Article(id=1268934125898597315, tenantId=1146029695717560320, journalId=1268266715432370238, issueId=1268980803322155008, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1006-4613.2026.02.001, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=2, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=1772208000000, revisedDateStr=2026-02-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1780467071270, onlineDateStr=2026-06-03, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=null, onlineIssueDateStr=null, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=1780467071270, onlineFirstDateStr=2026-06-03, sourceXml=null, magXml=null, createTime=1780467071270, creator=13701087609, updateTime=1780467071270, updator=13701087609, issue=Issue{id=1268980803322155008, tenantId=1146029695717560320, journalId=1268266715432370238, year='2026', volume='', issue='2', pageStart='1', pageEnd='72', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=null, articleOrder=1, issueType=1, specialIssue=null, createTime=1780478200020, creator=13701087609, updateTime=1780478456774, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1268981880268427353, tenantId=1146029695717560320, journalId=1268266715432370238, issueId=1268980803322155008, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1268981880268427354, tenantId=1146029695717560320, journalId=1268266715432370238, issueId=1268980803322155008, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1, endPage=12, ext={EN=ArticleExt(id=1268934126183809990, articleId=1268934125898597315, tenantId=1146029695717560320, journalId=1268266715432370238, language=EN, title=Research Progress of Microsegregation and Precipitation Behavior of Fe-C-Mn-Al Medium Manganese Steel, columnId=1268934126095729605, journalTitle=Angang Technology, columnName=Expert Tribune, runingTitle=null, highlight=null, articleAbstract=
As the most promising thirdgeneration advanced highstrength automotive steels, medium manganese steel features advantages of low cost and high strengthductility synergy. At present, the addition of Al in Fe-C-Mn-Al medium manganese steel achieves lightweighting, optimizes the microstructure, and improves the strengthductility product. Existing microsegregation models have certain limitations when applied to Fe-C-Mn-Al medium manganese steel. The Lever-rule and Scheil models are both idealized models, whereas the Brody-Flemings, Clyne-Kurz, Ohnaka and Voller-Beckermann models incorporate solidphase backdiffusion and can describe the actual solidification process more accurately, among which the Clyne-Kurz model is the most widely used. However, in conventional microsegregation models, the equilibrium partition coefficient, which is usually treated as a constant, actually varies with temperature (or solid fraction) during real solidification, and the influence of inclusion precipitation should also be considered. By integrating the Clyne-Kurz model, a modified microsegregation model was proposed that considers the temperature dependent equilibrium partition coefficient and the effect of inclusion precipitation on solute concentration. The solute microsegregation and inclusion precipitation behavior in Fe-0.15C-5Mn-(0.018, 0.95, 1.93, 2.97) Al medium manganese steel were systematically revealed. The results show that, taking the M193 steel as an example, the maximum equilibrium partition coefficient of Al is exceeds the minimum value by 7.4% during solidification, while that of N reachesas high as 40.6%. Without considering AlN precipitation, the N concentration increases monotonically with solid fraction during solidification; when AlN precipitation is included, it first rises and then falls. As the Al content increases from 0.95% to 2.97%, the amount of AlN precipitated at the solidification end increase from 0.003 7% to 0.010 0%. The above conclusions are theoretically significant for controlling the solidification microstructure and inclusions of Fe-C-Mn-Al medium manganese steel.
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中锰钢作为最具潜力的第三代先进高强汽车用钢,具有低成本、高强塑性优点。目前,Fe-C-Mn-Al系中锰钢通过加入Al元素来实现轻量化,并优化组织及提高强塑积。现有用于Fe-C-Mn-Al中锰钢的微观偏析模型有一定局限性,Lever-rule模型和Scheil模型均为理想化模型,而Brody-Flemings、Clyne-Kurz、Ohnaka及Voller-Beckermann模型考虑了固相反扩散,虽然均能准确地描述实际凝固过程(Clyne-Kurz模型应用更广泛),但在实际凝固过程中通常被视为常数的平衡分配系数是随温度(或固相率)变化的,且应考虑夹杂物析出对偏析的影响。结合Clyne-Kurz模型提出了考虑平衡分配系数随温度变化及夹杂物析出对溶质浓度影响的微观偏析模型,并揭示了Fe-0.15C-5Mn-(0.018,0.95,1.93,2.97)Al中锰钢溶质微观偏析及夹杂物析出行为规律。研究结果表明,以M193钢为例,凝固过程中,Al的最大平衡分配系数比最小平衡分配系数大7.4%,而N则高达40.6%;若不考虑AlN析出,凝固过程N浓度随固相率单调增加;若考虑AlN析出,N浓度呈先增大后减小趋势。当Al含量从0.95%增至2.97%时,凝固终点的AlN析出量由0.003 7%增至0.010 0%。上述结论对Fe-C-Mn-Al系中锰钢的凝固组织与夹杂物控制具有理论指导意义。
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郑淑国,博士,教授,博士生导师,主要从事洁净钢理论与工艺、冶炼-连铸过程数理模拟、金属凝固与组织演变方向的研究。E-mail: zhengsg@smm.neu.edu.cn
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郑淑国,博士,教授,博士生导师,主要从事洁净钢理论与工艺、冶炼-连铸过程数理模拟、金属凝固与组织演变方向的研究。E-mail: zhengsg@smm.neu.edu.cn
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