Hua Ding

TL;DR: In this article, an artificial neural network (ANN) model was developed to predict the flow stress of a Ti600 titanium alloy by a Gleeble 1500D thermo-mechanical test simulator over the temperature range from 760 to 920 °C and strain rate range from 0.01 to 10 ǫ s −1.

TL;DR: In this article, a TRIP/TWIP steel with 18.8% manganese was used for tensile testing and the results indicated that the true stress-strain curve can be divided into 4 stages in tension testing.

TL;DR: In this paper, the authors investigated the effects of grain size on hydrogen embrittlement of a hot rolled Fe-22Mn-0.6C TWIP steel and found that the materials obtained higher susceptibility to hydrogen brittlement as the grain size increased.

TL;DR: In this article, backscattered diffraction reveals the dependence of deformation twinning on grain orientation and distinct grain rotations during compression of high manganese steels, which leads to the evolution of a special microstructure and restricts the kinetics of twinning in comparison with tension deformation.

TL;DR: In this paper, the compressive deformation behavior at room temperature depended on grain size, with deformation twinning and associated work hardening observed in coarse-grained Mg, but absent in the ultrafine grained material as decreasing grain size raised the stress for twinning above that for dislocation slip.