4.7 Article

Fatigue behavior of a wrought Al0.5CoCrCuFeNi two-phase high-entropy alloy

期刊

ACTA MATERIALIA
卷 99, 期 -, 页码 247-258

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.actamat.2015.07.004

关键词

High-entropy alloys; Fatigue behavior; Deformation nanotwins; Statistical models

资金

  1. Department of Energy (DOE) Office of Nuclear Energy's Nuclear Energy University Program (NEUP) [00119262]
  2. DOE, Office of Fossil Energy, National Energy Technology Laboratory [DE-FE-0008855, DE-FE-0024054]
  3. National Science Foundation [CMMI-1100080]
  4. DOE [DE-FE-0011194307]
  5. U.S. Army Research Office project [W911NF-13-1-0438]
  6. Directorate For Engineering
  7. Div Of Civil, Mechanical, & Manufact Inn [1100080] Funding Source: National Science Foundation

向作者/读者索取更多资源

Fatigue behavior of a cold-rolled two-phase Al0.5CoCrCuFeNi high-entropy alloy (HEA) was studied. Some specimens were fabricated, using commercial-purity raw materials, while others were manufactured with high-purity components. Scatter in the fatigue life of the commercial-purity samples was found in the stress vs. lifetime plot (S-N curve). However, the high-purity samples showed less scatter, and fatigue life is predictable using fatigue statistics. The fatigue property of the alloy is comparable with and may even outperform many commercial alloys. Fatigue cracking is promoted by shrinkage pores with a size of similar to 5 mu m, while mechanical nanotwinning was found to be the main deformation mechanism before crack-initiation and during crack propagation by transmission electron microscopy (TEM). Two orientations of dense nanotwins were found at the crack-initiation site, while less-dense nanotwins were found away from the crack initiation site. The nanotwinning behavior resulted in strengthening of the alloy and, consequently, high fatigue strength (383 +/- 71 MPa). Moreover, statistical models were applied to predict fatigue life, suggesting that using improved fabrication processes and/or high-purity raw materials may enhance the fatigue behavior and scatter by reducing the number of fabrication microcracks and pores in the test samples. Published by Elsevier Ltd. on behalf of Acta Materialia Inc.

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