Events5th International Electronic Conference on Entropy and Its Applications
Published
This submission belongs to the session D. Complex Systems of the event 5th International Electronic Conference on Entropy and Its Applications
Published date
17 Nov, 2019
Citation
Hirokazu Maruoka, The New Method Using Shannon Entropy to Decide the Power Exponents on JMAK Equation, in Proceedings of 5th International Electronic Conference on Entropy and Its Applications, 18 November–30 November 2019, MDPI: Basel, Switzerland, doi: 10.3390/ecea-5-06660
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The New Method Using Shannon Entropy to Decide the Power Exponents on JMAK Equation

1. United Graduate School of Agricultural Science, Tokyo University of Agriculture and Technology,3-5-8 Saiwai-cho, Fuchu-shi, Tokyo 183-8509, Japan
2. Graduate School of Science and Technology, Kwansei Gakuin University,2-1 Gakuen, Sanda-shi, Hyogo 669-1337, Japan
Abstract

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.

Keywords
JMAK equation
Shannon entropy
power law
Manuscript
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