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Journal articles on the topic 'Conductivity'

To see the other types of publications on this topic, follow the link: Conductivity.

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2024

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1

Tamasan, A., and A. Timonov. "COUPLED PHYSICS ELECTRICAL CONDUCTIVITY IMAGING." Eurasian Journal of Mathematical and Computer Applications 2, no. 1 (2014): 5–29. http://dx.doi.org/10.32523/2306-3172-2014-2-2-5-29.

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2

Tamasan, A., and A. Timonov. "COUPLED PHYSICS ELECTRICAL CONDUCTIVITY IMAGING." Eurasian Journal of Mathematical and Computer Applications 2, no. 3 (2014): 5–29. http://dx.doi.org/10.32523/2306-3172-2014-2-3-5-29.

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3

Romano, Claudia, Brent T. Poe, James Tyburczy, and Fabrizio Nestola. "Electrical conductivity of hydrous wadsleyite." European Journal of Mineralogy 21, no. 3 (June 29, 2009): 615–22. http://dx.doi.org/10.1127/0935-1221/2009/0021-1933.

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4

Donovan, Ryan, Karyanto Karyanto, and Ordas Dewanto. "STUDI SIFAT TERMAL BATUAN DAERAH LAPANGAN PANAS BUMI WAY RATAI BERDASARKAN PENGUKURAN METODE KONDUKTIVITAS TERMAL." Jurnal Geofisika Eksplorasi 4, no. 3 (January 17, 2020): 103–19. http://dx.doi.org/10.23960/jge.v4i3.44.

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Research on Way Ratai geothermal field has been done by measuring the thermal conductivity method. The thermal conductivity data is used to generate a map of the dispersion of heat conductively conductive rocks in the geothermal system. The result of measurement by thermal conductivity method in Way Ratai geothermal field is data of k (conductivity), Rt (thermal resistivity), and T (temperature). The value of the measured conductivity data in the geothermal field has range between 0.056-0.664 W/mK, the measured thermal resistivity value has range between 1.344-17.527mK/W, and the measured temperature value is between 22.68-52.59°C. The difference value of rock’s thermal conductivity is influenced by several factors, which is the existing geological structures in the field such as normal faults and lineaments, the presence of alteration, also the manifestation zone of hot water or hot vapor that caused from fumaroles.

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5

Hawkes, Stephen J. "Conductivity." Journal of Chemical Education 86, no. 4 (April 2009): 431. http://dx.doi.org/10.1021/ed086p431.

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6

Bohuslávek, Zdeněk. "The measurement method of meat conductivity." Czech Journal of Food Sciences 36, No. 5 (November 8, 2018): 372–77. http://dx.doi.org/10.17221/164/2018-cjfs.

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This paper analyses the properties of electrode methods and contactless inductive methods of the conductivity measurement of biological tissue, which are one of the few which are able to measure the potentials of corresponding components of complex conductivity, i.e. the real reactive conductivity of a resistive and an imaginary component. The analysis was performed by computer modelling and experimental measurements. The publication describes the modelling of currents and of the potential by electrode and methods on tissue phantoms using the finite element method. The Comsol Multiphysics v3.4 program was used for the calculations. The results are presented in 2D and 3D diagrams. Experimental measurements with electrodes in phantom tissues with different conductivity were also conducted and the components of the complex conductivity were evaluated with an RLC Bridge and most accurately by using a lock-in amplifier. Results and experience from the experiments will make it possible to proceed with the next phase of research focused on measuring conductivity and dielectric properties in different types of meat.

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7

Dixit, Chandra Kumar, and Mohd Tauqeer Mohd. Tauqeer. "Conductivity Studies of Multilayer Thin Films." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 145–46. http://dx.doi.org/10.15373/22778179/may2013/51.

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8

Zhanabaev, Z. Zh, T. Yu Grevtseva, and M. K. Ibraimov. "Electrical conductivity of silicon quantum nanowires." Physical Sciences and Technology 2, no. 1 (2015): 37–43. http://dx.doi.org/10.26577/2409-6121-2015-2-1-37-43.

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9

dos Santos, Roberto Aguiar, Bruno Guimarães Delgado, Ana Luisa Cezar Rissoli, João Paulo de Sousa Silva, and Michéle Dal Toé Casagrande. "Influence of initial compaction and confining pressure on the hydraulic conductivity of compacted iron ore tailings." E3S Web of Conferences 544 (2024): 14005. http://dx.doi.org/10.1051/e3sconf/202454414005.

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The hydraulic conductivity of iron tailings is an important factor affecting the stability of tailings storage facilities. Stacking compacted filtered ore tailings is a promising alternative for safer tailings disposal. These tailings storage facilities’ internal drainage systems must be designed appropriately to avoid excessive seepage pressure, saturation, and slope failure. In this context, the factors that affect hydraulic conductivity must be adequately evaluated. Therefore, the hydraulic conductivity behavior of compacted iron ore tailings still needs to be investigated. In addition, the effect of high confining pressure on hydraulic conductivity needs to be evaluated. This study investigates the impact of the initial compaction and the confining pressure on hydraulic conductivity. For this, the flexible wall permeameter tests were carried out on filtered ore tailings compacted in three degrees of compaction: 77, 94, and 101% of optimum dry density as determined by the standard Proctor method. These specimens were saturated and then consolidated with different confining pressure. It is possible to affirm that the increased confining pressure decreases the hydraulic conductivity. The hydraulic conductivity decreases by less than one order of magnitude, regardless of the initial compaction. Moreover, the data suggest that hydraulic conductivity’s decay rate depends on initial compaction—the hydraulic conductivity of the loose specimen decays at a greater rate than that of the dense specimens. However, the reductions of the void ratio under the confining pressure of 1600 kPa and 2200 kPa were not enough to decrease the hydraulic conductivity. Thus, under high-stress confining, the hydraulic conductivity becomes practically constant.

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10

Sural, M., and A. Ghosh. "Electrical conductivity and conductivity relaxation in glasses." Journal of Physics: Condensed Matter 10, no. 47 (November 30, 1998): 10577–86. http://dx.doi.org/10.1088/0953-8984/10/47/009.

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11

García, N. J., and J. C. Bazán. "Electrical conductivity of montmorillonite as a function of relative humidity: La-montmorillonite." Clay Minerals 44, no. 1 (March 2009): 81–88. http://dx.doi.org/10.1180/claymin.2009.044.1.81.

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AbstractThe conductivity of La-montmorillonite was measured in the domain of water relative pressures (p/p0) of <1, and compared with the conductivites of Li- and Na-montmorillonite. La-montmorillonite shows smaller conductivity over the whole range of p/p0 studied. To explain this, theoretical considerations of the polarizing power and of the local stacking order induced by the exchangeable cation were addressed.

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12

Szurgot, Marian A. "O przewodności cieplnej meteorytu Jezersko." Nafta-Gaz 77, no. 1 (January 2021): 10–19. http://dx.doi.org/10.18668/ng.2021.01.02.

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The thermal conductivity (K) of Jezersko H4 meteorite was predicted by various models of rocks, using literature data on the chemical composition, porosity (P), and by relationships between thermal conductivity and porosity, and between thermal conductivity and thermal diffusivity (D). The results confirm that the porosity of the chondrite and air pressure significantly affect thermal conductivity. The thermal conductivity of the chondrite skeleton/matrix predicted by the modal composition of the meteorite and by the geometric mean model is equal to 4.35 W m−1 K−1, and by arithmetic and harmonic mean models: 4.9 W m−1 K−1at 300 K. Bulk thermal conductivity of the meteorite predicted by the geometric mean model is equal to 2.6 W m-1 K-1 for air pressure of 1 atm, and 1.0 W m−1 K−1in vacuum at 300 K. The Hashin–Shtrikman model predicts the values: 2.4 and 1.9 W m−1 K−1, the Clausius–Mossotti model: 2.2 and 1.9 W m-1 K-1, and the mean of two-layer models: 2.1 and 2.0 W m−1 K−1 at 300 K, for air pressure of 1 atm, and in vacuum, respectively. The relationships between thermal conductivity and porosity based on experimental data for ordinary chondrites indicate a mean K value for bulk thermal conductivity of the Jezersko meteorite in vacuum: 1.18 W m−1 K−1, and between thermal conductivity and thermal diffusivity the mean value: 1.12 W m−1 K−1at 200–300 K. The mean value for all predictions for bulk thermal conductivity of the meteorite for air at 1 atm is equal to 2.45 ± 0.30 W m−1 K−1 (range: 2.0–2.9 W m−1 K−1) at 300 K, and in vacuum: 1.40 ± 0.40 W m−1 K−1 (range: 0.95–2.0 W m−1 K−1) at 200–300 K. Predicted values of bulk thermal conductivity of the Jezersko meteorite, for air and in vacuum, are in the range of values recently reported by Soini et al. (2020) for the H4 group of chondrites: 2.8 ± 0.6 W m−1 K−1, mean K for air at 1 atm, and 1.9 ± 1.0 W m−1 K−1 mean K value in vacuum at 200–300 K.

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13

Tong, D. "Holographic Conductivity." Acta Physica Polonica B 44, no. 12 (2013): 2579. http://dx.doi.org/10.5506/aphyspolb.44.2579.

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14

Jayaraman, K. S. "Super conductivity." Nature 326, no. 6110 (March 1987): 237. http://dx.doi.org/10.1038/326237d0.

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15

SATO, MASA-AKI. "Electrical Conductivity." Sen'i Gakkaishi 44, no. 9 (1988): P328—P329. http://dx.doi.org/10.2115/fiber.44.9_p328.

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16

Bradley, David. "Cementing conductivity." Materials Today 16, no. 6 (June 2013): 206. http://dx.doi.org/10.1016/j.mattod.2013.06.009.

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17

Funke, Klaus, and Cornelia Cramer. "Conductivity spectroscopy." Current Opinion in Solid State and Materials Science 2, no. 4 (August 1997): 483–90. http://dx.doi.org/10.1016/s1359-0286(97)80094-0.

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18

Stajic, J. "Unexpected Conductivity." Science 340, no. 6138 (June 13, 2013): 1267. http://dx.doi.org/10.1126/science.340.6138.1267-b.

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19

Hershey, David R., and Susan Sand. "Electrical Conductivity." Science Activities: Classroom Projects and Curriculum Ideas 30, no. 1 (March 1993): 32–35. http://dx.doi.org/10.1080/00368121.1993.10113079.

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20

Emerson, Don. "Bornite conductivity." Preview 2022, no. 220 (September 3, 2022): 41–43. http://dx.doi.org/10.1080/14432471.2022.2127673.

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21

Ploshinskii, A. V., V. N. Khazhuev, and I. V. Khakhamov. "Conductivity comparator." Measurement Techniques 28, no. 10 (October 1985): 904–7. http://dx.doi.org/10.1007/bf00861775.

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22

Colby, Ralph H., David C. Boris, Wendy E. Krause, and Julia S. Tan. "Polyelectrolyte conductivity." Journal of Polymer Science Part B: Polymer Physics 35, no. 17 (December 1997): 2951–60. http://dx.doi.org/10.1002/(sici)1099-0488(199712)35:17<2951::aid-polb18>3.0.co;2-6.

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23

Light, Truman S., Edward J. McHale, and Kenneth S. Fletcher. "Electrodeless conductivity." Talanta 36, no. 1-2 (January 1989): 235–41. http://dx.doi.org/10.1016/0039-9140(89)80101-8.

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24

Alfeel, Faten, Fowzi Awad, and Fadi Qamar. "Changes of Thermal Conductivity , Optical Conductivity and Electric Conductivity of Porous Silicon with Porosity." Journal of New Technology and Materials 3, no. 1 (2013): 56–60. http://dx.doi.org/10.12816/0010281.

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25

Kalyane, Sangshetty. "AC Conductivity study on Polyaniline-Pr2O3 Composites." Indian Journal of Applied Research 3, no. 6 (October 1, 2011): 1–3. http://dx.doi.org/10.15373/2249555x/june2013/179.

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26

Kakade, Shubhangi, and Akanksha Jadhav. "Hydraulic Conductivity of Soil Using Guelph Permeameter." Journal of Advances and Scholarly Researches in Allied Education 15, no. 2 (April 1, 2018): 487–90. http://dx.doi.org/10.29070/15/56874.

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27

Kalyane, Sangshetty. "AC Conductivity study of Polyaniline – CeO2 Composites." International Journal of Scientific Research 2, no. 4 (June 1, 2012): 332–33. http://dx.doi.org/10.15373/22778179/apr2013/120.

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28

Anderson, D. W., R. Viskanta, and F. P. Incropera. "Effective Thermal Conductivity of Coal Ash Deposits at Moderate to High Temperatures." Journal of Engineering for Gas Turbines and Power 109, no. 2 (April 1, 1987): 215–21. http://dx.doi.org/10.1115/1.3240027.

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The effective thermal conductivity of coal ash deposits strongly influences heat transfer in pulverized coal-fired boilers. In this study thermal conductivity measurements were performed over a wide range of temperatures for fly ash, slagging deposits, and fouling deposits. The effects of ash particle size, thermal history, and physical structure of the deposit are discussed. Thermal history and deposit structure were observed to have the greatest influence on the local thermal conductivty, which increased by an order of magnitude with particle melting. Conductivities for solid-porous deposits were twice those of the same sample in particulate form.

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29

Hunter, Don, and James Macnae. "Subsurface conductivity structure as approximated by conductivity-depth transforms." ASEG Extended Abstracts 2001, no. 1 (December 2001): 1–4. http://dx.doi.org/10.1071/aseg2001ab061.

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30

Kim, Jinwook, Hyunwook Choo, Changho Lee, and Woojin Lee. "Relationship between Hydraulic Conductivity and Electrical Conductivity in Sands." Journal of the Korean Geotechnical Society 31, no. 6 (June 30, 2015): 45–58. http://dx.doi.org/10.7843/kgs.2015.31.6.45.

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31

Garboczi, E. J., and J. F. Douglas. "Intrinsic conductivity of objects having arbitrary shape and conductivity." Physical Review E 53, no. 6 (June 1, 1996): 6169–80. http://dx.doi.org/10.1103/physreve.53.6169.

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32

Javadi, H. H. S., F. Zuo, M. Angelopoulos, A. G. Macdiarmid, and A. J. Epstein. "Frequency Dependent Conductivity of Emeraldine: Absence of Protonic Conductivity." Molecular Crystals and Liquid Crystals Incorporating Nonlinear Optics 160, no. 1 (January 1988): 225–33. http://dx.doi.org/10.1080/15421408808083017.

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33

Schimmel, Th, M. Schwoerer, and H. Naarmann. "Mechanisms limiting the d.c. conductivity of high-conductivity polyacetylene." Synthetic Metals 37, no. 1-3 (August 1990): 1–6. http://dx.doi.org/10.1016/0379-6779(90)90116-3.

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34

NOTO, Koshichi. "Thermal Conductivity of Superconductors("Super conductivity and its Application")." Journal of the Society of Mechanical Engineers 91, no. 835 (1988): 571–73. http://dx.doi.org/10.1299/jsmemag.91.835_571.

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35

Rhodes, Robert, Trevor Moeller, and Dennis Keefer. "Electrical Conductivity Measurements via a Low-Voltage Conductivity Channel." IEEE Transactions on Plasma Science 40, no. 4 (April 2012): 972–79. http://dx.doi.org/10.1109/tps.2012.2185813.

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36

Ragimov, S. S., A. A. Saddinova, and A. I. Aliyeva. "Mechanism of Electrical Conductivity and Thermal Conductivity in AgSbSe2." Russian Physics Journal 62, no. 6 (October 2019): 1077–81. http://dx.doi.org/10.1007/s11182-019-01817-6.

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37

El-Desoky, M. M., and H. S. Ragab. "Ionic conductivity and conductivity relaxation of potassium tellurite glasses." physica status solidi (a) 202, no. 6 (May 2005): 1088–95. http://dx.doi.org/10.1002/pssa.200420011.

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38

Bubela, Tetiana, and Viktoriia Moiseieva. "STUDY OF THE METROLOGICAL CHARACTERISTICS OF CONDUCTIVITY SENSORS." Measuring Equipment and Metrology 83, no. 1 (2022): 41–47. http://dx.doi.org/10.23939/istcmtm2022.01.041.

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Conductivity measurement is a universal method of process control. Measurement is fast and straightforward, and most modern sensors only require little maintenance. The measured conductivity value is applied to obtain different assumptions about what happens in the substance, so such measurements are relevant when controlling technological processes and products in various industries (e.g., food, pharmaceutical). The main metrological characteristics of sensors for measuring conductivity LDL100, LDL200 are analyzed in the article. Studies have been carried out for various objects: non-carbonated mineral water, fruit juice, and tap water.

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39

Mou, Jia Nye, Mao Tang Yao, and Ke Xiang Zheng. "Acid Fracture Conductivity Behavior of Tahe Carbonate: High Closure Stress, Long-Term Conductivity, and Composite Conductivity." Advanced Materials Research 1042 (October 2014): 44–51. http://dx.doi.org/10.4028/www.scientific.net/amr.1042.44.

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Acid fracture conductivity is a key parameter in acid fracturing designs and production performance prediction. It depends on the fracture surface etching pattern, rock mechanical properties, and closure stress. The fracture surfaces undergo creep deformation under closure stress during production. Preservation of fracture conductivity becomes a challenge at elevated closure stress. In this paper, we investigated acid fracture conductivity behavior of Tahe deep carbonate reservoir with high closure stress and high temperature. A series of acid fracture conductivity experiment was conducted in a laboratory facility designed to perform acid fracture conductivity. Gelled acid and cross linked acid with different acid-rock contact times were tested for analyzing the effect of acid type and acid-rock contact time on the resulting conductivity. Closure stress up to 100MPa was tested to verify the feasibility of acid fracturing for elevated closure stress. Long-term conductivity up to 7-day was tested to determine the capability of conductivity retaining after creep deformation. Composite conductivity of acid fracture with prop pant was also carried out. The study shows that the fracture retained enough conductivity even under effective closure stress of 70MPa. The gelled acid has a much higher conductivity than the cross linked acid for the same contact time. For the gelled acid, contact time above 60-minute does not lead to conductivity increase. Acid fracture with prop pant has a lower conductivity at low closure stress and a higher conductivity at high closure stress than the acid fracture, which shows composite conductivity is a feasible way to raise conductivity at high closure stress. The long-term conductivity tests show that the acid fracture conductivity decreases fast within the first 48-hour and then levels off. The conductivity keeps stable after 120-hour. An acid fracture conductivity correlation was also developed for this reservoir.

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40

Wu, Cheng Bao, Yu Fen Yang, Sheng Xiao Zhu, Xiao Ling Ren, and Fu Tao Zhao. "Grey Relational Analysis between Particle Size Distribution of Power Storage Porous Ceramsite and Thermal Conductivity of PCM Gypsum Board." Advanced Materials Research 158 (November 2010): 130–39. http://dx.doi.org/10.4028/www.scientific.net/amr.158.130.

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Phase change materials (PCMs) can be incorporated with building materials to obtain novel form-stable composite PCM which has effective energy storage performance in latent heat thermal energy storage (LHTES) systems. In this study, the PCM gypsum boards were prepared by mixing the gypsum with the power storage composite prepared by mixing with the paraffin as latent heat storage material, porous ceramsite skeleton with different particle size distribution (PSD) as adsorption matrix, and sodium alginate as reaction material. The PSD of power storage porous ceramsite were obtained by using digital camera and image process software, and the conductivity factor of PCM gypsum boards were measured by heat test machine. The directed grey relational grades between the PSD and the conductivity factor were calculated by means of grey relational rule in order to investigate the influence of PSD on the conductivity property of PCM gypsum boards. The results indicated that the porous ceramsite with size ranging from 0 to 3.0 mm could enhance the conductivity property of PCM gypsum board slightly, the porous ceramsite with size in a range from 3.0 to 14.0 mm, especially those with size range from 3.0 to 4.0 mm could obviously weaken the conductivety property of PCM gypsum board.

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41

Husenkhan, Dawalappa B., T. Sankarappa, and Amarkumar Malge. "DC Conductivity of Lithium-Zinc-Boro- Phosphate Glasses." Indian Journal of Science and Technology 14, no. 46 (December 12, 2021): 3416–24. http://dx.doi.org/10.17485/ijst/v14i46.1890.

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42

Aneli, Jimsher, Gennady Zaikov, and Omar Mukbaniani. "Electric Conductivity of Polymer Composites at Mechanical Relaxation." Chemistry & Chemical Technology 5, no. 2 (June 15, 2011): 187–90. http://dx.doi.org/10.23939/chcht05.02.187.

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43

Nakane, Koji, Shinya Ichikawa, Shuya Gao, Mikita Seto, Satoshi Irie, Susumu Yonezawa, and Nobuo Ogata. "Thermal Conductivity of Polyurethane Sheets Containing Alumina Nanofibers." Sen'i Gakkaishi 71, no. 1 (2015): 1–5. http://dx.doi.org/10.2115/fiber.71.1.

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44

Ramazanov, T. S., and Zh A. Moldabekov. "Dynamical collision frequency and conductivity of dense plasmas." Physical Sciences and Technology 2, no. 2 (2015): 53–57. http://dx.doi.org/10.26577/2409-6121-2015-2-2-53-57.

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45

Voyevodin, V. N. "Low-temperature anomalies of the hardened tin conductivity." Functional materials 22, no. 4 (December 15, 2015): 470–74. http://dx.doi.org/10.15407/fm22.04.470.

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46

Ono, Shigeaki, and Kenji Mibe. "Electrical conductivity of aragonite in the subducted slab." European Journal of Mineralogy 25, no. 1 (February 11, 2013): 11–15. http://dx.doi.org/10.1127/0935-1221/2013/0025-2254.

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47

Kutcherov, V. G. "Теплопроводность нефтей при высоком давлении." Chemistry and Technology of Fuels and Oils 634, no. 6 (2022): 54–56. http://dx.doi.org/10.32935/0023-1169-2022-634-6-54-56.

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The results of measuring the thermal conductivity and the relative volume of two samples of crude oils with a pressure change of up to 1 GPa at room temperature are presented. It is shown that the dependence of thermal conductivity on pressure isa linear function, depends on the isothermal compressibility of the liquid, and always increases with increasing pressure.

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48

Bybee, Karen. "Multilateral Junction Conductivity." Journal of Petroleum Technology 54, no. 07 (July 1, 2002): 53–68. http://dx.doi.org/10.2118/0702-0053-jpt.

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49

Croft, Paul J., Mark D. Shulman, and Roni Avissar. "Cranberry Stomatal Conductivity." HortScience 28, no. 11 (November 1993): 1114–16. http://dx.doi.org/10.21273/hortsci.28.11.1114.

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Cranberry (Vaccinium macrocarpon Ericaceae Ait.) stomatal conductivity (SC) was investigated in the field to examine plant response as a function of weather conditions. Measurements were made during fruit maturation on 14 days between 0540 and 1710 h r, as weather conditions permitted. SC ranged from 0.02 to 0.08 cm·s-1 and was much lower than for most other crops. Scatter plots of SC vs. leaf temperature by day indicated only a weak linear relationship. When the data were stratified by time of day and by clear and overcast skies, several significant Pearson correlation coefficients suggested a stomatal response. The findings, when combined with current knowledge of the physical structure of cranberry stomata, suggest that cranberries behave as xeromorphic plants.

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50

Vonlanthen, P., S. Paschen, D. Pushin, A. D. Bianchi, H. R. Ott, J. L. Sarrao, and Z. Fisk. "Thermal conductivity ofEuB6." Physical Review B 62, no. 5 (August 1, 2000): 3246–50. http://dx.doi.org/10.1103/physrevb.62.3246.

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