Avrami equation

The transformation of one phase from another by the growth of nuclei forming randomly in the parent phase

The Avrami equation describes how solids transform from one phase (state of matter) to another at constant temperature. It can specifically describe the kinetics of crystallisation, can be applied generally to other changes of phase in materials, like chemical reaction rates, and can even be meaningful in analyses of ecological systems.[1]

The equation is also known as the Johnson-Mehl-Avrami-Kolmogorov, or JMAK, equation. The equation was first derived by Kolmogorov in 1937 and popularized by Melvin Avrami in a series of papers published in the Journal of Chemical Physics from 1939 to 1941.[2][3][4]

Transformation kinetics

Typical isothermal transformation plot (top). The transformation can be described using the avrami equation as a plot of lnln(1/(1-Y)) vs ln(t) yields a straight line

Transformations are often seen to follow a characteristic s-shaped, or sigmoidal, profile where the transformation rates are low at the beginning and the end of the transformation but rapid in between.

The initial slow rate can be attributed to the time required for a significant number of nuclei of the new phase to form and begin growing. During the intermediate period the transformation is rapid as the nuclei grow into particles and consume the old phase while nuclei continue to form in the remaining parent phase.

Once the transformation begins to near completion there is little untransformed material for nuclei to form in and the production of new particles begins to slow. Further, the particles already existing begin to touch one another, forming a boundary where growth stops.


The simplest derivation of the Avrami equation makes a number of significant assumptions and simplifications:[5]

  • Nucleation occurs randomly and homogeneously over the entire untransformed portion of the material
  • The growth rate does not depend on the extent of transformation
  • Growth occurs at the same rate in all directions

If these conditions are met then a transformation of into will proceed by the nucleation of new particles at a rate per unit volume which grow at a rate into spherical particles and only stop growing when they impinge upon each other. During a time interval, , nucleation and growth can only take place in untransformed material. However, the problem is more easily solved by applying the concept of an extended volume – the volume of the new phase that would form if the entire sample was still untransformed. During the time interval τ to τ+dτ the number of nuclei, N, that appear in a sample of volume V will be given by:


Since growth is isotropic, constant and unhindered by previously transformed material each nuclei will grow into a sphere of radius and so the extended volume of due to nuclei appearing in the time interval will be:

The integration of this equation between and will yield the total extended volume that appears in the time interval

Only a fraction of this extended volume is real; some portion of it lies on previously transformed material and is virtual. Since nucleation occurs randomly, the fraction of the extended volume that forms during each time increment that is real will be proportional to the volume fraction of untransformed . Thus


and upon integration

where Y is the volume fraction of ().

Given the previous equations this can be reduced to the more familiar form of the Avrami (JMAK) equation which gives the fraction of transformed material after a hold time at a given temperature

   where       and   

This can be rewritten as:

which allows the determination of the constants n and k from a plot of lnln(1/(1-Y)) vs ln(t). If the transformation follows the Avrami equation this yields a straight line with gradient n and intercept ln K.

Interpretation of Avrami constants

There is no clear physical interpretation of the Avrami constants k and n. Originally, n was held to have an integer value between 1 and 4 which reflected the nature of the transformation in question. In the derivation above, for example, the value of 4 can be said to have contributions from three dimensions of growth and one representing a constant nucleation rate. Alternative derivations exist where n has a different value.[6]

If the nuclei are preformed, and so all present from the beginning, the transformation is only due to the 3-dimensional growth of the nuclei and n has a value of 3.

An interesting condition occurs when nucleation occurs on specific sites (such as grain boundaries or impurities) which rapidly saturate soon after the transformation begins. Initially, nucleation may be random and growth unhindered leading to high values for n (3,4). Once the nucleation sites are consumed the formation of new particles will cease.

Furthermore, if the distribution of nucleation sites is non-random then the growth may be restricted to 1 or 2-dimensions. Site saturation may lead to n values of 1, 2 or 3 for surface, edge and point sites, respectively.[7]


  1. Avramov, I (2007). "Kinetics of distribution of infections in networks". Physica A. 379: 615–620. Bibcode:2007PhyA..379..615A. doi:10.1016/j.physa.2007.02.002.
  2. Avrami, M (1939). "Kinetics of Phase Change. I. General Theory". Journal of Chemical Physics. 7 (12): 1103–1112. Bibcode:1939JChPh...7.1103A. doi:10.1063/1.1750380.
  3. Avrami, M (1940). "Kinetics of Phase Change. II. Transformation-Time Relations for Random Distribution of Nuclei". Journal of Chemical Physics. 8 (2): 212–224. Bibcode:1940JChPh...8..212A. doi:10.1063/1.1750631.
  4. Avrami, M (1941). "Kinetics of Phase Change. III. Granulation, Phase Change, and Microstructure". Journal of Chemical Physics. 9 (2): 177–184. Bibcode:1941JChPh...9..177A. doi:10.1063/1.1750872.
  5. AK Jena, MC Chaturvedi (1992). Phase Transformations in Materials. Prentice Hall. p. 243. ISBN 0-13-663055-3.
  6. AK Jena, MC Chaturvedi (1992). Phase Transformations in Materials. Prentice Hall. p. 247. ISBN 0-13-663055-3.
  7. JW Cahn (1956). "Transformation kinetics during continuous cooling". Acta Metallurgica. 4 (6): 572–575. doi:10.1016/0001-6160(56)90158-4.

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