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Metals
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Advances in High-Strength Low-Alloy Steels (2nd Edition)
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Advances in High-Strength Low-Alloy Steels (2nd Edition)

A special issue of Metals (ISSN 2075-4701).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 3390

Special Issue Editors

Dr. Zhenjia Xie

E-Mail Website
Guest Editor
Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China
Interests: processing–microstructure–property correlation; precipitation engineering; grain boundary engineering; retained austenite; TRIP effect; TMCP and heat treatment; thermodynamic calculation; phase-field modeling; big-data mining; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Xueda Li

E-Mail Website
Guest Editor
School of Materials Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
Interests: HSLA steels; physical metallurgy during welding; steel corrosion and protection in oil & gas industry
Special Issues, Collections and Topics in MDPI journals
Dr. Xiangliang Wan

E-Mail Website
Guest Editor
Department of Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China
Interests: phase transformation; thermo-dynamical calculation; microstructural characterization; grain refinement; strengthening and toughening mechanisms in high strength low alloy steels
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

High-strength low-alloy steels are a kind of metal material available in large quantities and having wide application. With the development of society and economy, as well as the increasing human awareness of environmental protection, more stringent requirements have been put forward for the performance of high-strength low-alloy steels. Performance goals include higher strength but also the development of functional coupling materials for applications such as earthquake resistance, weather resistance, fire resistance, crack arrest, and so on. According to the different application requirements, new materials and new processes are emerging. Research and design methods are constantly innovating. Big data science and data mining, machine learning, and artificial intelligence are being used in the design and development of high-strength low-alloy steels. In view of these, this Special Issue entitled “Advances in High-Strength Low-Alloy Steels” has been launched. The purpose of this Special Issue is to organize information about the breakthrough of new material properties of high-strength low-alloy steels, new materials and new technologies, innovation in material characterization and theory, as well as the application of big data and artificial intelligence in the development and production of high-strength low-alloy steels.

Dr. Zhenjia Xie
Dr. Xueda Li
Dr. Xiangliang Wan
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. 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

  • processing–microstructure–property correlation
  • precipitation engineering
  • grain boundary engineering
  • retained austenite
  • TRIP effect
  • TMCP and heat treatment
  • thermodynamic calculation
  • modeling
  • big data mining
  • machine learning

Published Papers (3 papers)

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Research

13 pages, 7792 KiB  
Article
Evolution of the Heterogeneous Microstructure of a 12Cr1MoV Welded Joint after Post-Weld Heat Treatment and Its Effect on Mechanical Properties
by Bin Yang, Guanghua Sun, Xiaodong Hu, Zichen Liu, Xuefang Xie, Wei Peng and Xiaoming Shao
Metals 2023, 13(12), 1998; https://doi.org/10.3390/met13121998 - 12 Dec 2023
Viewed by 758
Abstract
The non-uniformity of microstructures and mechanical properties across a whole welded joint is a crucial factor leading to its weakening performance and premature failure. Post-weld heat treatment is a primary method for increasing the mechanical properties. However, the evolution mechanism of mechanical properties [...] Read more.
The non-uniformity of microstructures and mechanical properties across a whole welded joint is a crucial factor leading to its weakening performance and premature failure. Post-weld heat treatment is a primary method for increasing the mechanical properties. However, the evolution mechanism of mechanical properties related to heterogeneous microstructure after heat treatment remains unclear, making it challenging to design the heat treatment process and evaluate its effect comprehensively. In this study, microstructure characterization and a series of mechanical tests of 12Cr1MoV welded joint after the stress relief annealing (SRA) and tempering heat treatment (THT) were conducted. The effect of heat treatment on mechanical properties is analyzed based on the comparison between stress relief annealing and tempering heat treatment in terms of tensile properties, impact toughness, and impact fracture morphology. The results indicate that, after the tempering heat treatment, the evolution of mechanical properties in each subzone of the joint is consistent, i.e., the hardness and tensile strength decreased while the toughness increased. Notably, the most substantial enhancement in toughness is observed in the weld zone, primarily due to a significant reduction in the presence of pre-eutectoid ferrite. Furthermore, it is proved that hardness is an indicator to reflect changes in tensile strength related to the microstructure evolution, which indicates it can be employed to evaluate the effectiveness of post-weld heat treatment in practical engineering. Full article
(This article belongs to the Special Issue Advances in High-Strength Low-Alloy Steels (2nd Edition))
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14 pages, 4936 KiB  
Article
Deep Learning-Based Understanding of Defects in Continuous Casting Product
by Zeyuan Ding, Jingxiao Zhao, Raja Devesh Kuma Misra, Fujian Guo, Zhenjia Xie, Xuelin Wang, Xiucheng Li, Jingliang Wang and Chengjia Shang
Metals 2023, 13(11), 1809; https://doi.org/10.3390/met13111809 - 27 Oct 2023
Cited by 2 | Viewed by 1178
Abstract
A novel YOLOv5 network is presented in this paper to quantify the degree of defects in continuously cast billets. The proposed network addresses the challenges posed by noise or dirty spots and different defect sizes in the images of these billets. The CBAM-YOLOv5 [...] Read more.
A novel YOLOv5 network is presented in this paper to quantify the degree of defects in continuously cast billets. The proposed network addresses the challenges posed by noise or dirty spots and different defect sizes in the images of these billets. The CBAM-YOLOv5 network integrates the channel and spatial attention of the Convolutional Block Attention Module (CBAM) with the C3 layer of the YOLOv5 network structure to better fuse channel and spatial information, with focus on the defect target, and improve the network’s detection capability, particularly for different levels of segregation. As a result, the feature pyramid is improved. The feature map obtained after the fourth down-sampling of the backbone network is fed into the feature pyramid through CBAM to improve the perceptual field of the target and reduce information loss during the fusion process. Finally, a self-built dataset of continuously cast billets collected from different sources is used, and several experiments are conducted using this database. The experimental results show that the average accuracy (mAP) of the network is 93.7%, which can achieve intelligent rating. Full article
(This article belongs to the Special Issue Advances in High-Strength Low-Alloy Steels (2nd Edition))
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13 pages, 12715 KiB  
Article
The Influence of 1 wt.% Cr on the Corrosion Resistance of Low-Alloy Steel in Marine Environments
by Jianzhuo Gao, Ningxi Wang, Hui Chen and Xuexu Xu
Metals 2023, 13(6), 1050; https://doi.org/10.3390/met13061050 - 30 May 2023
Cited by 1 | Viewed by 1077
Abstract
In this study, the effects of 1 wt.% Cr addition on the corrosion behavior and mechanisms of low-alloy structural steel in a marine environment were investigated through immersion experiments, corrosion product analysis, and electrochemical experimental systems. The results demonstrate that the addition of [...] Read more.
In this study, the effects of 1 wt.% Cr addition on the corrosion behavior and mechanisms of low-alloy structural steel in a marine environment were investigated through immersion experiments, corrosion product analysis, and electrochemical experimental systems. The results demonstrate that the addition of 1 wt.% Cr significantly enhances the corrosion resistance of low-alloy steel in marine environments. The influence of Cr addition on the corrosion product layer was analyzed through rust layer morphology, cross-sectional morphology, elemental distribution, and electrochemical systems. Cr addition effectively promotes the densification of the corrosion product layer on the surface of low-alloy steel in marine environments, hindering the penetration of corrosive ions and thus improving corrosion resistance. This study’s findings can promote the optimization of corrosion resistance in low-alloy steel in marine environments and enhance its application prospects in marine environments. Full article
(This article belongs to the Special Issue Advances in High-Strength Low-Alloy Steels (2nd Edition))
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