Neural Network Modeling of Oxidation
Kinetics in Air of Steel -T21 Alloy coated by Simultaneous
Germanium-Doped Aluminizing-Siliconzing process |
In this work a pack
cementation of germanium-doped aluminum and silicon coatings on
low alloy steel type-T21 has been applied. This gives
significant improvement in the oxidation. Steel-T21 was coated
with germanium-doped aluminizing-siliconizing. Diffusion coating
was carried out at 1050oC for 6 h under an Ar atmosphere by
simultaneous germanium-doped aluminizing-siliconzing process.
Cyclic oxidation tests were conducted on the coated steel-T21
alloy in the temperature range oxide 300-900oC in air for 102 h
at 3 h cycle. The results showed that the oxidation kinetics for
coated system in air can be represented by parabolic curve
.Oxide phases that formed on coated system are SiO2 and Cr2O3. A
neural network model of oxidation kinetics has been proposed to
model the oxidation kinetic. The neural model shows good
agreement with the experimental data. |
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