An Evolutionary Algorithm for the Texture Analysis of Cubic System Materials Derived by the Maximum Entropy Principle

Entropy

Dapeng Wang²  Dazhi Wang³  Baolin Wu²  Fu Wang¹ 

[1] School of Materials and Metallurgy, Northeastern University, Shenyang 110189, China; E-Mails:;School of Materials Science and Engineering, Shenyang Aerospace University, Shenyang 110136, China; E-Mail:;School of Information Science and Engineering, Northeastern University, Shenyang 110189, China; E-Mail:

关键词: orientation distribution function (ODF);    differential evolution (DE);    maximum entropy method (MEM);    initial solution;    pole figure;   

DOI  :  10.3390/e16126477

来源: mdpi

【 摘 要 】

Based on the principle of maximum entropy method (MEM) for quantitative texture analysis, the differential evolution (DE) algorithm was effectively introduced. Using a DE-optimized algorithm with a faster but more stable convergence rate of iteration, more reliable complete orientation distribution functions (C-ODF) have been obtained for deep-drawn IF steel sheets and the recrystallized aluminum foils after cold-rolling, which are both designated as the macroscopic cubic-orthogonal symmetry. With special reference to the data processing, no more other assumptions are required for DE-optimized MEM except that the system entropy approaches the maximum.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland