正常晶粒长大的遗传算法模拟  

Genetic algorithm simulation of normal grain growth

作　　者：张根元[1] 徐迈里[1] 文芳[1] 陈洪莲[1] 

机构地区：[1]河海大学机电工程学院,常州213022

出　　处：《中国有色金属学报》2008年第5期903-908,共6页The Chinese Journal of Nonferrous Metals

摘　　要：引入遗传算法模拟正常晶粒长大过程,基于正常晶粒长大动力学和能量最小原理,建立晶粒长大的对应遗传规则和能量最小的适应度函数。该算法模拟结果表明:系统的晶界总周长和系统晶界能随着遗传代数的传递不断减少,系统的热力学状态趋于稳定;在5 000 GAS前后阶段的晶粒长大指数n分别为0.477和0.414,与理论值0.500相近,与正常晶粒长大的动力学规律较符合;晶粒半径分布具有Weibull函数拓朴结构形式,平均晶粒边数为5.923。遗传算法可以根据实际晶粒长大过程的约束条件对遗传规则和适应度函数进行设置,因而具有良好的柔性。The genetic algorithm method was introduced in the simulation process of grain growth. Genetic rules and fitness functions were used in the simulation based on the kinetics and the lowest energy principle of normal grain growth. The simulation results indicate that the system boundary length and boundary energy reduce unceasingly along with the increase of GAS, system＇s thermodynamics state tends to be stable. In the stage before and after the 5 000 GAS the grain growth exponent n is 0.477 and 0.414, respectively, close to the theoretical value 0.5, satisfying well to the kinetics of normal grain growth. The grain radius distribution agrees well with the Weibull function topology structural style, the average grain side is 5.923. In the genetic algorithm, the genetic rules and fitness functions may be established according to constraint condition in real grain growth process, so it has good flexibility.

关 键 词：遗传算法 遗传规则 适应度函数 晶粒 模拟 

分 类 号：TG111[金属学及工艺—物理冶金]