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Tuned critical avalanche scaling in bulk metallic glasses.
Antonaglia, James; Xie, Xie; Schwarz, Gregory; Wraith, Matthew; Qiao, Junwei; Zhang, Yong; Liaw, Peter K; Uhl, Jonathan T; Dahmen, Karin A.
Affiliation
  • Antonaglia J; University of Illinois at Urbana-Champaign.
  • Xie X; The University of Tennessee, Knoxville.
  • Schwarz G; University of Illinois at Urbana-Champaign.
  • Wraith M; University of Illinois at Urbana-Champaign.
  • Qiao J; Taiyuan University of Technology, Taiyuan, 030024, China.
  • Zhang Y; University of Science and Technology, Beijing, China.
  • Liaw PK; The University of Tennessee, Knoxville.
  • Uhl JT; Retired.
  • Dahmen KA; University of Illinois at Urbana-Champaign.
Sci Rep ; 4: 4382, 2014 Mar 17.
Article in En | MEDLINE | ID: mdl-24632786
Ingots of the bulk metallic glass (BMG), Zr64.13Cu15.75Ni10.12Al10 in atomic percent (at. %), are compressed at slow strain rates. The deformation behavior is characterized by discrete, jerky stress-drop bursts (serrations). Here we present a quantitative theory for the serration behavior of BMGs, which is a critical issue for the understanding of the deformation characteristics of BMGs. The mean-field interaction model predicts the scaling behavior of the distribution, D(S), of avalanche sizes, S, in the experiments. D(S) follows a power law multiplied by an exponentially-decaying scaling function. The size of the largest observed avalanche depends on experimental tuning-parameters, such as either imposed strain rate or stress. Similar to crystalline materials, the plasticity of BMGs reflects tuned criticality showing remarkable quantitative agreement with the slip statistics of slowly-compressed nanocrystals. The results imply that material-evaluation methods based on slip statistics apply to both crystalline and BMG materials.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2014 Document type: Article Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2014 Document type: Article Country of publication: United kingdom