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Tribological properties of high-entropy alloys:A review

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International Journal of Minerals,Metallurgy and Materials 2022年第3期29卷 389-403页

作者： Zhuo Cheng Shuize Wang Guilin Wu junheng gao Xusheng Yang Honghui Wu Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Yangjiang Branch Guangdong Laboratory for Materials Science and Technology(Yangjiang Advanced Alloys Laboratory)Yangjiang 529500China Department of Industrial and Systems Engineering The Hong Kong Polytechnic UniversityHong KongChina

Tribology,which is the study of friction,wear,and lubrication,largely deals with the service performance of structural *** example,newly emerging high-entropy alloys(HEAs),which exhibit excellent hardness,anti-oxidation,anti-softening ability,and other prop-erties,enrich the wear-resistance alloy *** demonstrate the tribological behavior of HEAs systematically,this review first describes the basic tribological characteristics of single-,dual-,and multi-phase HEAs and HEA composites at room ***,it summarizes the strategies that improve the tribological property of *** review also discusses the tribological performance at elevated temperatures and provides a brief perspective on the future development of HEAs for tribological applications.

关键词： high-entropy alloys tribological properties room temperature elevated temperature

Advances in machine learning-and artificial intelligence-assisted material design of steels

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International Journal of Minerals,Metallurgy and Materials 2023年第6期30卷 1003-1024页

作者： Guangfei Pan Feiyang Wang Chunlei Shang Honghui Wu Guilin Wu junheng gao Shuize Wang Zhijun gao Xiaoye Zhou Xinping Mao Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Yangjiang Branch Guangdong Laboratory for Materials Science and Technology(Yangjiang Advanced Alloys Laboratory)Yangjiang 529500China Guangdong Province Key Laboratory of Durability for Marine Civil Engineering School of Civil EngineeringShenzhen UniversityShenzhen 518060China

With the rapid development of artificial intelligence technology and increasing material data,machine learning-and artificial intelligence-assisted design of high-performance steel materials is becoming a mainstream paradigm in materials *** learning methods,based on an interdisciplinary discipline between computer science,statistics and material science,are good at discovering correlations between numerous data *** with the traditional physical modeling method in material science,the main advantage of machine learning is that it overcomes the complex physical mechanisms of the material itself and provides a new perspective for the research and development of novel *** review starts with data preprocessing and the introduction of different machine learning models,including algorithm selection and model ***,some successful cases of applying machine learning methods in the field of steel research are reviewed based on the main theme of optimizing composition,structure,processing,and *** application of machine learning methods to the performance-oriented inverse design of material composition and detection of steel defects is also ***,the applicability and limitations of machine learning in the material field are summarized,and future directions and prospects are discussed.

关键词： machine learning data-driven design new research paradigm high-performance steel

Enhanced Hydrogen Embrittlement Resistance via Cr Segregation in Nanocrystalline Fe-Cr Alloys

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Acta Metallurgica Sinica(English Letters) 2023年第12期36卷 1925-1935页

作者： Linshuo Dong Feiyang Wang Hong-Hui Wu Mengjie gao Penghui Bai Shuize Wang Guilin Wu junheng gao Xiaoye Zhou Xinping Mao Beijing Advanced Innovation Center for Materials Genome Engineering Innovation Research Institute for Carbon NeutralityUniversity of Science and Technology BeijingBeijing 100083China Institute of Steel Sustainable Technology Liaoning Academy of MaterialsShenyang 110004China Department of Materials Science and Engineering Shenzhen MSU-BIT UniversityShenzhen 518172China

Hydrogen is a clean fuel with numerous sources,yet the hydrogen industry is plagued by hydrogen embrittlement(HE)issues during the storage,transportation,and usage of hydrogen *** can compromise material performance during service,leading to significant safety hazards and economic *** the current work,the influence of element Cr on the HE resistance of nanocrystalline Fe-Cr alloys under different hydrogen concentrations and strain rates was *** hybrid Monte Carlo(MC)and molecular dynamics(MD)simulations,it was found that Cr atoms were segregated at grain boundaries(GB)and inhibited the GB ***,Cr segregation improved the strength and plasticity of the nanocrystalline Fe-Cr alloys,especially the HE ***,the Cr segregation reduced the diffusion coefficient of hydrogen and inhibited hydrogen-induced *** work provided new insight into the development of iron-based alloys with high HE resistance in the future.

关键词： Hydrogen embrittlement Molecular dynamics simulations Cr segregation Grain boundary Nanocrystalline materials

Identifying facile material descriptors for Charpy impact toughness in low-alloy steel via machine learning

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Journal of Materials Science & Technology 2023年第1期132卷 213-222页

作者： Yimian Chen Shuize Wang Jie Xiong Guilin Wu junheng gao Yuan Wu Guoqiang Ma Hong-Hui Wu Xinping Mao Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Yangjiang Branch Guangdong Laboratory for Materials Science and Technology(Yangjiang Advanced Alloys Laboratory)YangjiangGuangdong 529500China School of Materials Science and Engineering Harbin Institute of TechnologyShenzhen 518055China

High toughness is highly desired for low-alloy steel in engineering structure applications,wherein Charpy impact toughness(CIT)is a critical factor determining the toughness *** the current work,CIT data of low-alloy steel were collected,and then CIT prediction models based on machine learning(ML)algorithms were *** feature construction strategies were *** is solely based on alloy composition,another is based on alloy composition and heat treatment parameters,and the last one is based on alloy composition,heat treatment parameters,and physical features.A series of ML methods were used to effectively select models and material descriptors from a large number of *** with the strategy solely based on the alloy composition,the strategy based on alloy composition,heat treatment parameters together with physical features perform much ***,a genetic programming(GP)based symbolic regression(SR)approach was developed to establish a physical meaningful formula between the selected features and targeted CIT data.

关键词： Machine learning Symbolic regression Low-alloy steel Charpy impact toughness

Effect of deformation parameters on the austenite dynamic recrystallization behavior of a eutectoid pearlite rail steel

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International Journal of Minerals,Metallurgy and Materials 2024年第5期31卷 833-841页

作者： Haibo Feng Shaohua Li Kexiao Wang junheng gao Shuize Wang Haitao Zhao Zhenyu Han Yong Deng Yuhe Huang Xinping Ma Institute for Carbon Neutrality University of Science and Technology BeijingBeijing 100083China Institute for Steel Sustainable Technology Liaoning Academy of MaterialsShenyang 110004China Pangang Group Panzhihua Iron and Steel Research Institute Co.Ltd. Panzhihua 617000China

Understandings of the effect of hot deformation parameters close to the practical production line on grain refinement are crucial for enhancing both the strength and toughness of future rail *** this work,the austenite dynamic recrystallization(DRX)behaviors of a eutectoid pearlite rail steel were studied using a thermo-mechanical simulator with hot deformation parameters frequently employed in rail production *** single-pass hot deformation results reveal that the prior austenite grain sizes(PAGSs)for samples with different deformation reductions decrease initially with an increase in deformation ***,once the deformation temperature is beyond a certain threshold,the PAGSs start to *** can be attributed to the rise in DRX volume fraction and the increase of DRX grain with deformation temperature,***-pass hot deformation results show that the accumulated strain generated in the first and second deformation passes can increase the extent of *** the case of complete DRX,PAGS is predominantly determined by the deformation temperature of the final *** suggests a strategic approach during industrial production where part of the deformation reduction in low temperature range can be shifted to the medium temperature range to release rolling mill loads.

关键词： eutectoid pearlite rail steel prior austenite grain size dynamic recrystallization single-pass hot deformation three-pass hot deformation

Recent research progress on the phase-field model of microstructural evolution during metal solidification

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International Journal of Minerals,Metallurgy and Materials 2023年第11期30卷 2095-2111页

作者： Kaiyang Wang Shaojie Lv Honghui Wu Guilin Wu Shuize Wang junheng gao Jiaming Zhu Xusheng Yang Xinping Mao Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Carbon NeutralityUniversity of Science and Technology BeijingBeijing 100083China Institute of Steel Sustainable Technology Liaoning Academy of MaterialsShenyang 110004China Institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China School of Civil Engineering Shandong UniversityJinan 250061China Department of Industrial and Systems Engineering The Hong Kong Polytechnic UniversityHong Kong 999077China

Solidification structure is a key aspect for understanding the mechanical performance of metal alloys,wherein composition and casting parameters considerably influence solidification and determine the unique microstructure of the *** following the principle of free energy minimization,the phase-field method eliminates the need for tracking the solid/liquid phase interface and has greatly accelerated the research and development efforts geared toward optimizing metal solidification *** recent progress in the application of phasefield simulation to investigate the effect of alloy composition and casting process parameters on the solidification structure of metals is summarized in this *** effects of several typical elements and process parameters,including carbon,boron,silicon,cooling rate,pulling speed,scanning speed,anisotropy,and gravity,on the solidification structure are *** present work also addresses the future prospects of phase-field simulation and aims to facilitate the widespread applications of phase-field approaches in the simulation of microstructures during solidification.

关键词： solidification process phase-field models microstructure evolution alloy composition casting process parameters

Enhanced nanocrystalline stability of BCC iron via copper segregation

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Progress in Natural Science:Materials International 2023年第2期33卷 185-192页

作者： Feiyang Wang Linshuo Dong Hong-Hui Wu Penghui Bai Shuize Wang Guilin Wu junheng gao Jiaming Zhu Xiaoye Zhou Xinping Mao Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Carbon Neutrality University of Science and Technology Beijing Institute of Materials Intelligent Technology Liaoning Academy of Materials 3. Institute of Steel Sustainable Technology Liaoning Academy of Materials School of Civil Engineering Shandong University Department of Materials Science and Engineering Shenzhen MSU-BIT University

Nanocrystalline alloys are known for their high density of grain boundaries(GBs), which results in low thermal stability and a tendency for coarsening. In this work, we investigated Fe–Cu alloys to explore the effects of Cu concentration on the thermal stability of nanocrystalline samples. Using hybrid molecular dynamics(MD) and Monte Carlo(MC) simulations, annealing treatments of nanocrystalline samples with varied Cu concentrations were conducted. The simulation results revealed that Cu atoms tended to accumulate at GBs. Subsequently, the model with Cu segregation was subjected to mechanical creep loading at various temperatures. Through the analysis of atomic structure evolution during creep deformation, it was found that Cu segregation efficiently stabilizes GBs and restricts their movement. The present findings highlight that the thermal stability of nanocrystalline Fe–Cu alloys can be effectively improved by introducing suitable Cu segregation at GBs.

关键词： Nanocrystalline alloys Molecular dynamics simulations Grain boundary Thermal stability

Martensitic twinning transformation mechanism in a metastable IVB element-based body-centered cubic high-entropy alloy with high strength and high work hardening rate

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Journal of Materials Science & Technology 2022年第29期124卷 217-231页

作者： Yuhe Huang junheng gao Vassili Vorontsov Dikai Guan Russell Goodall David Dye Shuize Wang Qiang Zhu W.Mark Rainforth Iain Todd Department of Materials Science and Engineering University of SheffieldSheffield S13JDUnited Kingdom Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen518055China Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Department of Materials Royal School of MinesImperial College LondonLondon SW72BPUnited Kingdom

Realizing high work hardening and thus elevated strength–ductility synergy are prerequisites for the practical usage of body-centered-cubic high entropy alloys(BCC-HEAs).In this study,we report a novel dynamic strengthening mechanism,martensitic twinning transformation mechanism in a metastable refractory element-based BCC-HEA(TiZrHf)Ta(at.%)that can profoundly enhance the work hardening capability,leading to a large uniform ductility and high strength *** from conventional transformation induced plasticity(TRIP)and twinning induced plasticity(TWIP)strengthening mechanisms,the martensitic twinning transformation strengthening mechanism combines the best characteristics of both TRIP and TWIP strengthening mechanisms,which greatly alleviates the strengthductility trade-off that ubiquitously observed in BCC structural *** characterization,carried out using X-ray diffraction(XRD)and electron back-scatter diffraction(EBSD)shows that,upon straining,α”(orthorhombic)martensite transformation,self-accommodation(SA)α”twinning and mechanicalα”twinning were activated *** electron microscopy(TEM)analyses reveal that continuous twinning activation is inherited from nucleating mechanical{351}type I twins within SA“{351}”typeⅡtwinnedα”variants on{351}twinning plane by twinning transformation through simple shear,thereby accommodating the excessive plastic strain through the twinning shear while concurrently refining the grain ***,consistent high work hardening rates of 2–12.5 GPa were achieved during the entire plastic deformation,leading to a high tensile strength of 1.3 GPa and uniform elongation of 24%.Alloy development guidelines for activating such martensitic twinning transformation strengthening mechanism were proposed,which could be important in developing new BCC-HEAs with optimal mechanical performance.

关键词： Metastable high entropy alloy Work hardening rate Martensitic transformation Self-accommodating martensite Twinning transformation

First-principle study on the segregation and strengthening behavior of solute elements at grain boundary in BCC iron

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Journal of Materials Science & Technology 2024年第22期189卷 247-261页

作者： Feiyang Wang Hong-Hui Wu Xiaoye Zhou Penghui Bai Chunlei Shang Shuize Wang Guilin Wu junheng gao Haitao Zhao Chaolei Zhang Xinping Mao Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Carbon NeutralityUniversity of Science and Technology BeijingBeijing 100083China Institute of Steel Sustainable Technology Liaoning Academy of MaterialsShenyang 110004China Institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China Department of Materials Science and Engineering Shenzhen MSU-BIT UniversityShenzhen 518172China

Grain boundary(GB)significantly influences the mechanical properties of metal structural materials,yet the effect of solutes on GB modification and the underlying atomic mechanisms of solute segregation and strengthening in iron-based alloys remain insufficiently *** address this research gap,we conducted a comprehensive investigation into the segregation and strengthening effect of 33 commonly occurring solutes in iron-based alloys,with a specific focus on the body-centered cubic(BCC)iron5(310)GB,utilizing first-principle *** findings reveal a negative linear correlation between solute segregation energy and atomic radius,highlighting the crucial role of atomic radius and electronic structure in determining GB ***,through analyzing the relationship between strengthening energy and segregation energy,it was found that the elements Ni,Co,Ti,V,Mn,Nb,Cr,Mo,W,and Re are significant enhancers of GB strength upon *** study aims to provide theoretical guidance for selecting optimal doping elements in BCC iron-based alloys.

关键词： Grain boundary Iron-based alloys First-principle calculations Segregation energy Strengthening energy