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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

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超大跨桥梁用长寿命缆索材料和技术的需求、发展与创新

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现代交通与冶金材料 2024年第5期4卷 3-8,16页

作者：赵军毛新平法尔胜泓昇集团有限公司北京科技大学

自20世纪90年代以来,中国在跨江跨海大桥、跨峡谷桥梁建设方面持续取得重大突破,桥梁跨径不断提升,斜拉桥跨径突破1200 m,悬索桥跨径突破2300 m,目前正从“桥梁大国”向“桥梁强国”转型发展,其中缆索材料技术进步发挥了重要作用。本文... 详细信息

自20世纪90年代以来,中国在跨江跨海大桥、跨峡谷桥梁建设方面持续取得重大突破,桥梁跨径不断提升,斜拉桥跨径突破1200 m,悬索桥跨径突破2300 m,目前正从“桥梁大国”向“桥梁强国”转型发展,其中缆索材料技术进步发挥了重要作用。本文分析了桥梁技术发展尤其是跨径提升和长寿命对桥梁缆索材料的要求,明确了缆索材料与技术的发展需求。综述了国内外桥梁缆索用盘条、钢丝及锚固体系,缆索系统的损伤失效机理、性能评估与保障、标准体系、制造与架设技术等最近进展。从高性能钢丝和锚固体系研发、严酷环境下缆索损伤与失效机理、性能评估与长效保障技术、缆索系统制造和架设技术等方面对桥梁缆索材料和技术提出了创新方向和技术路线,进行创新性研究,为超大跨索承桥梁用缆索的研发和应用提供参考。

关键词：缆索承重桥梁缆索超大跨高性能长寿命

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减氮对引黄灌区春玉米氮素吸收利用和淋失的影响

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农业资源与环境学报 2024年第3期41卷 576-584页

作者：王英刘汝亮王芳洪瑜冒辛平马建森宁夏农林科学院农业资源与环境研究所银川750002 国家农业环境银川观测实验站银川750002 宁夏大学农学院银川750002

为探究不同减氮水平下春玉米产量及氮素吸收利用和氮素淋失损失特征,为宁夏引黄灌区春玉米氮肥合理施用提供理论依据,本研究于2021—2022年在宁夏引黄灌区基于渗漏池进行了连续两年的田间定位试验,以先玉1225为供试玉米品种,设置了5个... 详细信息

为探究不同减氮水平下春玉米产量及氮素吸收利用和氮素淋失损失特征,为宁夏引黄灌区春玉米氮肥合理施用提供理论依据,本研究于2021—2022年在宁夏引黄灌区基于渗漏池进行了连续两年的田间定位试验,以先玉1225为供试玉米品种,设置了5个氮水平,施氮量分别为常规施氮420 kg·hm^(-2)(N-420)、减氮14.29%(N-360)、减氮35.71%(N-270)、减氮57.14%(N-180)、不施氮处理(CK),对春玉米产量、氮素吸收利用和氮素淋失损失量进行测定分析。两年数据均表明,农户常规施肥与减氮14.29%处理籽粒产量没有显著差异(P<0.05),减氮35.71%处理较常规施肥处理产量降低。2021年减氮35.71%、减氮14.29%处理较常规施肥处理籽粒产量分别降低了8.60%和3.59%,2022年减氮35.71%处理籽粒产量较常规施肥处理降低11.46%,而减氮14.29%处理与常规施肥处理相比籽粒产量增加1.42%。氮肥表观利用率、氮肥农学效率、地上部氮素收获指数两年数据均显示减氮35.71%处理高于减氮14.29%处理和常规施肥处理。氮肥偏生产力随着施氮量的增加逐渐降低,与减氮57.14%处理相比,减氮35.71%、减氮14.29%和常规施肥处理分别降低19.57%、33.81%、42.59%。总氮淋失量随施氮量的增加而升高,减氮35.71%、减氮14.29%处理总氮淋失损失量较常规施氮处理降低42.51%和18.09%。各处理氮素淋失中,硝态氮是主要形式,占总氮的45.50%~54.68%。相关性分析表明,施氮量与总氮淋失量呈正相关,随着施氮量的增加,总氮淋失量呈指数型增加(R2=0.9986)。研究表明,与常规施氮量相比,减少35.71%施氮量下,春玉米产量平均减少10.03%,总氮淋失量平均降低42.51%,氮肥表观利用率、农学效率和偏生产力均提高。综合考虑认为,施氮270 kg·hm^(-2)可作为协调引黄灌区春玉米产量和环境安全的合理选择。

关键词：春玉米引黄灌区减氮产量氮素淋失

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Precipitation characteristic of high strength steels microalloyed with titanium produced by compact strip production

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Journal of University of Science and Technology Beijing 2008年第4期15卷 389-395页

作者： Jian Zhou Yonglin Kang xinping mao School of Materials Science and Engineering University of Science and Technology Beijing Beijing 100083 China CSP Institute for Technology Guangzhou Iron ＆ Steel Enterprises Group Guangzhou 510730 China

Transmission electron microscopy （TEM） and physics-chemical phase analysis were employed to investigate the precipitates in high strength steels microalloyed with Ti produced by compact strip production （CSP）. It was seen that precipitates in Ti microalloyed steels mainly included TiN, Ti4C2S2, and TiC. The size of TiN particles varied from 50 to 500 nm, and they could precipitate during or before soaking. The Ti4C2S2 with the size of 40-100 nm might precipitate before rolling, and the TiC particles with the size of 5-50 nm precipitated heterogeneously. High Ti content would lead to the presence of bigger TiC particles that precipitated in austenite, and by contrast, TiC particles that precipitated in ferrite and the transformation of austenite to ferrite was smaller. They were less than 30 nm and mainly responsible for precipitate strengthening. It should be noted that the TiC particles in higher Ti content were generally smaller than those in the steel with a lower Ti content.

关键词： compact strip production (CSP) precipitation Ti microalloyed steels nanometer particle

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Titanium microalloying of steel:A review of its effects on processing,microstructure and mechanical properties

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International Journal of Minerals,Metallurgy and Materials 2022年第4期29卷 645-661页

作者： Shuize Wang Zhijun Gao Guilin Wu xinping mao Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Guangdong Laboratory for Materials Science and Technology Yangjiang Branch(Yangjiang Advanced Alloys Laboratory)Yangjiang 529500China

Carbon neutrality of the steel industry requires the development of high-strength *** mechanical properties of low-alloy steel can be considerably improved at a low cost by adding a small amount of titanium(Ti)element,namely Ti microalloying,whose performance is related to Ti-contained second phase particles including inclusions and *** proper controlling the precipitation behaviors of these particles during different stages of steel manufacture,fine-grained microstructure and strong precipitation strengthening effects can be obtained in low-alloy ***,Ti microalloying can be widely applied to produce high strength steel,which can replace low strength steels heavily used in various areas *** article reviews the characteristics of the chemical and physical metallurgies of Ti microalloying and the effects of Ti microalloying on the phase formation,microstructural evolution,precipitation behavior of low-carbon steel during the steel making process,especially the thin slab casting and continuous rolling process and the mechanical properties of final steel *** development of Ti microalloying is also proposed to further promote the application of Ti microalloying technology in steel to meet the requirement of low-carbon economy.

关键词： titanium microalloying precipitation grain refinement phase transformation high-strength steel

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Effect of warm rolling process on microstructures and tensile properties of 10 Mn steel

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Journal of Materials Science & Technology 2020年第12期47卷 131-141页

作者： Bin Hu Xin Tu Haiwen Luo xinping mao School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China

The influence of warm rolling processes on the microstructures and tensile properties of 100 Mn steel was *** appeared to increase with the rolling temperature but strengthening mechanisms *** increase of warm rolling temperature from 250℃ to 600℃ leads to enhanced recrystallization in martensite during the intercritical annealing(IA) at 620℃ for 5 *** a result,both ultimate tensile strength(UTS) and total elongation(TE) ***,the size of relatively coarse recrystallized austenite grains and the resultant yield strength(YS) remain almost constant in this temperature *** further increase of rolling temperature to 700-800℃ causes a considerable amount of pearlite to be formed during the IA,and then martensite is formed after the IA,resulting in dramatical increases in both YS and UTS but at the great loss of *** warm rolling at 600℃ with 63% thickness reduction can produce the steel with the best mechanical combination of 1.2 GPa UTS and 35% TE,due to the formation of many ultrafine austenite grains and strain-induced cementite *** demonstrates that the mechanical combination of non-V-alloyed medium Mn steel can be improved to an equivalent level of 0.7% V alloyed 10 Mn steel just via the economic strain-induced cementite precipitation.

关键词： Warm rolling Cementite precipitation Austenite stability Mechanical properties

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机器学习在金属材料服役性能预测中的应用

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工程科学学报 2024年第1期46卷 120-136页

作者：李丰范匡健隆季佳浩商春磊吴宏辉汪水泽毛新平北京科技大学材料科学与工程学院北京100083 北京科技大学碳中和创新研究院北京材料基因工程高精尖创新中心北京100083

在材料基因工程的背景下,数据驱动的机器学习技术推动着材料研究进入了新的范式.机器学习能够充分利用已有的实验数据,在不明晰机制原理的情况下实现对材料服役性能的准确预测,极大地减少了实验所需的时间与成本.本文以机器学习预测金... 详细信息

在材料基因工程的背景下,数据驱动的机器学习技术推动着材料研究进入了新的范式.机器学习能够充分利用已有的实验数据,在不明晰机制原理的情况下实现对材料服役性能的准确预测,极大地减少了实验所需的时间与成本.本文以机器学习预测金属材料的典型服役性能为主题,总结并分析了四种预测金属材料服役性能的常用机器学习模型.以疲劳、蠕变、腐蚀这三种常见的服役性能为代表,介绍了机器学习在这三个性能方面的研究情况,并列举了几个具体的案例进行简要分析.最后,总结了机器学习预测金属材料服役性能的特点,分析了当下机器学习预测金属材料服役性能存在的一些科学问题,并对其发展前景进行了讨论和展望.

关键词：机器学习数据驱动服役性能材料数据

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Effects of Ti addition on low carbon hot strips produced by CSP process

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Journal of University of Science and Technology Beijing 2006年第3期13卷 230-234页

作者： Mingzhuo Bai Delu Liu Yanzhi Lou xinping mao Liejun Li Xiangdong Huo Department of Materials Physics and Chemistry University of Science and Technology Beijing Beijing 100083 China Guangzhou Zhujiang Iron and Steel Co. Ltd. Guangzhou 510620 China

Large quantity of fine Ti（C,N） particles, 15-30 nm in size, were observed in low carbon hot strips added to a small amount of Ti and produced by CSP process. The results showed that the precipitation of Ti（C,N） mostly took place during soaking and hot rolling, which is significantly different from that in the conventional production. These fine Ti carbonitride particles could be very effective on the austenite grain refinement by hindering grain growth of recrystallized austenite. Their precipitation behavior was discussed and compared with that of the steels produced in the conventional production.

关键词： compact strip production (CSP) thin slab direct rolling Ti(C,N) precipitation austenite recrystallization grain refinement

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Distribution behavior of inclusions in compact-strip-produced martensitic steel and its influence on mechanical properties

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Journal of Materials Science & Technology 2023年第11期142卷 98-111页

作者： Jing Wang Peng Xue Laiqi Zhang Li You Xiaodong Zhu Shuize Wang Yong Zhong xinping mao State Key Laboratory for Advanced Metals and Materials University of Science and Technology BeijingBeijing 100083China Shanghai Key Laboratory of Materials Laser Processing and Modification School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China Research Institute Baoshan Iron&Steel Co.LtdShanghai 201999China Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China

The distribution behavior of inclusions in martensitic steel produced by compact strip production process(CSP-MS)and its influence on mechanical properties were systematically *** inclusions in the CSP-MS specimen are mainly composed of spherical Al_(2)O_(3)-CaO-CaS,MnS with high aspect ratio and small-sized TiN,whereas many coarse cuboidal TiN inclusions do exist in conventional martensitic steel(Con-MS).The high inclusion density of the CSP-MS specimen resulted in lower total elongation and impact toughness,and the MnS inclusions with high aspect ratio led to significantly stronger mechanical anisotropy than that for Con-MS *** in-situ tensile results indicated that when the fracture direction is parallel to MnS direction,the microcracks induced by MnS inclusions tend to propagate into the matrix,leading to the formation of valley-like features,which significantly deteriorate the properties such as the total elongation and impact *** microcracks caused by TiN inclusions are sharper than those caused by spherical Al_(2)O_(3)-CaO-CaS inclusions,and are easy to propagate into the *** work is expected to guide the optimization of the mechanical properties of martensitic steels produced by CSP process and provide a theoretical basis for the CSP process design.

关键词： Martensitic steel Compact strip production Inclusion distribution behavior Mechanical properties In-situ tensile test

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A hybrid machine learning model for predicting continuous cooling transformation diagrams in welding heat-affected zone of low alloy steels

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Journal of Materials Science & Technology 2022年第12期107卷 207-215页

作者： Xiaoxiao Geng xinping mao Hong-Hui Wu Shuize Wang Weihua Xue Guanzhen Zhang Asad Ullah Hao Wang Beijing Advanced Innovation Center for Materials Genome Engineering Collaborative Innovation Center of Steel TechnologyUniversity of Science and Technology BeijingBeijing 100083China School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China School of Materials Science and Engineering Liaoning Technical UniversityFuxin 123000China Metals and Chemistry Research Institute China Academy of Railway SciencesBeijing 100081China Department of Mathematical Sciences Karakoram International UniversityGilgit-Baltistan15100Pakistan

Continuous cooling transformation diagrams in synthetic weld heat-affected zone(SH-CCT diagrams)show the phase transition temperature and hardness at different cooling rates,which is an important basis for formulating the welding process or predicting the performance of welding heat-affected ***,the experimental determination of SH-CCT diagrams is a time-consuming and costly process,which does not conform to the development trend of new *** addition,the prediction of SHCCT diagrams using metallurgical models remains a challenge due to the complexity of alloying elements and welding ***,in this study,a hybrid machine learning model consisting of multilayer perceptron classifier,k-Nearest Neighbors and random forest is established to predict the phase transformation temperature and hardness of low alloy steel using chemical composition and cooling *** the SH-CCT diagrams of 6 kinds of steels are calculated by the hybrid machine learning *** results show that the accuracy of the classification model is up to 100%,the predicted values of the regression models are in good agreement with the experimental results,with high correlation coefficient and low error ***,the mathematical expressions of hardness in welding heat-affected zone of low alloy steel are calculated by symbolic regression,which can quantitatively express the relationship between alloy composition,cooling time and *** study demonstrates the great potential of the material informatics in the field of welding technology.

关键词： Continuous cooling transformation Heat-affected zone Machine learning Symbolic regression

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