Plasticity and melting characteristics of metal Al with Ti-cluster under shock loading
Dong-Lin Luan(栾栋林)1, Ya-Bin Wang(王亚斌)1,†, Guo-Meng Li(李果蒙)2, Lei Yuan(袁磊)3, and Jun Chen(陈军)4,5,‡
1 School of Mechatronic Engineering, Beijing Institute of Technology, Beijing 100081, China; 2 System Engineering Research Institute, Beijing 100094, China; 3 Beijing Special Vehicle Research Institute, Beijing 100072, China; 4 Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, China; 5 Center for Applied Physics and Technology, Peking University, Beijing 100871, China
Abstract Impurity agglomeration has a significant influence on shock response of metal materials. In this paper, the mechanism of Ti-clusters in metal Al under shock loading is investigated by non-equilibrium molecular dynamics simulations. Our results show that the Ti-cluster has obvious effects on the dislocation initiation and melting of bulk Al. First, the Ti clusters induces the strain concentrate and leads the dislocations to be initiated from the interface of Ti cluster. Second, dislocation distribution from the Ti-cluster model results in a formation of a grid-like structure, while the dislocation density is reduced compared with that from the perfect Al model. Third, the critical shock velocity of dislocation from the Ti-cluster model is lower than from perfect Al model. Furthermore, it is also found that the temperature near the interface of Ti-cluster is 100 K-150 K higher than in the other areas, which means that Ti-cluster interface melts earlier than the bulk area.
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 12072044).
Corresponding Authors:
Ya-Bin Wang, Jun Chen
E-mail: wangyabin@bit.edu.cn;jun_chen@iapcm.ac.cn
Cite this article:
Dong-Lin Luan(栾栋林), Ya-Bin Wang(王亚斌), Guo-Meng Li(李果蒙), Lei Yuan(袁磊), and Jun Chen(陈军) Plasticity and melting characteristics of metal Al with Ti-cluster under shock loading 2021 Chin. Phys. B 30 073103
[1] Xiao D, Chen X, Zou D, Zhou P, Yang T and He L 2019 J. Nucl. Mater.517 225 [2] Wei Y D, Yu Y G, Ji X J and Peng H R 2017 Mater. Sci. Forum898 1414 [3] Ruschau J J, Nicholas T and Thompson S R 2001 Int. J. Impact Eng.25 233 [4] Zhu X, Schoenitz M and Dreizin E L 2003 MRS Proceedings800 A3 [5] Klansky J, Nic J and Mikkola D 1994 J. Mater. Res.9 255 [6] Rigg P, Greeff C, Knudson M, Gray G and Hixson R S 2010 J. Appl. Phys.106 123532 [7] Asay J R and Gupta Y M 1972 J. Appl. Phys.43 2220 [8] Tokuda S and Kawahara H 1972 J. Japan Institute Metals36 8 [9] Zou L, Yang C, Lei Y, Zakharov D, Wiezorek J M K, Su D, Yin Q, Li J, Liu Z, Stach E A, Yang J C, Qi L, Wang G and Zhou G 2018 Nat. Mater.17 56 [10] Ruzic J, Emura S, Ji X and Watanabe I 2018 Mater. Sci. Eng. A718 48 [11] Hippsley C A, Knott J F and Edwards B C 1980 Acta Metallurgica28 869 [12] Hippsley C A, Knott J F and Edwards B C 1982 Acta Metallurgica30 641 [13] Okamoto P R and Rehn L E 1979 J. Nucl. Mater.83 2 [14] Koike J and Mabuchi M 1995 J. Mater. Res.10 133 [15] Chen J M, Sun T S, Viswanadham R K and Green J A S 1977 Metallurgical Transactions A8 1935 [16] Viswanadham R, Sun T and Green J 1980 Metallurgical and Materials Transactions A11 85 [17] Wang Y, Liu Z, Sun B and Wang D 2012 Adv. Mater. Res.581-582 504 [18] Kadau K, Germann T C, Lomdahl P S and Holian B L 2002 AIP Conf. Proc.620 351 [19] Mintmire J, Robertson D and White C 1994 Phys. Rev. B49 14859 [20] Li G, Wang Y, Xiang M, Liao Y, Wang K and Chen J 2018 Int. J. Mech. Sci.141 143 [21] Liao Y, Xiang M, Li G, Wang K, Zhang X and Chen J 2018 Mech. Mater.126 13 [22] Plimpton S J 1995 J. Comput. Phys.117 1 [23] Zope R and Mishin Y 2003 Phys. Rev. B68 024102 [24] Liao Y, Xiang M, Zeng X and Chen J 2015 Mech. Mater.84 12 [25] Xiang M, Cui J, Yang Y, Liao Y, Wang K, Chen Y and Chen J 2017 Int. J. Plast.97 24 [26] Wang K, Xiao S, Deng H, Zhu W and Hu W 2014 Int. J. Plast.59 180 [27] Xiang M, Hu H, Chen J and Long Y 2013 Model. Simul. Mater. Sci. Eng.21 55005 [28] Stukowski A 2010 Model. Simul. Mater. Sci. Eng.18 15012 [29] Stukowski A 2012 Model. Simul. Mater. Sci. Eng.20 045021 [30] Stukowski A 2014 J. Mech. Phys. Solids70 314 [31] Reed E J, Fried L E and Joannopoulos J D 2003 Phys. Rev. Lett.90 235503 [32] Mcqueen R G, Marsh S P, Taylor J W, Fritz J N and Carter W J 1970 High-Velocity Impact Phenomena (Academic Press) pp. 293-417 [33] Marsh S P 1980 LASL shock Hugoniot data (California: University of California Press) pp. 162-165 [34] Mishin Y, Asta M and Li J 2010 Acta Mater.58 1117 [35] Wang J and Gong H 2014 Int. J. Hydrogen Energy39 6068 [36] Zhou H, Zhang Y, Liu Y, Kohyama M, Yin P and Lu G 2009 J. Phys.: Condens. Matter21 175407 [37] van Swygenhoven H 2006 Nat. Mater.5 841 [38] Cahn J 1957 Acta Metallurgica5 169
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