无芯棒楔横轧铝合金空心轴微观组织演变规律

铝合金空心轴在楔横轧轧制过程中,其微观组织的演变对轧件的力学性能有重要影响.为得到无芯棒楔横轧铝合金空心轴的微观组织演变规律,通过有限元软件Deform-3D构建有限元模型.对微观组织演变过程进行数值模拟,研究了轧制温度、断面收缩率、展宽角和成形角4个参数对轧件平均晶粒尺寸的影响规律.并通过元胞自动机法揭示了工艺参数与...     

基于元胞自动机的固液吸附动力学模型研究

根据固液吸附机理和元胞自动机的特征,建立生物质吸附动力学的元胞自动机模型,以数字矩阵为表现形式,以matlab为开发工具实现模型的可视化编程,并进行了仿真实验.结果表明,该模型能够形象地描述固-液吸附的演化行为,实现了生物质吸附剂对亚甲基蓝吸附过程的动态可视化模拟,演化动力学符合拟二级动力学方程.通过对所建模型的应用分析,为固液吸附系统建模、仿真提供了新思路.     

晶粒长大动力学的计算机模拟

利用元胞自动机模型研究了2维晶粒长大的动力学,模型将微观结构映射到离散的格点上进行研究;微观结构演化的研究是通过考察晶粒大小和形状随时间的变化来实现的。精确地再现了文献中理论推导的结果;研究了复杂结构下的晶粒长大动力学曲线;考察了控制参数对于晶粒长大动力学过程的影响;并具有一定的一般性,可以用于多种情况下的模拟。     

扩散过程的元胞自动机模拟

以元胞自动机为研究方法,通过编写Matlab程序,以演化示意图的形式,模拟了圆域内的扩散过程,给出了累积演化率曲线.同时,用微积分的方法,解析了该扩散过程,并结合实例与元胞自动机方法对比.研究证明,元胞自动机可以生动形象地模拟扩散过程,且与微积分得到的结论一致.     

扩散过程的元胞自动机模拟

以元胞自动机为研究方法,通过编写Matlab程序,以演化示意图的形式,模拟了圆域内的扩散过程,给出了累积演化率曲线．同时,用微积分的方法,解析了该扩散过程,并结合实例与元胞自动机方法对比．研究证明．元胞自动机可以生动形象地模拟扩散过程,且与微积分得到的结论一致．     

晶粒长大动力学的计算机模拟

利用元胞自动机模型研究了2维晶粒长大的动力学，模型将微观结构映射到离散的格点上进行研究；微观结构演化的研究是通过考察晶粒大小和形状随时间的变化来实现的。精确地再现了文献中理论推导的结果；研究了复杂结构下的晶粒长大动力学曲线；考察了控制参数对于晶粒长大动力学过程的影响；并具有一定的一般性，可以用于多种情况下的模拟。     

枝晶生长的元胞自动机模拟

元胞自动机是复杂体系的一种理想化模型，特别适合于处理那些难以用数学定量描述的复杂动态体系问题如材料的组织结构演变问题，尤其适合于计算机模拟实施。本文使用元胞自动机模型根据最基本的物理学原理和温度场模拟计算耦合，得到了枝晶的生长结构。由于本模型没有引用微观研究中关于枝晶的特殊理论，因此可以将这种结果看做是通用模型的一种特殊情况。这说明：元胞自动机模型除了能够完成对于微观结构的模拟以外，还特别适合于基机理的研究。     

基于元胞自动机AZ31镁合金固溶处理研究

镁合金具有导热导电性好、电磁屏蔽性能优越、与环境相容性良好等诸多优点。但是镁合金在室温下塑性较差,导致其在轧制过程中易出现裂纹从而影响其质量。为了有效提高其可塑性,在加工前往往需要对其进行固溶处理。基于此,通过金相实验,得到AZ31镁合金管材原始晶粒组织,基于晶粒长大的热力学机制、曲率驱动机制和能量耗散机制,建立元胞自动机模型,针对镁合金建立了三大晶粒演变规则,研究AZ31镁合金在不同温度和不同时间下晶粒演变规律与边数变化情况,最终获得晶粒均匀分布且以六边形为主的微观组织。通过晶粒长大拓扑学分析与晶粒尺寸分布统计,得出晶粒尺寸在不同温度和时间内呈正态分布,其中六边形晶粒最多;在此基础上,建立固溶情况下的晶粒长大数学模型,合理预测并控制AZ31镁合金固溶后的晶粒尺寸和最终性能,分析了晶粒长大动力学,得出镁合金生长指数为0.87,并通过实验验证了元胞自动机模型的正确性和合理性,为研究镁合金在变形过程中的晶粒演变奠定基础。     

元胞自动机法在316LN不锈钢晶粒长大过程模拟中的应用

结合晶粒长大过程中的物理基础,采用热激活、曲率驱动和能量耗散机制,引入能量降幅最大判据,建立了描述316LN不锈钢晶粒正常长大的元胞自动机模型,对316LN不锈钢晶粒长大过程进行模拟,模拟结果较准确地反映了晶粒正常长大规律。通过将模拟和试验的晶粒生长指数进行对比,表明在试验温度范围内,该模型可用于预测316LN不锈钢的晶粒尺寸。     

一种用于微观组织模拟的三维元胞自动机模型

元胞自动机是复杂体系的一种理想化模型,特别适合于处理那些难以用数学定量描述的复杂动态体系问题,如材料微观组织的演变模拟．它非常适合于计算机模拟实施．利用C 计算机语言,运用OpenGL网形函数库建立了一种三维元胞自动机模型．该模型具备了经典元胞自动机的基本特征,因此可以根据需要进行扩展．由于运用了0penGL的实时3D技术使得模拟结果更加逼真,并可以从多角度进行观察．文中运用该模型进行了简化的枝晶生长模拟,并与二维的模拟结果进行比较,验证了该模拟的正确性．     

Modeling solidification structure evolution and microsegregation under pressure condition

1. IntroductionPressure casting is widely used in many domains,such as nonferrous alloy casting and special shapecasting. In general, there are two kinds of pressurecasting, one is low-pressure casting, and the other ishigh-pressure casting. Solidificatio…     

纯铜在凝固中微观组织演化的模拟

利用连续准瞬时形核模型和CA模型，结合凝固过程中传热、枝晶尖端生长动力学等因素作用，建立了一个二维元胞自动机模型，并根据这个模型模拟了纯铜铸件在凝固过程中形核、生长的微观过程．将模拟结果与实际组织进行比较表明，该模型可以近似地描述纯铜的凝固组织。     

Modeling the dendritic evolution and micro-segregation of cast alloy with cellular automaton

In order to precisely describe the dendritic morphology and micro-segregation during solidification process, a novel continuous model concerning the different physical properties in the solid phase, liquid phase and interface is developed. Coupling the heat and solute diffusion with the transition rules, the dendrite evolution is simulated by cellular automaton method. Then, the solidification microstructure evolution of a small ingot is simulated by using this method. The simulated results indicate that this model can simulate the dendrite growth, show the second dendrite arm and tertiary dendrite arm, and reveal the micro-segregation in the inter-dendritic zones. Furthermore, the columnar-to-equiaxed transition (CET) is predicted.     

Review on modeling and simulation of microstructure evolution during dynamic recrystallization using cellular automaton method

The macro-mechanical properties of metal and alloy are largely depended on their chemical composition and microstructures resulting from the complicated processing and heat treatment history in industrial production. During these thermoplastic processes, dynamic recovery, dynamic recrystallization, static recovery and static recrystallization are the key microstructural evolution mechanisms. Accurate prediction and precise control of the microstructural evolution are of great importance for designers to achieve excellent mechanical properties for metals and alloys through hot working. Up to date, dynamic recrystallization has been recognized as a powerful mechanism for grain refinement. In-depth understanding of the microstructural evolution of dynamic recrystallization and furthermore to accurately predict and control the microstructure evolution during dynamic recrystallization process has become a research focus in the field of plastic processing. Cellular automaton(CA) method has been commonly employed to simulate the microstructure evolution of dynamic recrystallization due to its unique advantages,for example, it is easier to represent topological features and more realistically reflect the grain boundary migration process. In this paper, the basic ideas and characteristics of the CA method are briefly introduced. The physical mechanisms of dynamic recrystallization are summarized. Meanwhile, the state-of-the-art overview of the CA method of simulating the DRX process is introduced. Furthermore, this paper points out several problems that need to be solved urgently and prospects the development trend of the CA method for simulating the microstructure evolution in dynamic recrystallization.     

Simulation of dynamic recrystallization for aluminium alloy 7050 using cellular automaton

The prediction of microstructure evolution plays an important role in the design of forging process. In the present work, the cellular automaton (CA) program was developed to simulate the process of dynamic recrystallization (DRX) for aluminium alloy 7050. The material constants in CA models, including dislocation density, nucleation rate and grain growth, were determined by the isothermal compress tests on Gleeble 1500 machine. The model of dislocation density was obtained by linear regression method based on the experimental results. The influences of the deformation parameters on the percentage of DRX and the mean grain size for aluminium alloy 7050 were investigated in details by means of CA simulation. The simulation results show that, as temperature increases from 350 to 450 °C at a strain rate of 0.01 s⁻¹, the percentage of DRX also increases greatly and the mean grain size decreases from 50 to 39.3 μm. The mean size of the recrystallied grains (R-grains) mainly depends on the Zener-Hollomon parameter. To obtain fine grain, the desired deformation temperature is determined from 400 to 450 °C. Foundation item: Project(2005CB724105) supported by the Major State Basic Research Program of China; Project(IRT0549) supported by Program for Changjiang Scholars and Innovative Research Team in University     

材料组织结构演变的介观模拟

计算机模拟在材料上的应用主要是对宏观、介观和微观上材料行为的模拟,其有很大的优越性,材料介观的组织结构转变对宏观材料行为有很大的影响,介绍了材料设计中的计算机模拟及其步骤。主要介绍了蒙特卡罗和元胞自动机2种计算机模拟方法对材料介观转变行为模拟的应用,其中包括了元胞自动机的基本原理及特征。     

Simulation of annealing process effect on texture evolution of deep-drawing sheet St15

A two-dimensional cellular automaton method was used to simulate grain growth during the recrystallization annealing of deep-drawing sheet St 15, taking the simulated result of recrystallization and the experimental result of the annealing texture of deepdrawing sheet St15 as the initial condition and reference. By means of computer simulation, the microstructures and textures of different periods of grain growth were predicted. It is achieved that the grain size, shape and texture become stable after the grain growth at a constant temperature of 700℃ for 10 h, and the advantaged texture components { 111 } 〈 110 〉 and { 111 } 〈 112〉 are dominant.     

基于CAFE法的单晶铜杆热型连铸过程晶体生长模拟

基于元胞自动机(CA)和有限元(FE)耦合法对单晶铜杆热型连铸过程中晶粒生长及演化过程进行了模拟,获得了稳定状态下铸棒内温度分布及液固相界面的位置和形态,模拟了连铸初期沿热流方向细小等轴晶快速合并形成柱状晶的过程,采用截面形态和极图法分析了定向凝固条件下各个生长时刻的晶粒形貌和晶粒生长取向以及晶粒竞争生长过程中的快速淘汰和慢速淘汰阶段,为热型连铸工艺优化提供了依据。