期刊
ADVANCED ENGINEERING MATERIALS
卷 23, 期 4, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adem.202001307
关键词
dislocation density models; flow behaviors; stacked auto-encoder models; titanium alloys
资金
- National Natural Science Foundation of China [51775564]
- Science and Technology Talent Promotion Project of Hunan Province [2020TJ-Q05]
The flow behaviors of Ti-55511 alloy with basket-weave microstructures in the alpha + beta region are influenced by deformation temperature and strain rates. The primary softening mechanisms are the dynamic recovery of beta grains and the spheroidization of lamellar alpha phases. Models based on dislocation density and stacked auto-encoder (SAE) are used to analyze the flow behaviors, showing high prediction accuracy and demonstrating the nonlinear relationship between flow stress and deformation parameters.
The flow behaviors of Ti-55511 alloy with basket-weave microstructures are investigated during the hot compression in alpha + beta region. It is observed that the flow behaviors are visibly influenced by the deformation temperature and strain rates. The primary softening mechanisms are the dynamic recovery of beta grains and the spheroidization of lamellar alpha phases. Meanwhile, a dislocation density-based model and a stacked auto-encoder (SAE) model are built to reveal the flow behaviors of the studied alloy. The relationship between the evolution of dislocation density and the hardening/softening mechanisms are considered in the dislocation density-based model, with the correlation coefficient being 0.9957. The structures of the established SAE model based on the intelligence algorithm are confirmed layer by layer. The SAE model has a high prediction accuracy when the number of hidden layers is 3, and the nodes of three hidden layers are 15, 40, and 35, respectively. It can demonstrate the nonlinear relationship between the flow stress and deformation parameters.
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