过热温度和冷却速率对过冷Ti熔体凝固过程的影响

  • 樊丹丹 ,
  • 许军锋 ,
  • 钟亚男 ,
  • 坚增运
展开
  • 西安工业大学材料与化工学院 西安 710021

作者简介 樊丹丹,女,1993年生,硕士生

收稿日期: 2017-09-25

  网络出版日期: 2018-03-06

基金资助

国家自然科学基金项目No.51671151和陕西省科技项目No.2016KJXX-87

Effect of Superheated Temperature and Cooling Rate on the Solidification of Undercooled Ti Melt

  • Dandan FAN ,
  • Junfeng XU ,
  • Yanan ZHONG ,
  • Zengyun JIAN
Expand
  • School of Materials and Chemical Engineering, Xi'an Technological University, Xi'an 710021, China

Received date: 2017-09-25

  Online published: 2018-03-06

Supported by

Supported by National Natural Science Foundation of China (No.51671151) and Science and Technology Program of Shaanxi Province (No.2016KJXX-87)

摘要

采用分子动力学方法研究了金属Ti熔体的凝固过程,通过径向分布函数、H-A键型结构以及最大原子团簇方法分析了Ti的凝固组织。结果表明,金属Ti熔体的凝固过冷度随过热温度的升高而增大,且过冷度与过热温度的变化曲线上出现2次转折:T1=2100 K和T2=2490 K,分别对应于形核团簇的原子键破坏起始温度和破坏终了温度。在此温度区间,过热熔体中微观晶核团簇随温度升高而减少。当过热温度增大到一定程度(大于T2),其过冷度将维持定值;同时,金属Ti熔体的过冷度也随冷速的增大而增大,直到非晶结构形成;金属Ti形成非晶的临界冷速为1.0×1013 K/s。

本文引用格式

樊丹丹 , 许军锋 , 钟亚男 , 坚增运 . 过热温度和冷却速率对过冷Ti熔体凝固过程的影响[J]. 金属学报, 2018 , 54(6) : 844 -850 . DOI: 10.11900/0412.1961.2017.00402

Abstract

Undercooling is an important parameter to characterize the process of solidification and the physical properties of the melt. However, the traditional experimental conditions do not provide mature technical conditions and experimental platforms for the study of this subject. Molecular dynamics simulation method can not only study the experimental process and the organization structure, but also break through the limited conditions of the laboratory, and provide advanced prediction for scientific research. In order to study the influences of superheated temperature and cooling rate on the undercooling of the homogeneous nucleation and the solidified structure, the solidification of undercooled Ti melt was studied by molecular dynamics simulation in this work; and the solidified structure was then analyzed by the radial analysis, the H-A key type analysis and the largest groups of cluster analysis. The results show that, the nucleation undercooling of Ti melt increases with the rise of superheated temperature. In the undercooling vs temperature curve there are two inflection points at 2100 K (T1) and 2490 K (T2), which correspond to the breaking-start temperature and breaking-end temperature for bond pair of nucleation cluster. In this temperature range, the number of nucleation clusters decreases with rise of temperature. When the superheated temperature is higher than T2, the nucleation undercooling approaches a constant. On the other hand, the nucleation undercooling of Ti melt increases with the accelerate of cooling rate until an anomalous structure is formed, and in the numbers of the bonds of the structure vs different cooling rate curves, the number of 1541, 1551 and 1431 bond types gradually adds with cooling rate going up. In addition, when the cooling rate is less than 1.0×1011 K/s, the hcp and bcc inlaid crystalline structures are obtained after the solidification of Ti melt. When the cooling rate is greater than or equal to 1.0×1013 K/s, two kinds of crystalline structure are reduced, and the microstructures are mainly amorphous. When the cooling rate ranges between 1.0×1011 K/s and 1.0×1013 K/s, its structure is a mixture of crystalline and amorphous. From the results of radial distribution, H-A bond type and atomic cluster analysis, it was found that the critical cooling rate for amorphous structure is determined as 1.0×1013 K/s.

参考文献

[1] Jian Z Y, Chang F E, Ma W H, et al.Metal nucleation and undercooling[J]. Sci. China, 2000, 30E: 9(坚增运, 常芳娥, 马卫红等. 金属熔体的形核和过冷度[J]. 中国科学, 2000, 30E: 9)
[2] Mortensen A, Flemings M C.Solidification of binary hypoeutectic alloy matrix composite castings[J]. Metall. Mater. Trans., 1996, 27A: 595
[3] Jian Z Y, Kuribayashi K, Jie W Q.Critical undercoolings for the transition from the lateral to continuous growth in undercooled silicon and germanium[J]. Acta Mater., 2004, 52: 3323
[4] Xu J F, Xiang M, Dang B, et al.Relation of cooling rate, undercooling and structure for rapid solidification of iron melt[J]. Comput. Mater. Sci., 2017, 128: 98
[5] Feng Y.Study on non-equilibrium solidification mechanism of Al-Si alloys [D]. Chongqing: Chongqing University, 2008(冯毅. Al-Si合金的非平衡凝固机理研究 [D]. 重庆: 重庆大学, 2008)
[6] Si N C, Zhao L G, Sun K Q.Influence of melt thermal history on structure of melt Al-Cu alloy[J]. Nonferrous Met., 2008, 60(4): 22(司乃潮, 赵罗根, 孙克庆. 熔体热历史对Al-Cu合金熔体结构的影响[J]. 有色金属, 2008, 60(4): 22)
[7] Li J Y, Liu R S, Zhou Z, et al.A simulation study for the effects of initial conditions of liquid metals on solidification microstructures[J]. Chin. J. At. Mol. Phys., 1998, 15(2): 193(李基永, 刘让苏, 周征等. 液态金属的初始状态对凝固微结构影响的模拟研究[J]. 原子与分子物理学报, 1998, 15(2): 193)
[8] Hou Z Y, Dong K J, Tian Z A, et al.Cooling rate dependence of solidification for liquid aluminium: A large-scale molecular dynamics simulation study[J]. Phys. Chem. Chem. Phys., 2016, 18: 17461
[9] Hou Z Y, Tian Z A, Liu R S, et al.Formation mechanism of bulk nanocrystalline aluminium with multiply twinned grains by liquid quenching: A molecular dynamics simulation study[J]. Comput. Mater. Sci., 2015, 99: 256
[10] Zhang H T, Liu R S, Hou Z Y, et al.A simulation study for the effects of cooling rate on evolution of microstructures during solidification of liquid metal Ga[J]. Acta Phys. Sin., 2006, 55: 2409(张海涛, 刘让苏, 侯兆阳等. 冷速对液态金属Ga凝固过程中微观结构演变影响的模拟研究[J]. 物理学报, 2006, 55: 2409)
[11] Zhang T, Zhang X R, Guan L.Molecular dynamics simulations of the solidification of liquid Au[J]. J. Shandong Univ. Technol., 2002, 32: 57(张弢, 张晓茹, 管立. 贵金属Au冷却过程的分子动力学研究[J]. 山东工业大学学报, 2002, 32: 57)
[12] Lin Y, Liu R S, Tian Z A, et al.Effect of cooling rates on microstructures during solidification process of liquid metal Zn[J]. Acta Phys.-Chim. Sin., 2008, 24: 250(林艳, 刘让苏, 田泽安等. 冷却速率对液态金属Zn快速凝固过程中微观结构的影响[J]. 物理化学学报, 2008, 24: 250)
[13] Allen M P.Introduction of molecular dynamics simulation [A]. Computational Soft Matter: From Synthetic Polymers to Proteins, Lecture Notes[C]. Julich: John von Neumann Institute for Computing, 2004: 43
[14] Bhat M H, Molinero V, Soignard E, et al.Vitrification of a monatomic metallic liquid[J]. Nature, 2007, 448: 787
[15] Pan S P, Qin J Y, Wang W M, et al.Origin of splitting of the second peak in the pair-distribution function for metallic glasses[J]. Phys. Rev., 2011, 84B: 092201
[16] Alkhateb H, Al-Ostaz A, Cheng A H D. Molecular dynamics simulations of graphite-vinylester nanocomposites and their constituents[J]. Carbon Lett., 2010, 11: 316
[17] Cao A J, Yuan Y T.Atomistic study on the strength of symmetric tilt grain boundaries in graphene[J]. Appl. Phys. Lett., 2012, 100: 211912
[18] Ebrahimi S, Montazeri A, Rafii-Tabar H.Molecular dynamics study of the interfacial mechanical properties of the graphene-collagen biological nanocomposite[J]. Comput. Mater. Sci., 2013, 69: 29
[19] Mortazavi B, Ahzi S.Thermal conductivity and tensile response of defective graphene: A molecular dynamics study[J]. Carbon, 2013, 63: 460
[20] Xia L, Chen S, Lu J S, et al.The development and application of the interatomic potentials of precious metals for molecular dynamics simulation[J]. Preci. Met., 2013, 34(4): 82(夏璐, 陈松, 陆建生等. 分子动力学模拟用贵金属势函数的应用与发展[J]. 贵金属, 2013, 34(4): 82)
[21] Okita S, Verestek W, Sakane S, et al.Molecular dynamics simulations investigating consecutive nucleation, solidification and grain growth in a twelve-million-atom Fe-system[J]. J. Cryst. Growth, 2017, 474: 140
[22] Plimpton S.Fast parallel algorithms for short-range molecular dynamics[J]. J. Comput. Phys., 1995, 117: 1
[23] Nosé S.A molecular dynamics method for simulations in the canonical ensemble[J]. Mol. Phys., 1984, 52: 255
[24] Hoover W G.Canonical dynamics: Equilibrium phase-space distributions[J]. Phys. Rev., 1985, 31A: 1695
[25] Daw M S, Baskes M I.Embedded-atom method: Derivation and application to impurities, surfaces, and other defects in metals[J]. Phys. Rev., 1984, 29B: 6443
[26] Daw M S.Model of metallic cohesion: The embedded-atom method[J]. Phys. Rev., 1989, 39B: 7441
[27] Gao A H.Effect of melt thermal history on the solidification behaviors of metals [D]. Xi'an: Xi'an Technological University, 2013(高阿红. 熔体热历史对金属凝固特性影响的研究 [D]. 西安: 西安工业大学, 2013)
[28] Zhong Y N.Study on the structure of metal melt and solidification behavior by molecular dynamic simulation method [D]. Xi'an: Xi'an Technological University, 2016(钟亚男. 金属熔体结构及凝固特性的分子动力学模拟 [D]. 西安: 西安工业大学, 2016)
[29] Xu J F, Dang B, Fan D D, et al.Effect of melt superheating treatment on the latent heat release of Sn[J]. Metall. Mater. Trans., 2017, 48A: 1133
[30] Sapozhnikov F A, Ionov G V, Dremov V V.An adaptive template method for analyzing crystal structures and defects in molecular dynamics simulations of high-rate deformations[J]. Russ. J. Phys. Chem., 2008, 2B: 238
[31] Jian Z Y, Chen J, Chang F E, et al.Simulation of molecular dynamics of silver subcritical nuclei and crystal clusters during solidification[J]. Sci. China Technol. Sci., 2010, 53: 3203
[32] Jian Z Y, Gao A H, Chang F E, et al.Molecular dynamics simulation of the critical and subcritical nuclei during solidification of nickel melt[J]. Acta Phys. Sin., 2013, 62: 056102(坚增运, 高阿红, 常芳娥等. Ni熔体凝固过程中临界晶核和亚临界晶核的分子动力学模拟[J]. 物理学报, 2013, 62: 056102)
[33] Nie Y Z, Xie Y Q, Peng H J, et al.First-principles study of thermal properties of metal Ti[J]. J. Cent. South Univ.(Sci. Technol.), 2007, 38: 1072(聂耀庄, 谢佑卿, 彭红建等. 金属Ti热学性质第一原理研究[J]. 中南大学学报(自然科学版), 2007, 38: 1072)
[34] Wang L, Bian X F, Li H.Liquid-solid transition and crystal growth of metal Cu by molecular dynamics simulation[J]. J. Phys. Chem. Sin., 2000, 16: 825(王丽, 边秀房, 李辉. 金属Cu液固转变及晶体生长的分子动力学模拟[J]. 物理化学学报, 2000, 16: 825)
[35] Schroers J.Condensed-matter physics: Glasses made from pure metals[J]. Nature, 2014, 512: 142
[36] Zhong L, Wang J W, Sheng H W, et al.Formation of monatomic metallic glasses through ultrafast liquid quenching[J]. Nature, 2014, 512: 177
文章导航

/