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Neural NetworkModeling of Oxidation Kinetics in Air of Steel-T21 Alloy Coated by Simultaneous Germanium-Doped Aluminizing-Silicon zing Process | ||
| Engineering and Technology Journal | ||
| Article 3, Volume 31, 4A, 2013, Pages 632-645 PDF (848.44 K) | ||
| DOI: 10.30684/etj.31.4A.3 | ||
| Authors | ||
| Abbas Khammas; Mohanned M. H.AL-Khafaji | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Steel; oxidation; aluminizing; Siliconizing; Pack Cementation; neural network | ||
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