Science-Poland 32, no. 4 (December 1, 2014): 533–40. http://dx.doi.org/10.2478/s13536-014-0245-6.

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AbstractAn empirical network model has been developed to predict the in-plane thermal conductivities along arbitrary directions for unidirectional fiber-reinforced composites lamina. Measurements of thermal conductivities along different orientations were carried out. Good agreement was observed between values predicted by the network model and the experimental data; compared with the established analytical models, the newly proposed network model could give values with higher precision. Therefore, this network model is helpful to get a wider and more comprehensive understanding of heat transmission characteristics of fiber-reinforced composites and can be utilized as guidance to design and fabricate laminated composites with specific directional or specific locational thermal conductivities for structures that simultaneously perform mechanical and thermal functions, i.e. multifunctional structures (MFS).

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42

OHTA, Hiromichi, YO TOMOTA, Akira KAWASAKI, Ryuzo WATANABE, and Yosio WASEDA. "Thermal Conductivities of SUS304/PSZ Composite Materials." Tetsu-to-Hagane 82, no. 9 (1996): 789–94. http://dx.doi.org/10.2355/tetsutohagane1955.82.9_789.

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Harada, Makoto, Akihisa Shioi, Tsunetoshi Miura, and Shinsuke Okumi. "Thermal conductivities of molten alkali metal halides." Industrial & Engineering Chemistry Research 31, no. 10 (October 1992): 2400–2407. http://dx.doi.org/10.1021/ie00010a021.

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44

Elsari, M., and R. Hughes. "Axial effective thermal conductivities of packed beds." Applied Thermal Engineering 22, no. 18 (December 2002): 1969–80. http://dx.doi.org/10.1016/s1359-4311(02)00117-5.

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45

Takada, Naoto, Shigenobu Matsuo, Yoshiyuki Tanaka, and Akira Sekiya. "Gaseous thermal conductivities of new hydrofluoroethers (HFEs)." Journal of Fluorine Chemistry 91, no. 1 (August 1998): 81–85. http://dx.doi.org/10.1016/s0022-1139(98)00202-4.

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46

Song, Leilei, Wei Geng, Yufen Zhao, Xiaoming Chen, and Jialu Li. "Thermal Conductivities of 2.5 Dimensional Woven Composites." Polymers and Polymer Composites 24, no. 4 (May 2016): 241–48. http://dx.doi.org/10.1177/096739111602400402.

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47

Faussurier, G., C. Blancard, P. Combis, and L. Videau. "Electrical and thermal conductivities in dense plasmas." Physics of Plasmas 21, no. 9 (September 2014): 092706. http://dx.doi.org/10.1063/1.4895509.

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Bernat, T. P., N. B. Alexander, and J. L. Kaae. "Thermal and Electrical Conductivities of Electroplated Gold." Fusion Science and Technology 51, no. 4 (May 2007): 782–85. http://dx.doi.org/10.13182/fst07-a1479.

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49

Morley, M. J. "Thermal conductivities of muscles, fats and bones." International Journal of Food Science & Technology 1, no. 4 (June 28, 2007): 303–11. http://dx.doi.org/10.1111/j.1365-2621.1966.tb02019.x.

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50

Agari, Y., and T. Uno. "Estimation on thermal conductivities of filled polymers." Journal of Applied Polymer Science 32, no. 7 (November 20, 1986): 5705–12. http://dx.doi.org/10.1002/app.1986.070320702.

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