steel research international最新文献_第8页

Microstructure–Mechanical Property Correlations and Tensile Elastoplastic Behavior of Similar Rotary Friction Welded 304L/316L Stainless Steel Joints 304L/316L不锈钢旋转摩擦焊接接头的显微组织-力学性能相关性及拉伸弹塑性行为

IF 2.3 3区材料科学

steel research international Pub Date : 2026-07-03 Epub Date: 2026-01-14 DOI: 10.1002/srin.202501008

Samir Hariti, Taoufik Boukharouba, Ahmed Haddad, Hicham Bouchareb, Ammar Jabbar Hassan

{"title":"Microstructure–Mechanical Property Correlations and Tensile Elastoplastic Behavior of Similar Rotary Friction Welded 304L/316L Stainless Steel Joints","authors":"Samir Hariti, Taoufik Boukharouba, Ahmed Haddad, Hicham Bouchareb, Ammar Jabbar Hassan","doi":"10.1002/srin.202501008","DOIUrl":"https://doi.org/10.1002/srin.202501008","url":null,"abstract":"This work elucidates the relationship between welding parameters, microstructure evolution, and tensile elastoplastic behavior in 304L and 316L stainless steels, contributing to fundamental understanding of strain hardening and grain refinement mechanisms. Welding is performed under varying friction (5, 6, 8, 10 s) and forging (5, 8, 10 s) times. Grain refinement occurs in the welding zone (WZ) due to dynamic recrystallization. In 316L, WZ grain size reduces from 8.38 μm to 3.87 μm with longer friction times, while in 304L, it drops from 8.57 μm to 5.36 μm at 6 s and then stabilizes between 5.60 and 5.65 μm for longer friction times. This grain refinement leads to increased microhardness in the WZ, and the heat-affected zone of 316L shows further hardness increase due to its molybdenum content. Tensile testing shows continuous yielding in both steels: 316L exhibits higher stiffness and strength, while 304L displays better ductility. The proportional limit (σ0) follows the Hall–Petch relationship in both materials, and for 316L, microhardness also correlates with grain size. While base metals show three distinct strain hardening stages, rotary friction welding joints exhibit only stages II and III. Notably, at 5 s of friction time, enhanced strain hardening is observed. Fractography reveals ductile fracture characteristics in all joints.","PeriodicalId":21929,"journal":{"name":"steel research international","volume":"97 7","pages":"3485-3502"},"PeriodicalIF":2.3,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148386738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Contents: steel research int. 7/2026 内容：钢铁研究；7/2026

IF 2.3 3区材料科学

steel research international Pub Date : 2026-07-03 DOI: 10.1002/srin.70585

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Influence of Heat Treatment Temperature on Crevice and Pitting Corrosion of UNS S32205 Duplex Stainless Steel 热处理温度对UNS S32205双相不锈钢缝隙和点蚀的影响

IF 2.3 3区材料科学

steel research international Pub Date : 2026-07-03 Epub Date: 2025-12-31 DOI: 10.1002/srin.202500928

Alba Regina Turin, Jomar José Knaip Ribeiro, Alex Pizzatto, Oriana Palma Calabokis, Yamid E. Nuñez de la Rosa, Pedro Victorio Caetano Abrantes Quadros, Claudio Moreira de Alcantara, Tiago Cousseau, Paulo César Borges

{"title":"Influence of Heat Treatment Temperature on Crevice and Pitting Corrosion of UNS S32205 Duplex Stainless Steel","authors":"Alba Regina Turin, Jomar José Knaip Ribeiro, Alex Pizzatto, Oriana Palma Calabokis, Yamid E. Nuñez de la Rosa, Pedro Victorio Caetano Abrantes Quadros, Claudio Moreira de Alcantara, Tiago Cousseau, Paulo César Borges","doi":"10.1002/srin.202500928","DOIUrl":"https://doi.org/10.1002/srin.202500928","url":null,"abstract":"Duplex stainless steels (DSSs) have outstanding mechanical properties and corrosion resistance. However, operating conditions and/or inadequate heat treatments can induce precipitation of deleterious phases or change the proportion of ferrite (α) and austenite (γ) phases. This study evaluates the impact of ageing at 850 and 950 °C and solubilization at 1000 and 1150 °C treatments on pitting and crevice corrosion of DSS UNS S32205. Cyclic polarization tests revealed that samples with a more balanced α/γ ratio (≈50/50), that is, the base material (BM) and that solubilized at 1000 °C, exhibited the lowest corrosion rate (0.044–0.074 μm/year) and better repassivation capacity (ER ≈ 0.96 V). Conversely, the 1150 °C treatment led to reduced corrosion resistance (0.158 ± 0.009 μm/year) and is associated with a reduction in the %Cr in α. Pitting is present in the aged conditions only. Moreover, the BM and 1000 °C samples showed the lowest crevice corrosion susceptibility, presenting the lowest volume loss (1 × 106 μm3 cm−2) and current densities (≈1000 μA cm−2), followed by samples treated at 1150, 950, and 850 °C. Therefore, the results show that ageing treatments make UNS S32205 susceptible to pitting and crevice corrosion, which is related to the deleterious phase fraction and the α/γ ratio imbalance.","PeriodicalId":21929,"journal":{"name":"steel research international","volume":"97 7","pages":"3456-3473"},"PeriodicalIF":2.3,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/srin.202500928","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148386897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Effects of the Alumina Particle Size and Slag Composition on the Dissolution Behavior of Alumina in Steelmaking Slags 氧化铝粒度和炉渣组成对氧化铝在炼钢渣中溶解行为的影响

IF 2.3 3区材料科学

steel research international Pub Date : 2026-07-03 Epub Date: 2026-01-22 DOI: 10.1002/srin.202500861

Taejun Kwack, Yongsug Chung

{"title":"Effects of the Alumina Particle Size and Slag Composition on the Dissolution Behavior of Alumina in Steelmaking Slags","authors":"Taejun Kwack, Yongsug Chung","doi":"10.1002/srin.202500861","DOIUrl":"https://doi.org/10.1002/srin.202500861","url":null,"abstract":"The dissolution behavior of Al2O3 inclusions in steelmaking slag is investigated at 1550 °C using the single hot thermocouple technique. The slag system is based on CaO–SiO2–Al2O3–MgO, with basicity (CaO/SiO2 ratio) of 0.8, 1.0, and 1.2; Al2O3 contents of 10 and 20 wt%; and initial particle radius set to 9–11, 25–35, and 50–65 μm. In 10 wt% Al2O3 slags, smaller particle radius results in shorter complete dissolution times, and the dissolution behavior appears continuous. Application of the shrinking core model reveals that dissolution of larger particles is controlled by boundary layer diffusion, whereas smaller particles are controlled by surface chemical reaction. When the initial particle radius is ≈10 μm, dissolution is rapid with little dependence on slag composition. For particles larger than 25 μm, complete dissolution time varies significantly with composition. A model is established to describe the relationship between the initial particle radius and complete dissolution time, and the diffusion coefficients derived from this model are found to be within the range reported in previous studies. In 20 wt% Al2O3 slags, smaller particles still dissolve faster. However, spinel formation and slag penetration cause complex, discontinuous dissolution behavior, with dissolution times up to 225 times longer than those in 10 wt% Al2O3 slags.","PeriodicalId":21929,"journal":{"name":"steel research international","volume":"97 7","pages":"3576-3587"},"PeriodicalIF":2.3,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148386844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IF 2.5 3区材料科学

steel research international Pub Date : 2026-05-26

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IF 2.5 3区材料科学

steel research international Pub Date : 2026-05-26

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IF 2.5 3区材料科学

steel research international Pub Date : 2026-05-26

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Intelligent Empowerment for Green Steel Manufacturing: Artificial Intelligence-Driven Process Optimization 绿色钢铁制造的智能赋能：人工智能驱动的流程优化

IF 2.5 3区材料科学

steel research international Pub Date : 2026-04-27 Epub Date: 2025-11-04 DOI: 10.1002/srin.202500737

Nanfu Zong, Tao Jing, Jean-Christophe Gebelin

{"title":"Intelligent Empowerment for Green Steel Manufacturing: Artificial Intelligence-Driven Process Optimization","authors":"Nanfu Zong, Tao Jing, Jean-Christophe Gebelin","doi":"10.1002/srin.202500737","DOIUrl":"https://doi.org/10.1002/srin.202500737","url":null,"abstract":"With the rapid development of machine learning, deep learning, and large model technologies, the intelligent empowerment of green steel manufacturing has become a research hotspot. This paper systematically explores the deep integration of digital and intelligent technologies with the steelmaking process industry, focusing on analyzing their current applications in core processes such as converters, electric arc furnaces, refining, and continuous casting. It proposes the adoption of cutting-edge technologies such as multimodal perception and early warning, resource collaborative optimization, digital twins, and full-process causal reasoning to achieve low-carbon green production and intelligent, efficient collaboration in the steelmaking process. Finally, the article discusses the challenges of deep integration of artificial intelligence in the steelmaking-continuous casting section, potential strategies for large models to empower green manufacturing, and future prospects, providing transformative ideas and theoretical support for the intelligent empowerment of green steel manufacturing.","PeriodicalId":21929,"journal":{"name":"steel research international","volume":"97 5","pages":"2343-2355"},"PeriodicalIF":2.5,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148066142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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A Review of Macrosegregation Simulation for the Continuous Casting Process 连铸过程宏观偏析模拟研究进展

IF 2.5 3区材料科学

steel research international Pub Date : 2026-04-27 Epub Date: 2025-11-11 DOI: 10.1002/srin.202500586

Yadong Wang, Lifeng Zhang

{"title":"A Review of Macrosegregation Simulation for the Continuous Casting Process","authors":"Yadong Wang, Lifeng Zhang","doi":"10.1002/srin.202500586","DOIUrl":"https://doi.org/10.1002/srin.202500586","url":null,"abstract":"Macrosegregation is a common defect that occurs on a large-scale range of 0.01–1 m, and cannot be eliminated during the rolling and homogenization heat treatment process. A comprehensive understanding of its formation mechanisms and accurate predictive modeling is significant for both scientific research and industrial practice. The review first outlines the fundamental mechanisms of macrosegregation formation, including negative segregation in the subsurface, positive segregation in the columnar-to-equiaxed transition zone, V-shaped segregation, and center segregation. The two primary modeling approaches (the continuum model and the multiphase solidification model) are compared in terms of their governing equations and computational efficiency. Recent developments and applications of macrosegregation in both approaches are summarized. Continuum models are advantageous for large-scale industrial simulations due to their lower computational demand, while multiphase solidification models are preferred when detailed mechanisms of solid–liquid interaction need to be captured. In future simulating studies on macrosegregation, macrosegregation modeling could incorporate machine learning approaches to enable real-time forecasting. For precise predictions of macrosegregation, the coupling of macrosegregation modeling with formation and growth kinetics of inclusions should be established and used in the simulation of the continuous casting process.","PeriodicalId":21929,"journal":{"name":"steel research international","volume":"97 5","pages":"2370-2382"},"PeriodicalIF":2.5,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148074092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Revisit of Secondary Recrystallization Mechanism in Grain-Oriented Electrical Steels: A Review 晶粒取向电工钢二次再结晶机理研究进展

IF 2.5 3区材料科学

steel research international Pub Date : 2026-04-27 Epub Date: 2025-11-21 DOI: 10.1002/srin.202500517

Luyu Yang, Xianhao Li, Haiwen Luo

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