[go: up one dir, main page]
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.9
2.6
Journals
Metals
Special Issues
Corrosion Prediction in Different Environment
share announcement

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 11484

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

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

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 8 | Viewed by 3109
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)
►▼ Show Figures

Figure 1

Figure 1
<p>Conceptual diagram of (<b>a</b>) DT algorithm indicating root node, internal nodes, and leaf nodes (inspired from [<a href="#B30-metals-13-01459" class="html-bibr">30</a>]); (<b>b</b>) SVM algorithm in a 2D data set (inspired from [<a href="#B36-metals-13-01459" class="html-bibr">36</a>]); (<b>c</b>) RF algorithm consisting of N decision trees (inspired from [<a href="#B37-metals-13-01459" class="html-bibr">37</a>]).</p> Full article ">Figure 2
<p>Diagram illustrating the designed and implemented procedures for classifying and predicting corrosion behavior.</p> Full article ">Figure 3
<p>A sample which has a quantified corrosion behavior label is highlighted within the red box (based on database [<a href="#B38-metals-13-01459" class="html-bibr">38</a>]).</p> Full article ">Figure 4
<p>A sample which lacks the lactic acid concentration feature is highlighted within the red box (based on database [<a href="#B38-metals-13-01459" class="html-bibr">38</a>]).</p> Full article ">Figure 5
<p>Confusion matrix for DT model, presenting the number of <span class="html-italic">T<sub>p</sub></span> and <span class="html-italic">F<sub>n</sub></span> labels.</p> Full article ">Figure 6
<p>Confusion matrix for RF, presenting the number of <span class="html-italic">T<sub>p</sub></span> and <span class="html-italic">F<sub>n</sub></span> labels.</p> Full article ">Figure 7
<p>Confusion matrix for SVM model (<b>a</b>) before hyperparameter tuning (<b>b</b>) after hyperparameter tuning, presenting the number of <span class="html-italic">T<sub>p</sub></span> and <span class="html-italic">F<sub>n</sub></span> labels.</p> Full article ">Figure 8
<p>Receiver operating characteristic (ROC) curve for corrosion behavior labels.</p> Full article ">Figure 9
<p>Training and testing accuracies based on number of input features for (<b>a</b>) DT; (<b>b</b>) RF; and (<b>c</b>) SVM.</p> Full article ">Figure 10
<p>ROC curve after feature reduction.</p> Full article ">
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 4 | Viewed by 2760
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)
►▼ Show Figures

Figure 1

Figure 1
<p>Schematic diagram of potentiodynamic polarization curve test.</p> Full article ">Figure 2
<p>Calculated corrosion depth (<b>a</b>) and corrosion rate (<b>b</b>) of the 7B04-T74 aluminium alloy.</p> Full article ">Figure 3
<p>The surface morphology of uncorroded (<b>a</b>), after 48 h (<b>b</b>) and 576 h (<b>c</b>) of the 7B04-T74 aluminium alloy.</p> Full article ">Figure 4
<p>The metallographic morphology of the uncorroded 7B04-T74 aluminium alloy.</p> Full article ">Figure 5
<p>The surface morphology of the 7B04-T74 aluminium alloy corroded for 48 h (<b>a</b>) and 576 h (<b>c</b>), where (<b>b</b>) is the enlarged image of (<b>a</b>,<b>d</b>) is the enlarged image of (<b>c</b>).</p> Full article ">Figure 6
<p>The EDS point scanning of the 7B04-T74 aluminium alloy corroded for 48 h.</p> Full article ">Figure 7
<p>The EDS surface scanning results of the 7B04-T74 aluminium alloy after 576 h of corrosion.</p> Full article ">Figure 8
<p>Total XPS spectrogram of the corrosion products of the 7B04-T74 aluminium alloy after 48 h of corrosion.</p> Full article ">Figure 9
<p>XPS spectrogram for (<b>a</b>) Al2p, (<b>b</b>) O1s, and (<b>c</b>) Cl2p of the corrosion products after 48 h.</p> Full article ">Figure 10
<p>Relative content of the corrosion products of the 7B04-T74 aluminium alloy under different corrosion times.</p> Full article ">Figure 11
<p>Potentiodynamic polarization curves after different corrosion times.</p> Full article ">Figure 12
<p>The corrosion mechanism of the 7B04-T74 aluminium alloy in the tropical marine atmosphere.</p> Full article ">
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 2 | Viewed by 2428
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)
►▼ Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) The illustration of specimen processing and the dimensions of (<b>b</b>) the tensile and fatigue specimens and (<b>c</b>) the compact tension (CT) specimens (unit mm).</p> Full article ">Figure 2
<p>The SEM morphology (<b>a</b>), EDS spectral diagram (<b>b</b>), and XRD diffraction pattern (<b>c</b>) of the uncorroded specimen of the 7B04-T74 aluminum alloy, with the metallographic morphology (<b>d</b>) of the surface of the specimen after polishing.</p> Full article ">Figure 3
<p>The surface morphology of uncorroded (<b>a</b>), corroded for 48 h (<b>b</b>), and 576 h (<b>c</b>) of the specimen of the 7B04-T74 aluminum alloy.</p> Full article ">Figure 4
<p>Surface microscopic morphology of the 7B04-T74 aluminum alloy after alternate immersion test for (<b>a</b>) 48 h, (<b>d</b>) 96 h, (<b>f</b>) 144 h, and (<b>g</b>) 576 h, where (<b>b</b>,<b>c</b>,<b>e</b>,<b>h</b>,<b>i</b>) are enlarged images of (<b>a</b>,<b>d</b>,<b>g</b>), respectively.</p> Full article ">Figure 5
<p>Stress–strain curve of the 7B04-T74 aluminum alloy after alternate immersion test.</p> Full article ">Figure 6
<p>Fatigue life of the 7B04-T74 aluminum alloy after 576 h alternate immersion test.</p> Full article ">Figure 7
<p>The curves of the fatigue crack propagating rate and the amplitude of stress intensity factor under mean stresses of (<b>a</b>) 5 MPa, (<b>b</b>) 7.5 MPa, and (<b>c</b>) 10 MPa.</p> Full article ">Figure 8
<p>The curves of the fatigue crack length under mean stresses of (<b>a</b>) 5 MPa, (<b>b</b>) 7.5 MPa, and (<b>c</b>) 10 MPa.</p> Full article ">

Review

Jump to: Research

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
Cited by 1 | Viewed by 2146
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)
►▼ Show Figures

Figure 1

Figure 1
<p>Number of publications reported in open literature addressing either individual or combined action of different degradation phenomena in cemented carbides: corrosion, wear, contact loading, abrasion, and scratch.</p> Full article ">Figure 2
<p>Scheme illustrating the techniques employed and research layout in revised works (Refs. [<a href="#B43-metals-12-02104" class="html-bibr">43</a>,<a href="#B44-metals-12-02104" class="html-bibr">44</a>,<a href="#B45-metals-12-02104" class="html-bibr">45</a>,<a href="#B46-metals-12-02104" class="html-bibr">46</a>]).</p> Full article ">Figure 3
<p>(<b>a</b>) Hardness and Young’s modulus values as a function of penetration depth, (<b>b</b>) nanoindentation residual imprints, (<b>c</b>) FIB cross-section of indented surface, (<b>d</b>) typical penetration depth—scratch distance (under increasing applied load condition) curves, (<b>e</b>) micrographs of two scratch tracks, and (<b>f</b>) FIB cross-sections of the scratch track corresponding to a load level of 225 mN for non-corroded and corroded 6CoM samples (adapted from Ref. [<a href="#B43-metals-12-02104" class="html-bibr">43</a>]).</p> Full article ">Figure 4
<p>(<b>a</b>) Cross-section view of cracking phenomena resulting from pyramidal indentation under an applied load of 294 N for specimens previously exposed to corrosion media during different times, and (<b>b</b>) subsurface cracking scenario induced by scratching for non-corroded and corroded 6CoM samples (adapted from Ref. [<a href="#B44-metals-12-02104" class="html-bibr">44</a>]).</p> Full article ">Figure 5
<p>Damage evolution diagram for 6CoM, 6CoCrM, and 6NiCrM samples as a function of indentation load and corrosion time. Main damage features ascribed to each symbol (no cracks, partial ring crack, full ring crack, radial crack, and specimen breakage) are shown within the legend, including images of representative events (adapted from Ref. [<a href="#B45-metals-12-02104" class="html-bibr">45</a>]).</p> Full article ">Figure 6
<p>FESEM images of the indented area (residual imprints) for (<b>a</b>) 6NiCrM specimen, and (<b>b</b>) 6NiCrM “clamped-interface” specimens: micrographs of subsurface damage for non-corroded and corroded (7 days) conditions (adapted from Ref. [<a href="#B45-metals-12-02104" class="html-bibr">45</a>]).</p> Full article ">Figure 7
<p>(<b>a</b>) Surface damage scenario and corresponding damage evolution diagrams and (<b>b</b>) LSCM micrographs of damage scenario at regions close to the contour of impressions resulting from contact fatigue tests performed (under a maximum applied load of 2000 N) on corroded specimens at a different number of cycles (adapted from Ref. [<a href="#B46-metals-12-02104" class="html-bibr">46</a>]).</p> Full article ">Figure 8
<p>(<b>a</b>) FESEM and LSCM images of indented areas (residual imprints) and enlarged views of corresponding square areas under different experimental conditions, (<b>b</b>) EDX mapping of residual imprint in an uncorroded hardmetal sample, and (<b>c</b>) FIB/FESEM cross-section micrographs of Hertzian contact showing deformation and damage scenarios at the contour of residual impressions (adapted from Ref. [<a href="#B46-metals-12-02104" class="html-bibr">46</a>]).</p> Full article ">
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop