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Machine learning-based performance predictions for steels considering manufacturing process parameters:a review

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Journal of Iron and Steel Research International 2024年第7期31卷 1555-1581页

作者： Wei Fang Jia-xin Huang Tie-xu Peng Yang Long fu-xing yin Tianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology School of Materials Science and EngineeringHebei University of TechnologyTianjin 300132China Institute of New Materials Guangdong Academy of ScienceGuangzhou 510651GuangdongChina

Steels are widely used as structural materials,making them essential for supporting our lives and ***,further improving the comprehensive properties of steel through traditional trial-and-error methods becomes challenging due to the continuous development and numerous processing parameters involved in steel *** address this challenge,the application of machine learning methods becomes crucial in establishing complex relationships between manufacturing processes and steel *** review begins with a general overview of machine learning methods and subsequently introduces various performance predictions in steel *** classification of performance pre-diction was used to assess the current application of machine learning model-assisted *** important issues,such as data source and characteristics,intermediate features,algorithm optimization,key feature analysis,and the role of environmental factors,were summarized and *** insights will be beneficial and enlightening to future research endeavors in this field.

关键词： Steel Manufacturing process Machine learning Performance prediction Algorithm

Microstructure and mechanical properties of weld metal in laser and gas metal arc hybrid welding of 440-MPa-grade high-strength steel

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Journal of Iron and Steel Research International 2021年第7期28卷 853-861页

作者： fu-xing yin Xu-chen Li Cui-xin Chen Lin Zhao Yun Peng Zhi-ling Tian School of Materials Science and Engineering Hebei University of TechnologyTianjin 300130China Tianjin Key Laboratory of Laminating Fabrication and Interface Control Technology for Advanced Materials Hebei University of TechnologyTianjin 300130China Research Institute for Energy Equipment Materials Hebei University of TechnologyTianjin 300130China Central Iron and Steel Research Institute Beijing 100081China

Fiber laser and gas metal arc hybrid welding of 440-MPa-grade high-strength marine steel was carried out at different welding *** influence of welding speed on the micro structure and mechanical properties of weld metal was *** weld-metal microstructure mainly consisted of pre-eutectoid ferrite,side-plate ferrite,acicular ferrite and lath bainite at a low welding *** the increase in welding speed,acicular ferrite and lath bainite were the dominant weld-metal *** samples failed at the base metal during tensile tests,which indicates that there is no soft zone in the hybrid *** welding speed had a significant effect on the impact toughness of the weld *** impact absorbed energy of the weld metal increased from 35 to 105 J with the increase in welding speed from 0.8 to 2.0 m/*** amounts of acicular ferrite and lath bainite were formed in the weld metal at a high welding speed,which resulted in an excellent impact toughness.

关键词： Laser-arc hybrid welding High-strength steel Microstructure Mechanical property

Effect of Ti and rare earth on microsegregation and large-sized precipitates of H13 steel

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Journal of Iron and Steel Research International 2021年第12期28卷 1591-1604页

作者： Fa Ji Rui Xu Yu-long Gao Qing-chao Tian Lu Wang Zhi-xia Xiao fu-xing yin School of Materials Science and Engineering Hebei University of TechnologyTianjin300130China Research Institute for Energy Equipment Materials Hebei University of TechnologyTianjin300130China State Key Laboratory of Advanced Special Steel&Shanghai Key Laboratory of Advanced Ferrometallurgy&School of Materials Science and Engineering Shanghai UniversityShanghai200444China

Large-sized precipitates are fatal to the thermal fatigue of H13 hot work die *** amounts of Ti and/or rare earth(RE)were added in H13 steel during electroslag remelting to improve the element segregation and refine the large-sized *** results show that as Ti content increases from 0.0032 to 0.057 wt.%,the segregation of Cr,Mo and V becomes more severe.V-rich M(C,N)carbides are shorter,and their branches are denser in 3D ***,the number density of V-rich M(C,N)carbides with a size less than 2μm increases and that with other sizes *** addition,Ti-rich MN nitrides with the size greater than 4μm increases significantly at high Ti *** RE content increases from 0.0051 to 0.036 wt.%,the segregation of main alloying elements is first weakened and then *** with that in RE-free H13 steel,V-rich M(C,N)carbides are less developed in 3D observation,and the change in number density is similar to that of Ti-modified *** composite modification of 0.024 wt.%Ti and 0.011 wt.%RE,the segregation of alloying element and V-rich M(C,N)carbides are not significantly improved.

关键词： H13 steel Segregation Primary carbide Ti Rare earth Precipitate

Loss Aware Feature Attention Mechanism for Class and Feature Imbalance Issue

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Computers, Materials & Continua 2025年第1期82卷 751-775页

作者： Yuewei Wu Ruiling fu Tongtong xing fulian yin College of Information and Communication Engineering Communication University of ChinaBeijing100024China State Key Laboratory of Media Convergence and Communication Communication University of ChinaBeijing100024China

In the Internet era,recommendation systems play a crucial role in helping users find relevant information from large *** imbalance is known to severely affect data quality,and therefore reduce the performance of recommendation *** to the imbalance,machine learning algorithms tend to classify inputs into the positive(majority)class every time to achieve high prediction *** can be categorized such as by features and classes,but most studies consider only class *** this paper,we propose a recommendation system that can integrate multiple networks to adapt to a large number of imbalanced features and can deal with highly skewed and imbalanced datasets through a loss *** propose a loss aware feature attention mechanism(LAFAM)to solve the issue of feature *** network incorporates an attention mechanism and uses multiple sub-networks to classify and learn *** better results,the network can learn the weights of sub-networks and assign higher weights to important *** propose suppression loss to address class imbalance,which favors negative loss by penalizing positive loss,and pays more attention to sample points near the decision *** on two large-scale datasets verify that the performance of the proposed system is greatly improved compared to baseline methods.

关键词： Imbalanced data deep learning e-commerce recommendation loss function big data analysis

Effects of electrode configuration on electroslag remelting process of M2 high-speed steel ingot

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China Foundry 2019年第2期16卷 126-134页

作者： fu-xing yin Yu Liang Zhi-xia Xiao Jian-hang Feng Zhi-bin Xie Yong-wang Mi School of Materials Science and Engineering Hebei University of Technology Research Institute for Energy Equipment Materials Hebei University of Technology Tianjin Key Laboratory of Materials Laminating Fabrication and Interfacial Controlling Technology Heye Science and Technology Co. Ltd.

The electrode configuration determines the thermophysical field during the electroslag remelting(ESR) process and affects the final microstructure of the ingot. In this work, ingot with a diameter of 400 mm was prepared with two electrode configuration modes of single power ESR process, namely one electrode(OE) and two series-connected electrodes(TSCE). Finite element simulation was employed to calculate the electromagnetic field, flow field and temperature field of the ESR system. The results show that the temperature of the slag pool and the metal pool of the TSCE process is lower and more uniform than that of the OE *** calculated temperature distribution of the ingot could be indirectly verified from the shape of the metal pool by the experiment. The experimental results show that the depth of the metal pool in the OE ingot is about 160 mm, while the depth of the TSCE ingot is nearly 40 mm shallower than that of the OE ingot. Microstructural comparisons indicate that coarse eutectic carbides are formed in the center of the OE ingot, whereas more even eutectic carbides appear in the center of the TSCE ingot. In general, compared with the OE process, the TSCE process is preferred to remelt high speed steel ingots.

关键词： electroslag remelting metal pool shape electromagnetic field eutectic carbides high speed steel

Effect of melting rate on microsegregation and primary MC carbides in M2 high-speed steel during electroslag remelting

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China Foundry 2021年第3期18卷 163-169页

作者： fu-xing yin Ming Su Fa Ji Qing-chao Tian Ya-guan Bai Jian-hang Feng Zhi-xia Xiao School of Materials Science and Engineering Hebei University of TechnologyTianjin 300130China Tianjin Key Laboratory of Layered Composite Materials Tianjin 300130China State Key Laboratory of Advanced Special Steel Shanghai Key Laboratory of Advanced FerrometallurgySchool of Materials Science and EngineeringShanghai UniversityShanghai 200444China Tianjin Heavy Industries Research and Development Co. Ltd.Tianjin 300457China

Large-size primary MC carbides can significantly reduce the performance of M2 high-speed *** better control the morphology and size of primary MC carbides,the effect of melting rate on microsegregation and primary MC carbides of M2 steel during electroslag remelting was *** the melting rate is decreased from 2 kg·min^(-1) to 0.8 kg·min^(-1),the columnar dendrites are gradually coarsened,and the extent of segregation of Mo and V is alleviated,while the segregation of Cr becomes *** 2 kg·min^(-1),the number of primary MC carbides per unit area with the sizes in the range of 2 μm to 6 μm accounts for about 75% of all MC carbides,while the carbides are mainly concentrated on the size larger than 8 μm at 0.8 kg·min^(-1).Thermodynamic calculations based on the Clyne-Kurz (simplified to C-K) model shows that MC carbide can be precipitated in the final solidification stage and a smaller secondary dendrite arm spacing caused by higher melting rate (2 kg·min^(-1) in this experiment) facilitates the refinement of primary MC carbides.

关键词： high-speed steel MC carbide melting rate electroslag remelting microsegregation

Composition design of high yield strength points in single-phase Co-Cr-Fe-Ni-Mo multi-principal element alloys system based on electronegativity,thermodynamic calculations,and machine learning

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Tungsten 2023年第1期5卷 169-178页

作者： Jiao-Hui Yan Zi-Jing Song Wei Fang Xin-Bo He Ruo-Bin Chang Shao-Wu Huang Jia-Xin Huang Hao-Yang Yu fu-xing yin Research Institute for Energy Equipment Materials School of Materials Science and EngineeringHebei University of TechnologyTianjin 300132China Tianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology Tianjin 300132China Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijing 100083China

A method which combines electronegativity difference,CALculation of PHAse Diagrams(CALPHAD) and machine learning has been proposed to efficiently screen the high yield strength regions in Co-Cr-Fe-Ni-Mo multi-component phase ***,the single-phase region at a certain annealing temperature is obtained by combining CALPHAD method and machine learning,to avoid the formation of brittle *** high yield strength points in the single-phase region are selected by electronegativity *** yield strength and plastic deformation behavior of the designed Co_(14)Cr_(30)Ni_(50)Mo_(6)alloy are measured to evaluate the proposed *** validation experiments indicate this method is effective to predict high yield strength points in the whole compositional ***,the interactions between the high density of shear bands and dislocations contribute to the high ductility and good work hardening ability of Co_(14)Cr_(30)Ni_(50)Mo_(6)*** method is helpful and instructive to property-oriented compositional design for multi-principal element alloys.

关键词： High entropy alloys Multi-principal element alloys Yield strength Electronegativity difference CALculation of PHAse Diagrams Machine learning

Recent Progress and Development in Extrusion of Rare Earth Free Mg Alloys: A Review

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Acta Metallurgica Sinica(English Letters) 2019年第2期32卷 145-168页

作者： Shuai-Ju Meng Hui Yu Shao-Da Fan Qi-Zhi Li Sung Hyuk Park Joung Sik Suh Young Min Kim Xiao-Long Nan Ming-Zhe Bian fu-xing yin Wei-Min Zhao Bong Sun You Kwang Seon Shin School of Materials Science and Engineering Hebei University of Technology School of Materials Science and Engineering Kyungpook National University Materials Implementation Department Korea Institute of Materials Science National Key Laboratory of Shock Wave and Detonation Physics Institute of Fluid Physics China Academy of Engineering Physics School of Materials Science and Engineering Anhui University of Technology Magnesium Technology Innovation Center School of Materials Science and Engineering Seoul National University

Mg and its alloys are the lightest structural metals available and are extremely attractive for applications as lightweight components, particularly in the automobile, electronic, and aerospace industries. The global market for wrought Mg alloys has steadily expanded over the past decade. And numerous studies have been carried out to meet this increasing demand of high-performance Mg alloys. However, Mg extrusion alloys have had a very limited usage so far. To overcome existing industrial challenges, one desirable approach is the development of low-cost rare earth(RE) free Mg extrusion alloys with superior mechanical properties. This review will introduce the recent research highlights in the extrusion of Mg alloys, specifi cally focusing on low-cost RE-free Mg alloy. The results from both the literature and our previous study are summarized and critically reviewed. Several aspects of RE-free Mg extrusion alloys are described in detail:(1) novel alloying designs including Mg–Al-, Mg–Zn-, Mg–Ca-, Mg–Sn-, and Mg–Bi-based alloys,(2) advanced extrusion techniques, and(3) extrusion-related severe plastic deformation(SPD) processing. Accordingly, considering the large gap in mechanical properties between the current RE-free Mg alloys and high-performance aluminum alloys, new alloy design, processing route control, and recommendations for future research on RE-free Mg extrusion alloys are also proposed. We hope this review will not only off er insightful information regarding the extrusion of RE-free Mg alloys but also inspire the development of new Mg extrusion technologies.

关键词： Mg alloy Extrusion Rare earth free Novel processing Mechanical properties

Advancements and Challenges in Organic–Inorganic Composite Solid Electrolytes for All‑Solid‑State Lithium Batteries

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Nano-Micro Letters 2025年第1期17卷 46-97页

作者： Xueyan Zhang Shichao Cheng Chuankai fu Geping yin Liguang Wang Yongmin Wu Hua Huo State Key Laboratory of Space Power‑Sources School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001People’s Republic of China College of Chemical and Biological Engineering Zhejiang UniversityHangzhou 310058People’s Republic of China State Key Laboratory of Space Power-Sources 2965 Dongchuan RoadMinhang DistrictShanghai 200240People’s Republic of China

To address the limitations of contemporary lithium-ion batteries,particularly their low energy density and safety concerns,all-solid-state lithium batteries equipped with solid-state electrolytes have been identified as an up-and-coming *** the various SEs,organic–inorganic composite solid electrolytes(OICSEs)that combine the advantages of both polymer and inorganic materials demonstrate promising potential for large-scale ***,OICSEs still face many challenges in practical applications,such as low ionic conductivity and poor interfacial stability,which severely limit their *** review provides a comprehensive overview of recent research advancements in ***,the influence of inorganic fillers on the main functional parameters of OICSEs,including ionic conductivity,Li+transfer number,mechanical strength,electrochemical stability,electronic conductivity,and thermal stability are systematically *** lithium-ion conduction mechanism of OICSE is thoroughly analyzed and concluded from the microscopic ***,the classic inorganic filler types,including both inert and active fillers,are categorized with special emphasis on the relationship between inorganic filler structure design and the electrochemical performance of ***,the advanced characterization techniques relevant to OICSEs are summarized,and the challenges and perspectives on the future development of OICSEs are also highlighted for constructing superior ASSLBs.

关键词： Composite solid electrolytes Inorganic filler Interfacial stability Li-ion conduction mechanism Characterization techniques