Abstract
Isothermal compression of the Ti600 alloy at the hydrogen contents of 0.16 wt%, 0.31 wt%, 0.45 wt%, 0.65 wt% and natural hydrogen was conducted at the deformation temperatures ranging from 720 °C to 1000 °C with an interval of 40 °C, the strain rates of 0.001 s-1, 0.01 s-1, 0.1 s-1, 1.0 s-1 and 10.0 s-1 and a height reduction of 50% on a Gleeble-1500D thermo-mechanical simulator. The effect of hydrogen content on the flow stress of Ti600 alloy was analyzed. A fuzzy neural network (FNN) was applied to acquire the correlation model between the hydrogen content, deformation temperature, strain rate, strain and the flow stress in the isothermal compression of Ti600 alloy. The present model could be used to predict the flow stress of Ti600 alloy at different hydrogen contents. The average difference of the predicted using the FNN model from the experimental flow stress in the isothermal compression of Ti600 alloy is 8.2%.
| Original language | English |
|---|---|
| Pages (from-to) | 1006-1013 |
| Number of pages | 8 |
| Journal | International Journal of Hydrogen Energy |
| Volume | 36 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2011 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Flow stress
- Fuzzy neural network
- Hydrogen
- Ti600 alloy
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