基于成分均匀化的层状铸造方法的实验与模拟研究

  • 李军 ,
  • 王军格 ,
  • 任凤丽 ,
  • 葛鸿浩 ,
  • 胡侨丹 ,
  • 夏明许 ,
  • 李建国
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  • 1 上海交通大学材料科学与工程学院 上海 200240
    2 上海交通大学高新船舶与深海开发装备协同创新中心 上海 200240

作者简介 李 军,男,1984年生,博士

收稿日期: 2017-06-09

  网络出版日期: 2017-10-23

基金资助

国家重点研发计划项目No.2017YFB0305300,国家自然科学基金钢铁联合基金重点项目No.U1660203,国家自然科学基金项目No.51404152和上海市浦江人才支持计划项目No.14PJ1404800

Experimental and Numerical Simulation Study on Layer Casting Method for Composition Homogeneityon Ingot Casting

  • Jun LI ,
  • Junge WANG ,
  • Fengli REN ,
  • Honghao GE ,
  • Qiaodan HU ,
  • Mingxu XIA ,
  • Jianguo LI
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  • 1 School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2 Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai Jiao Tong University, Shanghai 200240, China

Received date: 2017-06-09

  Online published: 2017-10-23

Supported by

Supported by National Key Research and Development Program of China (No.2017YFB0305300), Joint Funds of the National Natural Science Foundation of China (No.U1660203), National Natural Science Foundation of China (No.51404152) and Shanghai Pujiang Program (No.14PJ1404800)

摘要

提出了一种可降低铸锭宏观偏析的铸造工艺:层状铸造(layer casting,LC)。将铸锭分为数个甚至数十个浇包逐次间隔浇注,使每包次浇入的金属液依次、逐层凝固,从而达到降低铸锭中宏观偏析的目的。采用实验与数值模拟相结合的手段验证该工艺的可行性和适用性。分别采用传统铸造工艺和层状铸造工艺制备Al-4.0%Cu (质量分数)小铸锭,采用直读光谱仪测量铸锭中心截面处Cu含量并绘制出对应的宏观偏析图。实验结果表明:采用传统铸造工艺制备的铸锭出现明显的宏观偏析,包括铸锭底部严重的负偏析和顶部正偏析;而采用层状铸造工艺制备的铸锭没有出现大范围严重的宏观偏析,铸锭中心线上最小负偏析和最大正偏析分别降低了24.6%和77.2%,说明层状铸造工艺可一定程度改善铸锭宏观偏析。同时,采用柱状晶-等轴晶混合三相凝固模型对100和13 t钢锭的传统铸造工艺以及层状铸造工艺的宏观偏析的形成进行数值模拟预测。模拟结果表明:采用层状铸造工艺可有效改善大型钢锭中的宏观偏析,并且随着钢锭尺寸的增大,该工艺对宏观偏析的改善效果愈加明显。并对层状铸造工艺抑制宏观偏析的作用机理进行了分析。

本文引用格式

李军 , 王军格 , 任凤丽 , 葛鸿浩 , 胡侨丹 , 夏明许 , 李建国 . 基于成分均匀化的层状铸造方法的实验与模拟研究[J]. 金属学报, 2018 , 54(1) : 118 -128 . DOI: 10.11900/0412.1961.2017.00225

Abstract

Macrosegregation, or compositional heterogeneity, is a very common and serious defect in large steel ingots, which is hard to remove in the following processing procedures. It not only decides the final properties of the product, but also restricts downstream hot working processing severely. This compositional heterogeneity occurs due to the relative motion between the liquid and solid phases during solidification. Therefore, it is necessary to develop an effective method to manufacture large ingots with less macrosegregation. In this work, a novel casting method was proposed to alleviate macrosegregation of large ingots, i.e., layer casting (LC). With this method, alloy melt will be poured into the mould step by step, so that the melt could be solidified layer by layer and the macrosegregation will be alleviated. Both experimental and numerical studies were carried out to verify the feasibility and effectiveness of LC method. Two small Al-4.0%Cu (mass fraction) ingots were cast using two casting methods, conventional casting method, in which melt was cast into mould in one stage, and LC method, in which melt was cast into mould in several stages. Each ingot was sectioned into two parts along the center line, and then the specimens were measured by optical emission spectrometry to obtain the compositional distribution of Cu. Both severe bottom negative segregation and top positive segregation zones were observed in the ingot fabricated by conventional casting method. More homogeneity of compositional distribution was observed in the ingot fabricated by LC method, and the max negative and positive macrosegregation along the center line decreased by 24.6% and 77.2%, respectively. At the same time, a mixed three-phase (equiaxed, columnar and liquid) solidification model was employed to study the solidification processing in large ingots. The macrosegregation formation processes of 100 t and 13 t steel ingots fabricated by both conventional casting and LC methods were numerically simulated. The simulation results indicated that LC method had the capability of alleviating macrosegregation of large steel ingots significantly, compared with conventional casting method. With the increment of ingot size and amount of ladles, LC method had more significant effect on the alleviation of macrosegregation in large ingots. The mechanism of macrosegregation alleviation of LC method was analyzed.

参考文献

[1] Pickering E J.Macrosegregation in steel ingots: The applicability of modelling and characterisation techniques[J]. ISIJ Int., 2013, 53: 935
[2] Du Q, Li D Z, Li Y Y.Quantitative prediction of macrosegregation formation caused by natural convection during solidification of steel casting[J]. Acta Metall. Sin., 2000, 36: 1197(杜强, 李殿中, 李依依. 铸钢件凝固过程中自然对流引起的宏观偏析模拟[J]. 金属学报, 2000, 36: 1197)
[3] Han Z Q, Liu B C.Numerical simulation on channel segregation in vertically unidirectional solidification process[J]. Acta Metall. Sin., 2003, 39: 140(韩志强, 柳百成. 垂直定向凝固条件下通道偏析形成过程的数值模拟[J]. 金属学报, 2003, 39: 140)
[4] Cao H F, Shen H F, Liu B C.Numerical simulation of segregation in channel during horizontal solidification[J]. Acta Metall. Sin., 2005, 41: 917(曹海峰, 沈厚发, 柳百成. 侧向凝固通道偏析的数值模拟[J]. 金属学报, 2005, 41: 917)
[5] Wang T M, Yao S, Zhang X G, et al.Modelling of the thermosolutal convection, shrinkage flow and grain movement during globular equiaxed solidification in a multi-phase system I. Three-phase flow model[J]. Acta Metall. Sin., 2006, 42: 584(王同敏, 姚山, 张兴国等. 等轴球晶凝固多相体系内热溶质对流、补缩流及晶粒运动的数值模拟I. 三相流模型[J]. 金属学报, 2006, 42: 584)
[6] Pickering E J, Chesman C, Al-Bermani S, et al.A comprehensive case study of macrosegregation in a steel ingot[J]. Metall. Mater. Trans., 2015, 46B: 1860
[7] Hebditch D J, Hunt J D.Observations of ingot macrosegregation on model systems[J]. Metall. Trans., 1974, 5: 1557
[8] Maidorn C, Blind D.Solidification and segregation in heavy forging ingots[J]. Nucl. Eng. Des., 1985, 84: 285
[9] Li D Z, Chen X Q, Fu P X, et al.Inclusion flotation-driven channel segregation in solidifying steels[J]. Nat. Commun., 2014, 5: 5572
[10] Wang J Q.Prediction of the centerline shrinkage porosity and optimized design for the hundred-ton heavy ingots [D]. Shenyang: Institute of Metal Research, Chinese Academy of Sciences, 2012(王佳琪. 百吨级钢锭缩孔疏松预测与工艺优化 [D]. 沈阳: 中国科学院金属研究所, 2012)
[11] Ma X P, Li D Z.Macrosegregation and its formation mechanism in steel ingot with designed local thermal control[J]. ISIJ Int., 2014, 54: 356
[12] Beckermann C.Modelling of macrosegregation: Applications and future needs[J]. Int. Mater. Rev., 2002, 47: 243
[13] Reddy A V, Beckermann C.Modeling of macrosegregation due to thermosolutal convection and contraction-driven flow in direct chill continuous casting of an Al-Cu round ingot[J]. Metall. Mater. Trans., 1997, 28B: 479
[14] El-Bealy M, Fredriksson H.Modeling of the peritectic reaction and macro-segregation in casting of low carbon steel[J]. Metall. Mater. Trans., 1996, 27B: 999
[15] Li W S, Shen H F, Liu B C.Numerical simulation of macrosegregation in steel ingots using a two-phase model[J]. Int. J. Miner. Metall. Mater., 2012, 19: 787
[16] Jia B F.The numerical simulation of solidification process of polygonal ingot by water-cooled mold casting [D]. Hohhot: Inner Mongolia University of Technology, 2014(贾保峰. 水冷模模铸多边形钢锭凝固数值模拟 [D]. 呼和浩特: 内蒙古工业大学, 2014)
[17] Dantzig J A, Rappaz M.Solidification [M]. Lausanne, Switzerland: EPFL Press, 2009: 568
[18] Li X, Noeppel A, Saadi B, et al.Solidification of metallic alloys under magnetic fields[J]. Trans. Indian Inst. Met., 2009, 62: 465
[19] Li J, Wu M, Hao J, et al.Simulation of channel segregation using a two-phase columnar solidification model-Part I: Model description and verification[J]. Comp. Mater. Sci., 2012, 55: 407
[20] Li J, Wu M, Hao J, et al.Simulation of channel segregation using a two-phase columnar solidification model-Part II: Mechanism and parameter study[J]. Comp. Mater. Sci., 2012, 55: 419
[21] Ge H H, Ren F L, Li J, et al.Four-phase dendritic model for the prediction of macrosegregation, shrinkage cavity, and porosity in a 55-ton ingot[J]. Metall. Mater. Trans., 2017, 48A:1139
[22] Cao Y F, Chen Y, Li D Z.Formation mechanism of channel segregation in carbon steels by inclusion flotation: X-ray microtomography characterization and multi-phase flow modeling[J]. Acta Mater., 2016, 107: 325
[23] Tang J J.The key technology of large scale casting based on electroslag remelt [D]. Nanchang: Nanchang University, 2011(唐建军. 基于电渣重熔的大型铸锭成型关键技术研究 [D]. 南昌: 南昌大学, 2011)
[24] Wang H J.Study on a homogenized technology of large diameter ingot of 7075 aluminum alloy [D]. Beijing: University of Science and Technology Beijing, 2015(王海军. 7075合金大直径铸锭均质化技术研究 [D]. 北京: 北京科技大学, 2015)
[25] Hu D Z, Zhou B S, Zhao W Z, et al.Study on the unidirectional solidification of large-sized ingot[J]. Wide Heavy Plate, 1995, 1(1): 11(胡德志, 周碧珊, 赵文忠等. 定向凝固大型铸锭研究[J]. 宽厚板, 1995, 1(1): 11)
[26] Bikas H, Stavridis J, Stavropoulos P, et al.A design framework to replace conventional manufacturing processes with additive manufacturing for structural components: A formula student case study[J]. Procedia CIRP, 2016, 57: 710
[27] Kruth J P, Froyen L, Van Vaerenbergh J, et al.Selective laser melting of iron-based powder[J]. J. Mater. Process. Technol., 2004, 149: 616
[28] Sang B G, Kang X H, Li D Z.A novel technique for reducing macrosegregation in heavy steel ingots[J]. J. Mater. Process. Technol., 2010, 210: 703
[29] Zhang Y T, Chen B, Liu K, et al.Development of low segregation technology[J]. Acta Metall. Sin., 2017, 53: 559(张玉妥, 陈波, 刘奎等. 低偏析技术的发展[J]. 金属学报, 2017, 53: 559)
[30] Tanaka Y, Ishiguro T.Development of high-purity large-scale forgings for energy service[J]. Phys. Status Solidi, 1997, 160A: 305
[31] Tanaka Y, Sato I.Development of high purity large forgings for nuclear power plants[J]. J. Nucl. Mater., 2011, 417: 854
[32] Tu W T, Shen H F, Liu B C.Modelling of macrosegregation in a 231-ton steel ingot with multi-pouring process[J]. Mater. Res. Innov., 2015, 19: 60
[33] Li J, Liu D R, Kang X H, et al.Numerical simulation of delayed pouring technique for a 360 t heavy steel ingot[J]. Mater. Sci. Eng., 2012, 33: 012092
[34] Liu D R, Sang B G, Kang X H, et al.Numerical simulation of macrosegregation in large multiconcentration poured steel ingot[J]. Int. J. Cast Met. Res., 2010, 23: 354
[35] Tu W T, Zhang X, Shen H F, et al.Numerical simulation on multiple pouring process for a 292 t steel ingot[J]. China Found., 2014, 11: 52
[36] Doub V S, Romashkin A N, Malginov A N.Main trends in the development of technology for casting steel into ingots[J]. Metallurgist, 2013, 57: 487
[37] Rappaz M.Modelling of microstructure formation in solidification processes[J]. Int. Mater. Rev., 1989, 34: 93
[38] Wu M H, Ludwig A.A three-phase model for mixed columnar-equiaxed solidification[J]. Metall. Mater. Trans., 2006, 37A: 1613
[39] Li J, Wu M H, Ludwig A, et al.Simulation of macrosegregation in a 2.45-ton steel ingot using a three-phase mixed columnar-equiaxed model[J]. Int. J. Heat Mass Trans., 2014, 72: 668
[40] Li J, Ge H H, Wu M H, et al.A columnar & non-globular equiaxed mixed three-phase model based on thermosolutal convection and grain movement[J]. Acta Metall. Sin., 2016, 52: 1096(李军, 葛鸿浩, Wu M H等. 基于热溶质对流及晶粒运动的柱状晶-非球状等轴晶混合三相模型[J]. 金属学报, 2016, 52: 1096)
[41] Ge H H, Li J, Han X J, et al.Dendritic model for macrosegregation prediction of large scale castings[J]. J. Mater. Process. Technol., 2015, 227: 308
[42] Ma C W, Shen H F, Huang T Y, et al.Numerical simulation of macro-segregation with equiaxed grains movement[J]. Chin. J. Mater. Res., 2004, 18: 232(马长文, 沈厚发, 黄天佑等. 等轴晶移动对宏观偏析影响的数值模拟[J]. 材料研究学报, 2004, 18: 232)
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