JMAK (Johnson-Mehl-Avrami-Kolmogorov) equation is exponential equation inserted power-law behavior on the parameter, which is widely utilized to describe relaxation process, nucleation process, deformation of materials and so on. Theoretically the power exponent is occasionally associated with geometrical factor of nucleus, which gives integral power exponent. However, non-integral power exponents occasionally appear and they are sometimes considered as phenomenological in the experiment. On the other hand, the power exponent decides the distribution of step-time when the equation is considered as the superposition of step function. This work intends to extend the interpretation of power exponent by the new method associating Shannon entropy of distribution of step-time with the method of Lagrange multiplier in which cumulants or moments obtained from distribution function are preserved. This method intends to decide the distribution of step-time through power exponent, in which certain statistical values are fixed. The Shannon entropy introduced the second cumulant gives fractional power exponents that reveal symmetrical distribution function that can be compared with the experimental results. Various power exponents in which other statistical value is fixed are discussed with physical interpretation. This work gives new insight into the JMAK function and the method of Shannon entropy in general.
The New Method Using Shannon Entropy to Decide the Power Exponents on JMAK Equation
Published: 17 November 2019 by MDPI AG in 5th International Electronic Conference on Entropy and Its Applications session Complex Systems
Keywords: JMAK equation ; Shannon entropy ; power law