Global sensitivity analysis of influence parameters in pitting corrosion behavior of 304 stainless steel using adaptive neuro‐fuzzy inference systems. Issue 5 (23rd November 2020)
- Record Type:
- Journal Article
- Title:
- Global sensitivity analysis of influence parameters in pitting corrosion behavior of 304 stainless steel using adaptive neuro‐fuzzy inference systems. Issue 5 (23rd November 2020)
- Main Title:
- Global sensitivity analysis of influence parameters in pitting corrosion behavior of 304 stainless steel using adaptive neuro‐fuzzy inference systems
- Authors:
- Xu, Kaixin
Sun, Wen
Wang, Lida
Yang, Zhengqing
Wang, Jing
Wang, Suilin
Liu, Guichang - Abstract:
- Abstract: Pitting corrosion is simultaneously influenced by many parameters. However, conventional experimental methods do not offer information on the relative importance of each parameter to pitting corrosion. Herein, pitting corrosion of 304SS under multiple parameter influences was investigated by the global sensitivity analysis (GSA) based on adaptive neuro‐fuzzy inference system (ANFIS). It was applied for the first time in quantitatively analyzing the relative importance of each parameter to pitting corrosion. It was developed in two different systems, based on the experimental data and the published data, respectively. Both results show that ANFIS exhibits a highly accurate prediction result. The GSA based on ANFIS quantitatively analyzes the relative importance of the initiation of pitting corrosion of 304SS for each parameter, and based on the results of GSA, it can also be determined whether the parameter inhibits or promotes pitting corrosion. We believe this method could provide guidance for corrosion research. Abstract : Pitting corrosion of 304SS under multiple parameter influences was investigated by the global sensitivity analysis (GSA) based on adaptive neuro‐fuzzy inference system (ANFIS) for the first time. It quantitatively analyzes the relative importance of the initiation of pitting corrosion of 304SS for each parameter, and based on the results of GSA, it can be determined whether the parameter inhibits or promotes pitting corrosion.
- Is Part Of:
- Materials and corrosion. Volume 72:Issue 5(2021)
- Journal:
- Materials and corrosion
- Issue:
- Volume 72:Issue 5(2021)
- Issue Display:
- Volume 72, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 72
- Issue:
- 5
- Issue Sort Value:
- 2021-0072-0005-0000
- Page Start:
- 805
- Page End:
- 815
- Publication Date:
- 2020-11-23
- Subjects:
- adaptive neuro‐fuzzy inference system -- global sensitivity analysis -- pitting corrosion -- stainless steels
Materials -- Periodicals
Metals -- Periodicals
Corrosion and anti-corrosives -- Periodicals
620.1122305 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1521-4176 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/maco.202012120 ↗
- Languages:
- English
- ISSNs:
- 0947-5117
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9298.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16751.xml