4.7 Article

Dual-stage nested homogenization for rate-dependent anisotropic elasto-plasticity model of dendritic cast aluminum alloys

期刊

INTERNATIONAL JOURNAL OF PLASTICITY
卷 27, 期 10, 页码 1677-1701

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijplas.2011.02.002

关键词

Anisotropic continuum plasticity model; Rate-dependent material; LE-VCFEM; Asymptotic expansion homogenization; Self-consistent homogenization

资金

  1. National Science Foundation NSF Div Civil and Mechanical Systems Division through the GOALI [CMS-0308666]
  2. Department of Energy [A5997]
  3. Army Research Office [DAAD19-02-1-0428]
  4. Ohio Supercomputer Center [PAS813-2]

向作者/读者索取更多资源

This paper proposes a nested dual-stage homogenization method for developing microstructure based continuum elasto-viscoplastic models for large secondary dendrite arm spacing or SDAS cast aluminum alloys. Microstructures of these alloys are characterized by extremely inhomogeneous distribution of inclusions along the dendrite cell boundaries. Traditional single-step homogenization methods are not suitable for this type of microstructure due to the size of the representative volume element (RVE) and the associated computations required for micromechanical analyses. To circumvent this limitation, two distinct RVE's or statistically equivalent RVE's are identified, corresponding to the inherent scales of inhomogeneity in the microstructure. The homogenization is performed in multiple stages for each of the RVE's identified. The macroscopic behavior is described by a rate-dependent, anisotropic homogenization based continuum plasticity (HCP) model. Anisotropy and viscoplastic parameters in the HCP model are calibrated from homogenization of micro-variables for the different RVE's. These parameters are dependent on microstructural features such as morphology and distribution of different phases. The uniqueness of the nested two-stage homogenization is that it enables evaluation of the overall homogenized model parameters of the cast alloy from limited experimental data, but also material parameters of constituents like inter-dendritic phase and pure aluminum matrix. The capabilities of the HCP model are demonstrated for a cast aluminum alloy AS7GU having a SDAS of 30 mu m. (C) 2011 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据