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 st...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.展开更多
基金the Shanghai UniversityUniversity of West Florida+5 种基金City University of Hong KongShanghai Institute of Applied Physicsthe Research Center of AREVA NPGE Research for the financial supportShenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Shenzhen Park Project:HZQB-KCZYB-2020030RGC&GRF:Hong Kong General Research Fund(GRF)Scheme(CityU 11247516)。
文摘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.
