Analysis of 13Cr bloom solidification structure using CA-FE model

Ying-ying Zhai , Bei-yue Ma , Ying Li , Zheng-yi Jiang

Journal of Central South University ›› 2016, Vol. 23 ›› Issue (1) : 10 -17.

PDF
Journal of Central South University ›› 2016, Vol. 23 ›› Issue (1) : 10 -17. DOI: 10.1007/s11771-016-3043-y
Article

Analysis of 13Cr bloom solidification structure using CA-FE model

Author information +
History +
PDF

Abstract

Solidification structure is critical in the control of the mechanical properties and quality during the continuous casting process. The thermo-physical properties of 13Cr steel added some rare metals, such as Mo, V, Nb, are measured to better understand the solidification structure of 13Cr bloom. A computational model using CA-FE (cellular automation-finite element) method coupled with heat transfer model is developed to describe the solidification structure in continuous casting process. It is found that the calculated solidification structure is in good agreement with the observed data. The influence of casting speed and superheat on the solidification structure of the bloom is studied in detail. In order to obtain more equiaxed crystal ratio and low degree of the segregation in the bloom, the optimized casting speed 0.6 m/min and superheat less than 25 °C are determined for the caster. Using the optimized manufacturing parameters, these samples are 60% with the equiaxed zone ratio of 8%–10% and below the degree of segregation 1.05.

Keywords

cellular automation / solidification structure / equiaxed crystal ratio / bloom / continuous casting

Cite this article

Download citation ▾
Ying-ying Zhai, Bei-yue Ma, Ying Li, Zheng-yi Jiang. Analysis of 13Cr bloom solidification structure using CA-FE model. Journal of Central South University, 2016, 23(1): 10-17 DOI:10.1007/s11771-016-3043-y

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

ChoudharyS K, GangulyS. Morphology and segregation in continuously cast high carbon steel billets [J]. ISIJ International, 2007, 47(12): 1759-1766

[2]

Ramlrez-LóPezA, Soto-CortéSG, Palomar-PardavéM, Romero-RomoM A, Aguilar-LóPezR. Computational algorithms to simulate the steel continuous casting [J]. International Journal of Minerals, Metallurgy and Materials, 2010, 17(5): 596-607

[3]

AboutalbeldlM, HasanM, GuthrieR. Coupled Turbulent flow, heat and solute transport in continuous casting processes [J]. Metallurgical and Materials Transactions B, 1995, 26(4): 731-744

[4]

VenkatesanaA, GopinathbV, RajaduraibA. Simulation of casting solidification and its grain structure prediction using FEM [J]. Journal of Materials Processing Technology, 2005, 168: 10-15

[5]

LuoS, ZhuM-y, LouhenkilpiS. Numerical simulation of solidification structure of high carbon steel in continuous casting using cellular automaton method [J]. ISIJ International, 2012, 52(5): 823-830

[6]

RappazM, GandinC. Probabilistic modelling of microstructure formation in solidification processes [J]. Acta Metallurgica et Materialia, 1993, 41(2): 345-360

[7]

NastacL. Numerical modeling of solidification morphologies and segregation patterns in cast dendritic alloys [J]. Acta Materialia, 1999, 47(17): 4253-4262

[8]

NatsumeY, OhsasaK, NaritaT. Phase-field simulation of transient liquid phase bonding process of Ni using Ni-P binary filler metal [J]. Materials Transactions, 2003, 44(5): 819-823

[9]

ZhanX-h, WeiY-d, DongZ-bo. Cellular automaton simulation of grain growth with different orientation angles during solidification process [J]. Journal of Materials Processing Technology, 2008, 208: 1-8

[10]

LiX-m, ZhangJ-y, WangB, RenZ-m, ZhouG-zhi. Simulation of stray grain formation during unidirectional solidification of IN738LC superalloy [J]. Journal of Central South University of Technology, 2011, 18(1): 23-28

[11]

YaoK-f, QianB, ShiW, LiuC-c, LiuZhuang. Experimental study and numerical prediction of phase transformation evolution during temperature process of martensite [J]. Acta Metallurgica Sinica, 2003, 39(8): 892-896

[12]

ChenJ-xiang. Iron and steel metallurgy [M]. Beijing: Metallurgical Industry Press, 1990

[13]

LallyB, BieglerL, HeneinH. Finite difference heat-transfer modelling for continuous casting [J]. Metallurgical and Materials Transactions B, 1990, 21(4): 761-770

[14]

MirihanageW U, DaiH-j, DongH-b, BrowneD J. Computational modelling of molumnar to equiaxed transition in alloy solidification [J]. Advanced Engineering Materials, 2013, 15(4): 216-229

[15]

ThevozP, DesbioliesJ, RappazM. Modeling of equiaxed microstructure formation in casting [J]. Metallurgical Transactions A, 1989, 20(2): 311-322

[16]

KurzW, GiovanolaB, TrivediR. Theory of microstructural development during rapid solidification [J]. Acta Metallurgica, 1986, 34(5): 823-830

[17]

ChenJ-xiangContinuous casting handbook [M], 1991BeijingMetallurgical Industry Press

AI Summary AI Mindmap
PDF

97

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/