Journal of engineering physics

, Volume 27, Issue 5, pp 1326–1330 | Cite as

Differential, difference, and integral methods of measuring temperature dependence of coefficient of thermal conductivity

  • J. Rafalowicz


A “temperature-step method” is proposed for the measurement of temperature distribution along a sample from which a differential coefficient of thermal conductivity is determined. The physical meaning of the difference coefficient of thermal conductivity as an average value for a given temperature range is emphasized. The possibility of making exact measurements of an integral coefficient of thermal conductivity is justified.


Thermal Conductivity Statistical Physic Temperature Distribution Physical Meaning Integral Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literature cited

  1. 1.
    J. Rafalowicz, K. Blacerek, B. Sujak, and E. Pega, Phys. Status Solidi (a),4, 779 (1971).Google Scholar
  2. 2.
    R. L. Garwin, Rev. Sci. Instr.,27, 826 (1956).Google Scholar
  3. 3.
    J. Rafalowicz, Acta Phys. Polon.,A42, 169 (1972).Google Scholar
  4. 4.
    G. M. Kondrat'ev, Thermal Measurements [in Russian], Moscow-Leningrad (1957).Google Scholar
  5. 5.
    G. K. White, Experimental Techniques in Low-Temperature Physics [Russian translation], Moscow (1961).Google Scholar
  6. 6.
    J. Rafalowicz, Some Remarks on Definition of Mean Heat Conductivity Coefficient, Paper Accepted for Presentation at ASTM Symposium on Contributions of Basic Heat Transmission Measurements to the Design and Behavior of Thermal Insulation Systems, April 16–17, 1973, Philadelphia.Google Scholar

Copyright information

© Plenum Publishing Corporation 1976

Authors and Affiliations

  • J. Rafalowicz
    • 1
  1. 1.Institute of Low Temperatures and Structural StudiesPolish Academy of SciencesVrotslavPoland

Personalised recommendations