A constitutive model incorporating grain refinement strengthening on metallic alloys

Shan Cecilia Cao*, Xiaochun Zhang*, Yuan Yuan, Pengyau Wang, Lei Zhang, Na Liu, Yi Liu*, Jian Lu*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Surface nano-crystallization techniques have been recently developed as one of the most effient ways to optimize materials’ structure, and therefore develop the local and global mechanical behavior as to increase strength without compromising ductility. In this work, we present a constitutive model incorporating grain refinement hardening to simulate the nano-crystallization technique, specifically, surface mechanical attrition treatment. The computation is implemented using user-defined VUMAT subroutines. As an example of its application, a geometry model with full coverage of random impacts are employed. The results show that the model has rather precise predictability of grain size evolution during plastic deformation. The readily embedded with a computational code of material dynamics enables this novel model to be a promising tool to study the dynamic evolution of microstructures under plastic deformation.
Original languageEnglish
Pages (from-to)233-239
JournalJournal of Materials Science and Technology
Volume88
Online published10 Feb 2021
DOIs
Publication statusPublished - 20 Oct 2021

Research Keywords

  • Constitutive model
  • Full coverage random impact
  • Surface grain refinement
  • Surface mechanical attrition treatment (SMAT)

RGC Funding Information

  • RGC-funded

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