4.7 Article

Experimental and numerical analysis of cyclic deformation and fatigue behavior of a Mg-RE alloy

期刊

INTERNATIONAL JOURNAL OF PLASTICITY
卷 139, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijplas.2020.102885

关键词

Magnesium; Rare earth; Fatigue; Crystal plasticity; Fatigue indicator parameter; Slip; Twin; Back stress

资金

  1. European Union Horizon 2020 research and innovation programme (Marie Sklodowska-Curie Individual Fellowships) [795658]
  2. Comunidad de Madrid TalentoMod1 programme [PR00096]
  3. European Research Council under the European Union's Horizon 2020 research and innovation programme (Advanced Grant VIRMETAL) [669141]
  4. HexaGB project of the Spanish Ministry of Science [RTI2018-098245]
  5. Marie Curie Actions (MSCA) [795658] Funding Source: Marie Curie Actions (MSCA)

向作者/读者索取更多资源

Strain-controlled fatigue behavior of Mg?1Mn-0.5Nd alloy was studied, showing a correlation between the microstructure and twinning. Computational homogenization was used to simulate the mechanical response of the alloy, revealing the dominant deformation mechanisms.
Strain-controlled fatigue of Mg?1Mn-0.5Nd (wt.%) alloy were studied by experiment and simulation. The microstructure was made up of a dispersion of strongly texture grains (13%) embedded in a matrix of grains with a random texture. The cyclic stress-strain curves showed limited tension-compression anisotropy because of the limited texture. Cyclic hardening under compression and cyclic softening under tension occurred due to the presence of twinning. Moreover, the twin volume fraction of the broken samples depended on whether the sample was broken in tension or compression, indicating that twining-detwinning occurs during the whole fatigue life. The mechanical response of the polycrystalline alloy was simulated by means of computational homogenization. The behavior of the Mg grains was modeled using a phenomenological crystal plasticity model that accounted for basal, prismatic and pyramidal slip (including isotropic and kinematic hardening) as well as twining and detwinning. The model parameters were calibrated from the cyclic stress-strain curves at different cyclic strain amplitudes. Numerical simulations were used to understand the dominant deformation mechanisms and to predict the fatigue life by means of a fatigue indicator parameter based on the accumulated plastic shear strain in each fatigue cycle.

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