Abstract
Variant selection under specific applied stresses during precipitation of α plates from prior-β matrix in Ti-6Al-4 V was investigated by 3D phase field simulations.The model incorporates the Burgers transfor-mation path from β to α phase,with consideration of interfacial energy anisotropy,externally applied stresses and elastic interactions among α variants and β matrix.The Gibbs free energy and atomic mo-bility data are taken from available thermodynamic and kinetic databases.It was found that external stresses have a profound influence on variant selection,and the selection has a sensitive dependence,as evidenced by both interaction energy calculations and phase field simulations.Compared with normal stresses,shear stresses applied in certain directions were found more effective in accelerating the trans-formation,with a stronger preference to fewer variants.The volume fractions of various α variants and the final microstructure were determined by both the external stress and the elastic interaction among different variants.The α clusters formed by variants with Type2 misorientation ([11-20]/60°) relation were found more favored than those with Type4 ([1055-3]/63.26°) under certain applied tensile stress such as along < 111 >β.The mechanical properties of different microstructures from our phase field simu-lation under different conditions were calculated for different loading conditions,utilizing crystal plastic finite element simulation.The mechanical behavior of the various microstructures from phase field sim-ulation can be evaluated well before the alloys are fabricated,and therefore it is possible to select mi-crostructure for optimizing the mechanical properties of the alloy through thermomechanical processing based on the two types of simulations.
基金项目
National Key Research and Development Program of China(2016YFB0701304)
National Key Research and Development Program of China(2016YFC0304200)
Strategic Priority Research Program of Chinese Academy of Sciences(XDC01040100)
Special Project on Information Technology of the Chinese Academy of Sciences(XXH13506-304)
CAS-Shenyang Supercomputing Center and the Doctoral Scientific Research Foundation of Liaoning Province(20180540133)