Application of Response Surface Methodology for Modelling and Optimization of Hot Corrosion Rate of Nimonic 75 Coated by Ce-doped Aluminizing-Titanizing

Response surface methodology (RSM) was used to determine the optimum conditions (wt.% of Na2SO4, %wt. of V2O5, and Temperature ) that give the minimum hot corrosion rate (Kp) (g2 cm-4 s-1) for Nimonic75 coated by Ce-doped Aluminizing- titanizing . Experiments were designed according to central comp...

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Main Author: Abbas Khammas Hussein
Format: Article
Language:English
Published: Al-Nahrain Journal for Engineering Sciences 2017-05-01
Series:مجلة النهرين للعلوم الهندسية
Subjects:
Online Access:https://nahje.com/index.php/main/article/view/182
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spelling doaj-46d4f5a5f363401dafa2c6bfa526b07c2021-02-02T17:59:15ZengAl-Nahrain Journal for Engineering Sciencesمجلة النهرين للعلوم الهندسية2521-91542521-91622017-05-01182182Application of Response Surface Methodology for Modelling and Optimization of Hot Corrosion Rate of Nimonic 75 Coated by Ce-doped Aluminizing-TitanizingAbbas Khammas Hussein0University of Technology Response surface methodology (RSM) was used to determine the optimum conditions (wt.% of Na2SO4, %wt. of V2O5, and Temperature ) that give the minimum hot corrosion rate (Kp) (g2 cm-4 s-1) for Nimonic75 coated by Ce-doped Aluminizing- titanizing . Experiments were designed according to central composite design in response surface methodology with these three factors using MINITAB 16 and MATLAB 2014a Software. The variation of hot corrosion rate (Kp) with hot corrosion parameters was mathematically modeled using response surface methodology. The optimum conditions obtained were 40 wt.% of Na2SO4, 40 %wt. of V2O5, and 900oC . This resulted in ( Kp=1.430987×10-10 g2 cm-4 s-1 ) as obtained from the predicted model , which fitted well with the laboratory verification result ( Kp=1.4311×10-10 g2 cm-4 s-1 ) . This was supported by the high value of coefficient of determination (R2=99.81%) of the Predicted model . The high correlation coefficient (R2= 98.991%) between the model and the experimental data show that the model was able to predict the hot corrosion rate from hot corrosion conditions. https://nahje.com/index.php/main/article/view/182Response surface methodology (RSM)Hot corrosionDiffusion coatingaluminizing, titanizing
collection DOAJ
language English
format Article
sources DOAJ
author Abbas Khammas Hussein
spellingShingle Abbas Khammas Hussein
Application of Response Surface Methodology for Modelling and Optimization of Hot Corrosion Rate of Nimonic 75 Coated by Ce-doped Aluminizing-Titanizing
مجلة النهرين للعلوم الهندسية
Response surface methodology (RSM)
Hot corrosion
Diffusion coating
aluminizing, titanizing
author_facet Abbas Khammas Hussein
author_sort Abbas Khammas Hussein
title Application of Response Surface Methodology for Modelling and Optimization of Hot Corrosion Rate of Nimonic 75 Coated by Ce-doped Aluminizing-Titanizing
title_short Application of Response Surface Methodology for Modelling and Optimization of Hot Corrosion Rate of Nimonic 75 Coated by Ce-doped Aluminizing-Titanizing
title_full Application of Response Surface Methodology for Modelling and Optimization of Hot Corrosion Rate of Nimonic 75 Coated by Ce-doped Aluminizing-Titanizing
title_fullStr Application of Response Surface Methodology for Modelling and Optimization of Hot Corrosion Rate of Nimonic 75 Coated by Ce-doped Aluminizing-Titanizing
title_full_unstemmed Application of Response Surface Methodology for Modelling and Optimization of Hot Corrosion Rate of Nimonic 75 Coated by Ce-doped Aluminizing-Titanizing
title_sort application of response surface methodology for modelling and optimization of hot corrosion rate of nimonic 75 coated by ce-doped aluminizing-titanizing
publisher Al-Nahrain Journal for Engineering Sciences
series مجلة النهرين للعلوم الهندسية
issn 2521-9154
2521-9162
publishDate 2017-05-01
description Response surface methodology (RSM) was used to determine the optimum conditions (wt.% of Na2SO4, %wt. of V2O5, and Temperature ) that give the minimum hot corrosion rate (Kp) (g2 cm-4 s-1) for Nimonic75 coated by Ce-doped Aluminizing- titanizing . Experiments were designed according to central composite design in response surface methodology with these three factors using MINITAB 16 and MATLAB 2014a Software. The variation of hot corrosion rate (Kp) with hot corrosion parameters was mathematically modeled using response surface methodology. The optimum conditions obtained were 40 wt.% of Na2SO4, 40 %wt. of V2O5, and 900oC . This resulted in ( Kp=1.430987×10-10 g2 cm-4 s-1 ) as obtained from the predicted model , which fitted well with the laboratory verification result ( Kp=1.4311×10-10 g2 cm-4 s-1 ) . This was supported by the high value of coefficient of determination (R2=99.81%) of the Predicted model . The high correlation coefficient (R2= 98.991%) between the model and the experimental data show that the model was able to predict the hot corrosion rate from hot corrosion conditions.
topic Response surface methodology (RSM)
Hot corrosion
Diffusion coating
aluminizing, titanizing
url https://nahje.com/index.php/main/article/view/182
work_keys_str_mv AT abbaskhammashussein applicationofresponsesurfacemethodologyformodellingandoptimizationofhotcorrosionrateofnimonic75coatedbycedopedaluminizingtitanizing
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