The Relation between the Heat of Melting Point, Boiling Point, and the Activation Energy of Self-Diffusion in Accordance with the Concept of Randomized Particles

DOI: 10.4236/ojpc.2014.44019   PDF   HTML   XML   4,433 Downloads   5,714 Views   Citations

Abstract

On the example of typical metals, it’s found that the activation energy of self-diffusion is above of the melting heat and below of vaporization heat. This corresponds to the existence of liquid-mobile particle classification based on the concept of randomized particles. A formula for estimating the activation energy of self-diffusion by which it is approximately half of the heat of evaporation of the substance is recommended. We derive the temperature dependence for a fraction self-diffusion’s particles.

Share and Cite:

Malyshev, V. and Makasheva, A. (2014) The Relation between the Heat of Melting Point, Boiling Point, and the Activation Energy of Self-Diffusion in Accordance with the Concept of Randomized Particles. Open Journal of Physical Chemistry, 4, 166-172. doi: 10.4236/ojpc.2014.44019.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Dritz, M.E. (1985) Element Properties: Refer. In: Dritz, M.E., Ed., Metallurgy, Moscow, 672.
[2] Boltzmann, L. (1984) Selected Works. Molecular-Kinetic Theory of Gases. Thermodynamics. Statistical Mechanics. The Theory of Radiation. Common Questions of Physics. Nauka, Moscow, 590.
[3] Leontovich, M. (1983) Introduction to Thermodynamics. Statistical Physics. High School, Moscow, 416.
[4] Malyshev, V. and Nurmagambetova (Makasheva), A. (2004) United Interpretation of Aggregate Substance Conditions by Degree of Its Chaotization. Eurasian Physical technicaljournal, 2, 10-14.
[5] Malyshev, V., Bekturganov, N., Turdukozhaeva (Makasheva), A. and Suleimenov, T. (2009) Concepts and According to the Concept of the Chaotical Particles. Bulletin of the National Academy of Engineering, 1, 71-85.
[6] Malyshev, V., Turdukozhaeva, A. and Suleimenov, T. (2009) Virtuality Solid, Liquid and Gaseous States of Matter. Encyclopedia of Chemist and Engineer, 12, 13-23.
[7] Malyshev, V. and Turdukozhaeva, A. (2011) Boltzmann Distribution as a Basis of the Concept of Randomized Particles. Industrial Technology and Engineering, 1, 61-76.
[8] Malyshev, V., Abdrakhmanov, B. and Nurmagambetova, A. (2004) Fusibility and Plasticity of Metals. Scientific World, Moscow, 148.
[9] Nalimov, V.V. (1977) The Theory of the Experiment. Nauka, Moscow, 207.
[10] Ruzinov, L.P. (1972) Statistical Methods for Optimization of Chemical Processes. Chimiya, Moscow, 486.
[11] Dukarsky, O.M. and Zakurdaev, A.G. (1971) Statistical Analysis and Data on the “Minsk-22”. Statistica, Moscow, 179.
[12] Siskov, V.I. (1975) Correlation Analysis in Economic Research. Statistica, Moscow, 168.
[13] Shannon, K.E. (1978) Simulation Modeling Systems—The Art and Science. Mir, Moscow, 418.
[14] Malyshev, V. (2000) The Definition of the Experimental Error, and the Adequacy of the Confidence Interval Approximating Functions. Bulletin of National Academy of Sciences of Kazakhstan, 4, 22-30.
[15] Soroko, E.M. (1985) Managing the Development of Socio-Economic Structures. Nauka I Technika, Minsk, 144.
[16] Malyshev, V., Turdukozhaeva, A. and Ospanov, E. (2010) Evaporation and Boiling of Simple Substances. Scientific World, Moscow, 304.
[17] Malyshev, V., Bekturganov, N. and Turdukozhaeva, A. (2012) Viscosity, Flow and Density of the Substance as a Measure of Chaos. Scientific World, Moscow, 288.

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.