首页> 外文学位 >Algorithms for Multiphase Motion with Applications to Materials Science.
【24h】

Algorithms for Multiphase Motion with Applications to Materials Science.

机译:多相运动算法及其在材料科学中的应用。

获取原文
获取原文并翻译 | 示例

摘要

The evolution of a collection of phases under multiphase motion by mean curvature has important applications, particularly in the modeling of microstructural development in polycrystalline materials. Models for the phenomena of grain growth and recrystallization require that the interface separating two phases moves with a normal velocity given by an affine function of the mean curvature of the interface.;This work describes a class of algorithms for simulating motions of this type. These algorithms are called "distance function-based diffusion-generated motion" (DFDGM) algorithms. They are related to the threshold dynamics algorithm of Merriman, Bence, and Osher [59, 60] and also share similarities with the level sets method of Zhao et al. [96]. An idea of Almgren, Taylor, and Wang [3] is applied to allow the DFDGM algorithms to be extended to motion by weighted mean curvature, the first distance function-based diffusion-generated motion-type algorithm to simulate this motion while correctly enforcing the natural boundary conditions at triple junctions.;The DFDGM algorithms are demonstrated to be very accurate and very efficient in numerical tests. The efficiency of the algorithms allows for very large, well-resolved simulations to be performed. Large-scale simulations of isotropic grain growth and recrystallization in both two and three dimensions are presented and analyzed.;The well-resolved simulations of isotropic grain growth are the largest simulations performed to date, containing over 130,000 grains initially in three dimensions. They are shown to agree well with theoretical predictions, experimental results, and prior simulations.;The model of Srolovitz, et al. [79, 80] is used for the simulations of recrystallization. New analysis elucidating important model properties and making predictions for the type of microstructure resulting from parameter choices in the nucleation model is presented. It is shown that the DFDGM algorithm agrees with the analysis where other simulations have failed. This new analysis is also used to determine parameter choices winch result in a final microstructure consisting of many very elongated grains, unlike any simulation results previously seen.
机译:在多相运动下平均曲率下的相集合的演化具有重要的应用,特别是在多晶材料的微结构发展建模中。晶粒长大和再结晶现象的模型要求,将两相分开的界面以正常速度移动,该速度由界面平均曲率的仿射函数给出。这项工作描述了一类模拟这种运动的算法。这些算法称为“基于距离函数的扩散生成运动”(DFDGM)算法。它们与Merriman,Bence和Osher的阈值动力学算法[59,60]有关,并且与Zhao等人的水平集方法具有相似之处。 [96]。运用Almgren,Taylor和Wang [3]的思想,允许DFDGM算法通过加权平均曲率扩展到运动,这是第一种基于距离函数的扩散生成的运动类型算法,可以在正确执行该运动的同时模拟该运动。在三重交界处的自然边界条件。DFDGM算法在数值测试中被证明是非常准确和高效的。算法的效率允许执行非常大且解析度很高的仿真。提出并分析了二维和三维的各向同性晶粒长大和再结晶的大规模模拟。分辨率良好的各向同性晶粒长大的模拟是迄今为止进行的最大的模拟,最初包含三个维度中的130,000多个晶粒。它们显示出与理论预测,实验结果和先前的模拟非常吻合。; Srolovitz等人的模型。 [79,80]用于重结晶的模拟。提出了新的分析方法,阐明了重要的模型特性并预测了成核模型中参数选择所导致的微观结构类型。结果表明,DFDGM算法与其他模拟失败的分析相符。与以前看到的任何模拟结果不同,该新分析还用于确定参数选择,以绞盘形成由许多非常细长的晶粒组成的最终微结构。

著录项

  • 作者

    Elsey, Matther R.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Applied Mathematics.;Engineering Materials Science.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 135 p.
  • 总页数 135
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号