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ID:45787048
大小:741.80 KB
页数:31页
时间:2019-11-17
《凝固相变晶粒形核长大的数值模拟【毕业论文,绝对】》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
1、摘要木文主要是把遗传算法(简称GA方法)的基本原理和基本思想川于到材料科学屮模拟液态金属凝固结晶过程中的晶粒形核并长人,并且模拟了晶粒形核过程中的无规则运动模型。在此基础上,通过使用VB编程语言编程实现了用GA方法进行组织结构模拟。文中详细地介绍了凝固相变原理,揭示了品粒形核和长大的热力学和动力学。在具体模拟过程中,本算法基于最小能量原理和晶粒形核长大的动力学这两个基本原则进行模拟的,简单介绍了GA方法及其发展历程以及VB编程模拟系统,详细叙述了GA模拟方法,以及在二维坐标中用200X200个方形晶格点元素模拟
2、品粒形核并氏大的过程和品粒无规则运动的模型。模拟结杲揭示了GA方法在模拟微观组织过程中的重要作用,该算例也说明了GA方法在模拟品粒长大过程方面的直观性和冇效性,并FL简介GA方法在材料加工屮其他应用。最后,对晶粒长大的GA模拟进行总结。并归纳总结所用模拟算法的优缺点。在此基础上对所作课题做出展望。关键词:遗传算法;凝固;晶粒形核:晶粒长大;模拟ABSTRACTThisarticlemainlyisthegeneticalgorithm(thei.e.GAmethod)ofthebasicprincipleand
3、thebasicthoughtuseinthematerialsscienceinthesimulationliquidmetalcoagulationcrystallizationprocesscrystalgrainshapenucleusandgrowup,andhassimulatedinthecrystalgrainshapenuclearprocessnon-regularmovementmodel・Inthisfoundation,throughusedtheVBprogramminglangua
4、geprogrammingtorealizehascarriedontheorganizationalstructuresimulationwiththeGAmethod・Inthearticleintroducedindetailtheprincipleofthecoagulationchanges,haspromulgatedthecrystalgrainshapenucleusandcoarseningthermodynamicsanddynamics.Intheconcretesimulationpro
5、cess,thisalgorithmcarriesonthesimulationbasedonthesmallestenergyprincipleandcrystalgrainshapenucleuscoarseningdynamicsthesetwobasicprinciples,introducedsimplytheGAmethodandthedevelopmentcourseaswellasthevbprogramminganalogoussystem,narratedtheGAsimulationmet
6、hodindetail,aswellasinthetwo-dimensionalcoordinatestheprocessandthecrystalgrainnon-regularmovementmodelwhichandgrowsupwiththe200x200squareshapelatticepointelementsimulationcrystalgrainshapenucleus・TheanalogueresulthaspromulgatedtheGAmethodinthesimulationmicr
7、oscopicorganizationprocessvitalrole,thisexamplealsoshowedtheGAmethodinthesimulationmicroscopicorganizationprocessvitalrole,thisexamplealsoshowedtheGAmethodinsimulationcrystalgrowthprocessaspectintuitiveandthevalidity,andintroducestheGAmethodinthematerialproc
8、essingotherapplications.Finally,carriesonthesummarytothecrystalgrowthGAsimulation.Andinducessummarizesusesthesimulationalgorithmthegoodandbadpoints.Tomakesthetopicinthisfoundationtomaketheforeca
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