Neural network modeling of oxidation kinetics in air of Steel- T21 alloy coated by simultaneous Germanium : doped aluminizing-Siliconzing process

الملخص EN

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.