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Alleviating segregation and enhancing tensile properties of Inconel 718 superalloy by twin-roll casting and two-stage cold rolling

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JOURNAL OF MATERIALS RESEARCH AND technology-JMR&T 2022年 20卷 1216-1225页

作者： Ran, Rong Wang, Yang Zhang, Yuan-xiang Fang, Feng Xia, Yu-kun Zhang, Wei-na Yuan, Guo Wang, Guo-dong Northeastern Univ State Key Lab Rolling & Automation RAL Shenyang 110819 Peoples R China

A novel processing route involving twin-roll casting and two-stage cold rolling was proposed to manufacture Inconel 718 alloy. Due to the sub-rapid solidification rate (412.5 degrees C/s) of as-cast strip, the element segregation can be alleviated and the growth of Laves phase was effectively suppressed. It was also observed that the dissolution of Laves phases during subsequent homogenization was significantly accelerated because of their refined size. The corresponding homogenization time can be shortened from dozens of hours to 1 h. Additionally, the non-uniform microstructure of cold-rolled and annealed samples caused by coarse grains from homogenization treatment can be eliminated by two-stage cold rolling method. Furthermore, a large amount of granular d phases precipitated during intermediate annealing. After double aging treatment, the final products exhibited an excellent combination of strength and elongation. The ultimate tensile strength when deformed at room temperature and at 650 degrees C were about 1475 and 1120 MPa, and the corresponding total elongation were - 15% and - 22%. These results indicated that the twin-roll casting was a promising route to produce Inconel 718 alloy. (c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Twin -roll casting Inconel 718 alloy Cold rolling Microstructure Mechanical properties

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The influence of recrystallization annealing time on high cycle fatigue behavior of high-Mn austenitic steel at 77 K

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JOURNAL OF MANUFACTURING PROCESSES 2023年 96卷 11-20页

作者： Wang, Pengjie Cao, Guangming Mao, Yuqi Ji, Xiang Liu, Zhenyu Northeastern Univ State Key Lab Rolling & Automation POB 10511Lane 3Wenhua Rd Shenyang 110819 Peoples R China

Three high manganese austenitic steels were prepared by different recrystallization annealing time (0, 32, and 128 min) to investigate the effect of recrystallization annealing time on high-cycle fatigue behavior at 77 K. The microstructure was characterized by means of quasi in situ scanning electron microscope (SEM). When fatigue life is about 5.0 x 106 loading cycles, the fatigue strength at 77 K increases from 512 MPa to 625 MPa with the decrease in recrystallization annealing time (RAT). Decrease in RAT leads to grain refinement and the increase in density of dislocation. Grain refinement can delay crack initiation, prevent crack propagation, and hardly hinders the formation of deformation twins. In addition, it is surprising that the grain refinement and the increase in dislocation density promote the formation of nanoscale voids, which leads to stress relaxation and thus improve the fatigue performance.

关键词： Grain boundaries Metals and alloys Mechanical properties Transmission electron microscopy Microstructure

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Electrodeposition of zinc from ethylene carbonate-ZnCl2 electrolyte system

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IONICS 2023年第7期29卷 2947-2958页

作者： Guan, Pingping Li, Haobo Zhang, Xin Shi, Zhongning Liu, Aimin Northeastern Univ Minist Educ Key Lab Ecol Met Multimet Minerals Shenyang 110819 Peoples R China Northeastern Univ State Key Lab Rolling & Automation Shenyang 110819 Peoples R China

Zinc is a commonly used corrosion-resistant coating for steel surface protection. In this study, the ethylene carbonate-zinc chloride (EC-ZnCl2) electrolyte systems are selected for zinc electrodeposition, and their ionic structure and properties were studied. The corrosion resistance of the electrodeposited zinc coatings obtained from 4EC-ZnCl2, 3EC-ZnCl2, and 2EC-ZnCl2 systems was analyzed. Raman spectroscopic analysis shows that these EC-ZnCl2 systems contain [Zn2Cl6](2-) species. The relationship between conductivity, viscosity, and density with the temperature of EC-ZnCl2 systems was provided. Scanning electron microscopy (SEM) and potentiodynamic polarization curve (Tafel) tests showed that when the deposition was carried out at -1.0 V and -1.2 V (vs. Ag/AgCl) for two hours, a uniform zinc coating with good corrosion resistance could be obtained.

关键词： Zinc coating Ethylene carbonate-zinc chloride Electrodeposition Physicochemical properties

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Microstructures and Mechanical Properties of a New Multi-functional 460 MPa Grade Construction Structural Steel

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Acta Metallurgica Sinica(English Letters) 2022年第7期35卷 1131-1142页

作者： Zhenye Chen Zhangguo Lin Jianjun Qi Yang Feng Liqing Chen Guodong Wang State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China User Technology Department Technology Research Institute of HBISShijiazhuang 050000China

This article reports a new generation of Q460 multi-functional construction structural steel,which has high strength(yield strength larger than 460 MPa),excellent toughness(higher than 110 J/cm^(2) at-60 ℃),lower yield ratio(lower than 0.8),good fire resistance(yield strength at 600 ℃ larger than two-thirds of its room-temperature yield strength)and better corrosion *** eff ects of finish cooling temperature(FCT)on the microstructure and properties were studied by scanning electron microscopy(SEM),transmission electron microscopy(TEM),emission electron probe micro-analysis(EPMA),electron backscattering diff raction(EBSD),tensile tester,impact tester,periodic immersion cycle acceleration test and electrochemical *** results show that the strength and toughness are simultaneously improved by decreasing the FCT due to more lath-like bainite with large number of dislocations,refined martensite/austenite(M/A)with higher carbon concentration and increased high angle *** addition,the fire resistance of the newly developed Q460 steel is obviously better than the conventional one,which is mainly due to non-recrystallized lath-like bainite with high dislocation density at elevated *** corrosion resistance of the new Q460 steel is also improved due to the addition of Cu and Cr.

关键词： Construction structural steel Thermo-mechanical controlled processing(TMCP) Finish rolling temperature Microstructure Mechanical properties

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Mechanical properties and thermal deformation behavior of low-cost titanium matrix composites prepared by a structure-optimized Y_(2)O_(3) crucible

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Journal of Iron and Steel Research International 2024年第3期31卷 738-751页

作者： Qian Dang Gang Huang Ye Wang Chi Zhang Guo-huai Liu Zhao-dong Wang The State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819LiaoningChina School of Materials Science and Chemical Engineering Harbin University of Science and TechnologyHarbin 150004HeilongjiangChina School of Materials Science and Engineering Shenyang University of TechnologyShenyang 110870LiaoningChina

A porous yttrium oxide crucible with both thermal shock resistance and erosion resistance was developed by structural *** structure-optimized yttrium oxide crucible was proved to be suitable for melting highly reactive titanium ***-cost(TiB+Y2O_(3))-reinforced titanium matrix composites were prepared by vacuum induction melting using the prepared *** thermal deformation behavior and microstructure evolution of(TiB+Y2O_(3))-reinforced tita-nium matrix composites were investigated at deformation temperatures of 900-1100℃with strain rates of 0.001-1 *** results showed that the prepared yttrium oxide crucible had both thermal shock and erosion resistance,the low-cost titanium matrix composites could be prepared by the developed yttrium oxide crucibles which were homogeneous in composition and highly sensitive to strain rate and deformation temperature,and the peak and theological stresses decreased with increasing deformation temperature or decreasing strain *** addition,the average thermal deformation activation energy of the composites was calculated to be 574.6 kJ/mol by establishing the Arrhenius constitutive equation in consideration of the strain variables,and the fitting goodness between the predicted stress value and the measured value was 97.624%.The calculated analysis of the hot processing map showed that the best stable thermal deformation zone was located in the deformation temperature range of 1000-1100℃and strain rate range of 0.001-0.01 s^(-1),where the peak dissipation coefficient wasη=71%.In this zone,the deformation of the reinforcement and matrix was harmonious,the reinforcement was less likely to fracture,dynamic recrystallization occurred more fully and the alloy exhibited near steady rheological characteristics.

关键词： Yttrium oxide crucible Titanium matrix composite Thermal deformation behavior Constitutive equation Hot processing map Microstructure evolution

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JADFER: Exploring Spatial-Contextual Interaction with Joint Attention Dropping for Facial Expression Recognition

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IEEE Transactions on Affective Computing 2024年第02期16卷 655-668页

作者： Gao, Yu Ren, Weihong Jiang, Weibo Dong, Qian Nie, Wei Wu, Wenhao Liu, Honghai Harbin Institute of Technology State Key Lab of Robotics and Systems School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen518055 China

Facial Expression Recognition (FER) aims to categorize emotional expressions depicted on a human face, and is a challenging task under unconstrained conditions, such as face occlusions and pose variations. Recent methods usually adopt self attention or cross attention to explore global or local relationships among different level features. However, these methods are inclined to focus on the redundant facial regions, causing model overfitting. To address this problem, we propose a new FER model named JADFER, which drops the joint attention in the weight matrix to adaptively enhance facial expression representations. Specifically, our JADFER model consists of three components: Spatial Branch (SB), Contextual Branch (CB), and Spatial-Contextual Interaction (SCI). Firstly, SB runs N paths in parallel, where a Variety loss is designed to guide the paths of SB to focus on different discriminative regions. Meanwhile, CB abstracts the contextual facial representations using self attention with Joint Attention Dropping (JAD). Then, the SCI adopts the spatial features from SB to query the contextual representations from CB through cross attention with JAD, which regulates the attention weights by dropping the similar activations to further enhance the facial embeddings. Experimental results demonstrate that the proposed model outperforms the state-of-the-art methods on several FER benchmarks. © 2010-2012 IEEE.

关键词： Face recognition

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Distributed Position Tracking of Multi-Rollers in Roll-Bending Forming Using Multi-Agent Cooperative Control 10

Distributed Position Tracking of Multi-Rollers in Roll-Bendi...

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10th International Conference on Systems and Informatics, ICSAI 2024

作者： Wang, Dahao Gao, Yali Zhao, Xiaohui Wu, Yali Yang, Bo Yang, Yanxi Jia, Huaiyu Northeastern University State Key Laboratory of Rolling Technology and Continuous Rolling Automation Shenyang110819 China Xi'an Heavy Duty Technology Co. Ltd. Xi'an710018 China School of Automation and Information Engineering Xi'an University of Technology Xi'an710000 China

ISBN: (纸本)9798331510138

In the roll-bending forming process, the manual or open-loop control of the current roll bending machine leads to poor synchronization of rolls, and the cumulative deviation will increase over time. The distributed cooperative control of multiple rollers has become the main trend of the roll-bending process development, and the position tracking strategy of the rollers has gradually become a research hotspot in the roll-bending field. Therefore, this paper proposes a distributed position tracking strategy for multi-rollers in roll bending forming based on multi-agent cooperative control. The dynamic model of the roller is established and the position tracking error system of the roller is defined, and the distributed control method of the roller with multi-agent cooperation is proposed. The backstepping method is used to design the virtual control input and the actual control input, and an observer is designed to estimate the dynamic influence of the unmodeled dynamics. In addition, the stability and boundedness of the tracking error are proved by Lyapunov stability theory. The effectiveness of the strategy is verified by simulation result. This strategy replaces the traditional method of manually adjusting the rollers to coordinately control the relative position of each roller, so as to improve the position control accuracy and make the left and right lower rollers run more smoothly. © 2024 IEEE.

关键词： Open loop control

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Design of multi-section luffing apple pruning equipment and cutting test of the key components

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 109-117页

作者： Siyuan Tong Wenbin Li Yaxiong Wang Lei Zhang Feng Kang School of Technology Beijing Forestry UniversityKey Lab of State Forestry and Grassland Administration for Forestry Equipment and AutomationBeijing 100083China

In order to reduce the labor intensity and improve the efficiency of pruning,this study designed a multi-section luffing apple pruning equipment suitable for apple orchards in hilly and mountainous areas of *** the essay,the structure and working principle of the equipment are expounded,the cutter was analyzed,and the parameters were *** the self-made test bench to simulate the field experiment,this study selected the ratio of cutting speed to feeding speed and feeding speed as the influencing factors and took the cut-off rate,cutting efficiency and cutting power as the objectives to carry out single factor experiment and quadratic regression orthogonal *** test results show that the cutting power increases with the increase of ratio of cutting speed to feeding speed,and the cut-off rate and cutting efficiency first increase and then *** the feeding speed increases,the cutting efficiency and power increase,and the cut-off rate *** the cutoff rate was greater than 80%,the optimal combination of operating parameters was the feeding speed of 0.55 m/s and ratio of cutting speed to feeding speed of *** this combination,the cut-off rate was 84.9%,the cutting efficiency was 13.1,and the cutting power was 175.7 *** error between the predicted target value of the model and the average measured target value was less than 7%,so the test results are *** to the obtained optimal operating parameters,the actual cutting experiment of the pruning equipment in the field was carried out,and the cutting rate was 96.3%,which meet the design *** study can also meet the needs of mechanized pruning of fruit trees with different crown shapes,improve the applicability of pruning equipment,and provide support for the development of mechanized pruning equipment in China.

关键词： apple pruning equipment cutting test optimal parameters regression analysis

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Accelerating ultrashort pulse laser micromachining process comprehensive optimization using a machine learning cycle design strategy integrated with a physical model

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JOURNAL OF INTELLIGENT MANUFACTURING 2024年第1期35卷 449-465页

作者： Zhang, Zhen Yang, Zenan Wang, Chenchong Xu, Wei Northeastern Univ Sch Mat Sci & Engn State Key Lab Rolling & Automation Shenyang 110819 Liaoning Peoples R China Beijing Inst Aeronaut Mat Sci & Technol Adv High Temp Struct Mat Lab Beijing 100095 Peoples R China

The demand for industrial development toward advanced and precision manufacturing has sparked interest in ultrafast laser-based micromachining methods, particularly emerging advanced machining methods, such as laser-induced plasma micromachining (LIPMM). The main challenge in laser micromachining is finding the optimal process in a large process space to achieve a comprehensive improvement in processing efficiency and quality as approaches that rely on trial-and-error are impractical. In this work, we combined data-driven machine learning and physical model into a cycle design strategy, in order to efficient capture the comprehensive optimization process of LIPMM with high material removal rate and high microgroove depth. Based on the small sample dataset and additional physical variables provided by the physical model, the optimal process in the whole process space can be obtained using only four design cycles and dozens of data groups, and the material removal rate and microgroove depth of which are improved comprehensively compared with the original data. The design strategy integrated with physical model presented here could be applied in a wide range of fields, and thus shows the promise of accelerating the development of laser micromachining processes.

关键词： Ultrashort pulse laser micromachining Machine learning Cycle design Comprehensive optimization Physical model

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A generic and extensible model for the martensite start temperature incorporating thermodynamic data mining and deep learning framework

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Journal of Materials Science & technology 2022年第33期128卷 31-43页

作者： Chenchong Wang Kaiyu Zhu Peter Hedström Yong Li Wei Xu State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China Department of Materials Science and Engineering KTH Royal Institute of TechnologyStockholm 10044Sweden

The martensite start temperature is a critical parameter for steels with metastable *** numerous models have been developed to predict the martensite start(Ms)temperature,the complexity of the martensitic transformation greatly limits their performance and *** this work,we apply deep data mining of thermodynamic calculations and deep learning to develop a generic model for *** data mining was used to establish a hierarchical database with three levels of ***,a convolutional neural network model,which can accurately treat the hierarchical data structure,was used to obtain the final *** integrating thermodynamic calculations,traditional machine learning and deep learning modeling,the final predictor model shows excellent generalizability and extensibility,*** performance both within and beyond the composition range of the original *** effects of 15 alloying elements were considered successfully using the proposed *** work suggests that,with the help of deep data mining considering the physical mechanisms,deep learning methods can partially mitigate the challenge with limited data in materials science and provide a means for solving complex problems with small databases.

关键词： Martensite transformation Data mining Deep learning Extensibility Small-sample problem

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