Computational simulation of corrosion on stainless steels in chemical plants

The main metals used in chemical plant industries are 316 stainless steel and mild steel. Critical information for their corrosion mechanism can be drawn from the potential free energy change evolved due to different elements interacting on the surface of the metal. In this project, computational ch...

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Main Author: Woo, Zhen Yang
Other Authors: Li Shuzhou
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/62320
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-623202023-03-04T15:34:11Z Computational simulation of corrosion on stainless steels in chemical plants Woo, Zhen Yang Li Shuzhou School of Materials Science and Engineering DRNTU::Engineering::Materials The main metals used in chemical plant industries are 316 stainless steel and mild steel. Critical information for their corrosion mechanism can be drawn from the potential free energy change evolved due to different elements interacting on the surface of the metal. In this project, computational chemistry is used to simulate atom interactions. The potential free energy surface changes are gathered and analyzed. The results show that oxygen provides large atom interaction for corrosion to react while elements like hydrogen and chlorine alone do not provide any obvious atom interaction. This is because oxygen gives rise to a negative potential free energy while hydrogen and chlorine both denote a positive potential free energy. Consequently when doubling the number of oxygen atoms, interaction energy increases by 3 folds. When hydrogen and chlorine are coupled up with oxygen respectively, atom interaction rises enough for potential free energy to be a negative value and corrosion takes place. Bachelor of Engineering (Materials Engineering) 2015-03-19T03:06:50Z 2015-03-19T03:06:50Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/62320 en Nanyang Technological University 39 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Materials
spellingShingle DRNTU::Engineering::Materials
Woo, Zhen Yang
Computational simulation of corrosion on stainless steels in chemical plants
description The main metals used in chemical plant industries are 316 stainless steel and mild steel. Critical information for their corrosion mechanism can be drawn from the potential free energy change evolved due to different elements interacting on the surface of the metal. In this project, computational chemistry is used to simulate atom interactions. The potential free energy surface changes are gathered and analyzed. The results show that oxygen provides large atom interaction for corrosion to react while elements like hydrogen and chlorine alone do not provide any obvious atom interaction. This is because oxygen gives rise to a negative potential free energy while hydrogen and chlorine both denote a positive potential free energy. Consequently when doubling the number of oxygen atoms, interaction energy increases by 3 folds. When hydrogen and chlorine are coupled up with oxygen respectively, atom interaction rises enough for potential free energy to be a negative value and corrosion takes place.
author2 Li Shuzhou
author_facet Li Shuzhou
Woo, Zhen Yang
format Final Year Project
author Woo, Zhen Yang
author_sort Woo, Zhen Yang
title Computational simulation of corrosion on stainless steels in chemical plants
title_short Computational simulation of corrosion on stainless steels in chemical plants
title_full Computational simulation of corrosion on stainless steels in chemical plants
title_fullStr Computational simulation of corrosion on stainless steels in chemical plants
title_full_unstemmed Computational simulation of corrosion on stainless steels in chemical plants
title_sort computational simulation of corrosion on stainless steels in chemical plants
publishDate 2015
url http://hdl.handle.net/10356/62320
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