Application of Box-Behnken Method Based ANN-GA to Prediction of wt.% of Doping Elements for Incoloy 800H Coated by Aluminizing-Chromizing

  • Abbas Khammas Hussein, Ass. Prof. Dr. Material Eng. Dept.-University of Technology
Keywords: Box-behnken design, GA, ANN, Hot Corrosion , Pack cementation .

Abstract

In this work , an effective procedure of Box-Behnken based-ANN (Artificial Neural Network) and GA (Genetic Algorithm) has been utilized for finding the optimum conditions of wt.% of doping elements (Ce,Y, and Ge) doped-aluminizing-chromizing of Incoloy 800H . ANN and Box-Behnken design method have been implanted for minimizing hot corrosion rate kp (10-12g2.cm-4.s-1) in Incoloy 800H at 900oC . ANN was used for estimating the predicted values of hot corrosion rate kp (10-12g2.cm-4.s-1) . The optimal wt.% of doping elements combination to obtain minimum hot corrosion rate was calculated using genetic algorithm approach . The predicted optimal values for minimizing  hot corrosion rate for  Incoloy 800H coated by (Ce-Y-Ge) doped-aluminizing-chromizing are (3wt.%Ce, 3wt.%Y, and  3wt.%Ge) ,  the hot corrosion rate kp (10-12g2.cm-4.s-1) value at these conditions was found to be 71.701 . The results have been verified by confirmation experiment , results obtained by GA method match closely with experimental values (R2=98.30) . EDS and XRD results show that the formation of protective layers Al2O3 and Cr2O3 during hot corrosion tests.

 

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Published
2015-09-01
How to Cite
Hussein, A. (2015) “Application of Box-Behnken Method Based ANN-GA to Prediction of wt.% of Doping Elements for Incoloy 800H Coated by Aluminizing-Chromizing”, Journal of Engineering, 21(9), pp. 135-149. Available at: http://joe.uobaghdad.edu.iq/index.php/main/article/view/355 (Accessed: 8December2019).