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Mechanics, Fatigue and Fracture of Metallic Materials (Second Edition)
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Mechanics, Fatigue and Fracture of Metallic Materials (Second Edition)

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Metals and Alloys".

Deadline for manuscript submissions: closed (20 March 2025) | Viewed by 2668

Special Issue Editors

Dr. Zbigniew Marciniak

E-Mail Website
Guest Editor
Department of Mechanics and Machine Design, Opole University of Technology, 45-271 Opole, Poland
Interests: damage mechanics; failure analysis; fatigue of materials; fracture of materials; metal composites; mechanical properties
Special Issues, Collections and Topics in MDPI journals
Dr. Rui F. Martins

E-Mail Website
Guest Editor
Department of Mechanical and Industrial Engineering, NOVA School of Science & Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
Interests: fatigue; fracture; structural integrity; failure analysis; mechanical behaviour of materials
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Metallic materials are one of the largest groups used to produce machine components and structures. Moreover, the development of technology enables the creation of new alloys of these materials that also affect their individual characteristics depending on their production method. Therefore, the impact of these features on durability and mechanical strength requires knowledge of the damage mechanisms and their development under static and cyclic loadings.

Experimental research allows for understanding the damage mechanism, analyzing it in depth and providing information for computer simulations.

The Special Issue is devoted to the development of experimental and theoretical methods of evaluation and a description of the behavior of metallic materials subjected to fatigue loads, including but not limited to the following topics:

  • Uniaxial and multiaxial fatigue;
  • Damage mechanisms;
  • Damage accumulation models;
  • Fatigue crack growth;
  • Mixed-mode fracture;
  • Fatigue life assessment;
  • Failure analysis;
  • Metal composites.

In this Special Issue, we will explore the research progress made in understanding materials and structures' fatigue and failure mechanisms. Therefore, we kindly invite researchers and practitioners to share their expertise and insights.

Dr. Zbigniew Marciniak
Dr. Rui F. Martins
Guest Editors

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. Materials is an international peer-reviewed open access semimonthly 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

  • fatigue of metals
  • multiaxial fatigue
  • fatigue crack growth
  • mixed-mode fracture
  • fatigue crack growth
  • crack paths
  • fatigue life assessment
  • failure analysis
  • damage mechanism
  • damage accumulation models
  • metal composites

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

Related Special Issue

Published Papers (2 papers)

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Research

20 pages, 14684 KiB  
Article
Creep Failure Behavior in the Weak Areas of 12Cr1MoV Main Steam Pipe Elbow Utilized in Thermal Power Plants
by Shutao Wang, Renqiang Shi, Jian Wu, Chao Yang and Huan Liu
Materials 2025, 18(4), 812; https://doi.org/10.3390/ma18040812 - 12 Feb 2025
Viewed by 519
Abstract
The main steam pipe elbow is a critical metallic component in thermal power plants. Due to prolonged exposure to high temperatures and pressures, it experiences microstructural degradation and creep damage, thereby affecting its service life. Currently, there is debate regarding the location of [...] Read more.
The main steam pipe elbow is a critical metallic component in thermal power plants. Due to prolonged exposure to high temperatures and pressures, it experiences microstructural degradation and creep damage, thereby affecting its service life. Currently, there is debate regarding the location of the weakest region within the elbow, with uncertainty over whether it lies in the inner arc or neutral plane area. This study investigates the microstructure and creep properties of both the inner arc and neutral surface regions of an elbow that has been in operation for 183,088 h, aiming to identify the actual weak region and explore the underlying creep damage mechanisms. The results indicate that under identical temperature and stress conditions, samples from the neutral plane region exhibit significantly higher creep rates and shorter creep rupture times compared to those from the inner arc region. This suggests that the creep life in the vicinity of the inner surface in the neutral plane is markedly lower than that in the inner arc region. Microstructural analysis before and after creep fracture reveals that key factors influencing the creep performance of 12Cr1MoV elbows include carbide size, precipitation amount and distribution, grain size and morphology, as well as the stability and uniformity of grain orientation. Specifically, the growth of intragranular precipitates, the accumulation and non-uniform distribution of grain boundary carbides, and the non-uniform distribution of grain sizes all contribute to the rapid formation of creep cracks and premature material failure. This study concludes that the weakest region in the elbow is located at the inner surfaces of the neutral plane. Future inspections and life assessments of thermal power plant elbows should therefore focus on this area to enhance the accuracy of life evaluations and ensure the safety of thermal power plants. Full article
(This article belongs to the Special Issue Mechanics, Fatigue and Fracture of Metallic Materials (Second Edition))
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21 pages, 5094 KiB  
Article
Parameter Optimization of a Surface Mechanical Rolling Treatment Process to Improve the Surface Integrity and Fatigue Property of FV520B Steel by Machine Learning
by Yongxin Zhou, Zheng Xing, Qianduo Zhuang, Jiao Sun and Xingrong Chu
Materials 2024, 17(18), 4505; https://doi.org/10.3390/ma17184505 - 13 Sep 2024
Cited by 3 | Viewed by 1556
Abstract
Surface integrity is a critical factor that affects the fatigue resistance of materials. A surface mechanical rolling treatment (SMRT) process can effectively improve the surface integrity of the material, thus enhancing the fatigue property. In this paper, an analysis of variance (ANOVA) and [...] Read more.
Surface integrity is a critical factor that affects the fatigue resistance of materials. A surface mechanical rolling treatment (SMRT) process can effectively improve the surface integrity of the material, thus enhancing the fatigue property. In this paper, an analysis of variance (ANOVA) and signal-to-noise ratio (SNR) are performed by orthogonal experimental design with SMRT parameters as variables and surface integrity indicators as optimization objectives, and the support vector machine-active learning (SVM-AL) model is proposed based on machine learning theory. The entire model includes three rounds of AL processes. In each round of the AL process, the SMRT parameters with relative average deviation and high output values from cross-validation are selected for the additional experimental supplement. The results show that the prediction accuracy and generalization ability of the SVM-AL model are significantly improved compared to the support vector machine (SVM) model. A fatigue test was also carried out, and the fatigue property of the SMRT specimens predicted by the SVM-AL model is also higher than that of the other specimens. Full article
(This article belongs to the Special Issue Mechanics, Fatigue and Fracture of Metallic Materials (Second Edition))
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