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Metals
Special Issues
Corrosion Prediction in Different Environment
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Corrosion Prediction in Different Environment

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Corrosion and Protection".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 7744

Special Issue Editors

Prof. Dr. Xiaobing Ma

E-Mail Website
Guest Editor
The Key Laboratory on Reliability and Environmental Engineering Technology, Beihang University, Beijing 100191, China
Interests: corrosion prediction; corrosion fatigue; corrosion monitoring; corrosion test; corrosion modelling; durability evaluation
Dr. Yikun Cai

E-Mail Website
Assistant Guest Editor
School of Aeronautics and Astronautics, Sichuan University, Chengdu 610017, China
Interests: atmospheric corrosion; corrosion monitoring; statistical modelling; corrosion simulation; structure safety; anti-corrosion coating

Special Issue Information

Dear Colleagues,

Corrosion prediction can provide valuable information for environment corrosivity classification and corrosion resistance evaluation of materials. Significant advances in this field have been achieved. However, the prediction accuracy is still not high due to the scatter of the data and the simplification of the model.

This Special Issue on “Corrosion Prediction in Different Environment” aims to collect the latest developments in the field, which can contribute to quantitative corrosion experiments, enrich environment and corrosion data, improve corrosion prediction accuracy, and enhance the understanding of the corrosion process.

In this Special Issue, original research articles and reviews are welcome. We look forward to receiving your contributions. Topics addressed in this Special Issue may include, but are not limited to:

  • Corrosion prediction in different environments;
  • Corrosion test in atmospheric or marine field environments (especially long-term test or in extreme environments);
  • Corrosion test in laboratory simulated or accelerated environment;
  • Mechanism consistency and acceleration rate between laboratory and field environment;
  • Corrosion monitoring or simulation;
  • Degradation of anti-corrosion coatings;
  • New equipment, sensors, methodology, tools, and models in corrosion;
  • Metallic.

Prof. Dr. Xiaobing Ma
Guest Editor

Dr. Yikun Cai
Assistant Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • corrosion prediction and life estimation
  • corrosion test methods
  • environment effect
  • corrosion mechanism
  • corrosion monitoring
  • corrosion simulation
  • anti-corrosion coatings
  • metallic

Published Papers (4 papers)

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Research

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14 pages, 3272 KiB  
Article
On the Use of Machine Learning Algorithms to Predict the Corrosion Behavior of Stainless Steels in Lactic Acid
by Shamim Pourrahimi, Soroosh Hakimian, Abdel-Hakim Bouzid and Lucas A. Hof
Metals 2023, 13(8), 1459; https://doi.org/10.3390/met13081459 - 13 Aug 2023
Cited by 4 | Viewed by 1956
Abstract
Predicting the corrosion behavior of materials in specific environmental conditions is important for establishing a sustainable manufacturing system while reducing the need for time-consuming experimental investigations. Recent studies started to explore the application of supervised Machine Learning (ML) techniques to forecast corrosion behavior [...] Read more.
Predicting the corrosion behavior of materials in specific environmental conditions is important for establishing a sustainable manufacturing system while reducing the need for time-consuming experimental investigations. Recent studies started to explore the application of supervised Machine Learning (ML) techniques to forecast corrosion behavior in various conditions. However, there is currently a research gap in utilizing classification ML techniques specifically for predicting the corrosion behavior of stainless steel (SS) material in lactic acid-based environments, which are extensively used in the pharmaceutical and food industry. This study presents a ML-based prediction model for corrosion behavior of SSs in different lactic acid environmental conditions, using a database that described the corrosion behavior by qualitative labels. Decision tree (DT), random forest (RF) and support vector machine (SVM) algorithms were applied for classification. Training and testing accuracies of, respectively 97.5% and 92.5% were achieved using the DT classifier. Four SS alloy composition elements (C, Cr, Ni, Mo), acid concentration, and temperature were found sufficient to consider as input data for corrosion prediction. The developed models are reliable for predicting corrosion degradation and, as such, contribute to avoiding failures and catastrophes in industry. Full article
(This article belongs to the Special Issue Corrosion Prediction in Different Environment)
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13 pages, 9623 KiB  
Article
Effect of Tropical Marine Atmospheric Environment on Corrosion Behaviour of the 7B04-T74 Aluminium Alloy
by Ning Li, Weifang Zhang, Xiaojun Yan, Meng Zhang, Lu Han and Yikun Cai
Metals 2023, 13(5), 995; https://doi.org/10.3390/met13050995 - 21 May 2023
Cited by 2 | Viewed by 1787
Abstract
In this work, the effects of the tropical marine atmospheric environment on the corrosion behaviour of the 7B04-T74 aluminium alloy were systematically investigated by using accelerated testing, together with corrosion kinetic analysis, microstructure observation, product composition analysis, and potentiodynamic polarization curve tests. The [...] Read more.
In this work, the effects of the tropical marine atmospheric environment on the corrosion behaviour of the 7B04-T74 aluminium alloy were systematically investigated by using accelerated testing, together with corrosion kinetic analysis, microstructure observation, product composition analysis, and potentiodynamic polarization curve tests. The weight loss method was used for the corrosion kinetics analysis. The surface morphology and corrosion products transformation law were investigated by OM, SEM, EDS, and XPS. The electrochemical characteristics were studied using potentiodynamic polarization curves. The research indicated that the 7B04-T74 aluminium alloy has eminent corrosion resistance in the tropical marine atmospheric environment. Localized pitting corrosion occurred rapidly in the tropical marine atmosphere. In the later stage of corrosion, the corrosion of aluminium alloy did not become serious. Specifically, no obvious intergranular corrosion was found, which is related to the thermal treatment method. Corrosion products included Al(OH)3, Al2O3, and AlCl3, of which Al(OH)3 is the most notable. Full article
(This article belongs to the Special Issue Corrosion Prediction in Different Environment)
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12 pages, 6619 KiB  
Article
Mechanical Properties Evolution of the 7B04-T74 Aluminum Alloy in the Marine Atmosphere
by Ning Li, Xiaojun Yan, Xuerong Liu, Lu Han and Weifang Zhang
Metals 2022, 12(12), 2173; https://doi.org/10.3390/met12122173 - 16 Dec 2022
Cited by 1 | Viewed by 1810
Abstract
The 7xxx-series aluminum alloys are widely used in aircrafts due to their superior performance. The evolution of the mechanical properties of the aluminum alloys caused by marine atmospheric corrosion has become a research hotspot due to the increase in aircraft service time in [...] Read more.
The 7xxx-series aluminum alloys are widely used in aircrafts due to their superior performance. The evolution of the mechanical properties of the aluminum alloys caused by marine atmospheric corrosion has become a research hotspot due to the increase in aircraft service time in the marine atmospheric environment. In this work, the evolution of the mechanical properties of the 7B04-T74 aluminum alloy was studied by an alternate immersion test. The surface microstructure was analyzed by SEM, EDS, XRD, and OM. The influence of the marine atmospheric corrosion on mechanical properties was studied by tensile and fatigue tests. The results show that the 7B04-T74 aluminum alloy has good corrosion resistance, as only pitting corrosion occurs in the marine atmospheric environment. The tensile properties of the 7B04-T74 aluminum alloy remained fundamentally the same before and after corrosion. The fatigue properties of the 7B04-T74 aluminum alloy were severely reduced, but the localized pitting corrosion only affected the initiation stage of the crack and had little effect on the crack propagation process. Full article
(This article belongs to the Special Issue Corrosion Prediction in Different Environment)
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Review

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13 pages, 4178 KiB  
Review
Influence of Corrosion-Induced Damage on Mechanical Integrity and Load-Bearing Capability of Cemented Carbides
by Yafeng Zheng, Gemma Fargas, Elaine Armelin, Olivier Lavigne, Qunli Zhang, Jianhua Yao and Luis Llanes
Metals 2022, 12(12), 2104; https://doi.org/10.3390/met12122104 - 7 Dec 2022
Viewed by 1399
Abstract
Tungsten carbide based cemented carbides, often simply termed hardmetals, are established forefront materials for tools, structural components, and wear parts with stringent requirements. Several of the technological applications in which they are used include exposure to chemically aggressive media. Under these conditions, failure [...] Read more.
Tungsten carbide based cemented carbides, often simply termed hardmetals, are established forefront materials for tools, structural components, and wear parts with stringent requirements. Several of the technological applications in which they are used include exposure to chemically aggressive media. Under these conditions, failure induced under applied load may be accelerated; and consequently, the service life may be decreased. Within this context, this work addresses the influence of corrosion-induced damage on the mechanical integrity and load-bearing capability of hardmetals at different length scales, i.e., from 100s nanometers to 1000s microns. Experimental data acquired by means of nanoindentation, pyramidal, and spherical indentation, as well as sliding contact (micro- and nanoscratch) techniques, are presented. The attained results allow for identifying guidelines for the microstructural design of these materials under combined consideration of corrosion and mechanical contact as service-like conditions. Discussion of the reported findings includes a critical analysis of corrosion effects on the evolution of microstructure-property-performance interrelations for the materials under consideration. Full article
(This article belongs to the Special Issue Corrosion Prediction in Different Environment)
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