Monte Carlo Model in Metal Recrystallization Simulation
Some new advices are proposed for Monte Carlo model of recrystallization annealing simulation, including an additional recovery process, a new stored energy distribution, a more advanced nucleation model and a conversion probability of site orientation. Then a Monte Carlo model is established absorb...
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Published in | Shanghai jiao tong da xue xue bao Vol. 16; no. 3; pp. 337 - 342 |
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Format | Journal Article |
Language | English |
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Heidelberg
Shanghai Jiaotong University Press
01.06.2011
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Abstract | Some new advices are proposed for Monte Carlo model of recrystallization annealing simulation, including an additional recovery process, a new stored energy distribution, a more advanced nucleation model and a conversion probability of site orientation. Then a Monte Carlo model is established absorbing the above improvements, and used to isothermal annealing simulation of 1060 pure aluminum cold-rolled sheet. For contrast, a recrystallization annealing experiment of 1060 pure aluminum is carried out at the same time. The results show that the 1060 aluminum alloy in the annealing experiment produces obvious recrystallization, and the grain morphology of recrystallization is similar to isometric. The new model can effectively simulate the non- homogeneous nucleation process and the microstructure evolution of 1060 industrial pure aluminum in annealing, and the simulated recrystallization kinetics curve is similar to the theoretical curve. The Avrami exponent coincides with the experimental result but is lower than the theoretical value of 2. As the Monte Carlo model does not consider the preferential growth orientation, some simulated results are not completely consistent with that from experiments. |
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AbstractList | Some new advices are proposed for Monte Carlo model of recrystallization annealing simulation, including an additional recovery process, a new stored energy distribution, a more advanced nucleation model and a conversion probability of site orientation. Then a Monte Carlo model is established absorbing the above improvements, and used to isothermal annealing simulation of 1060 pure aluminum cold-rolled sheet. For contrast, a recrystallization annealing experiment of 1060 pure aluminum is carried out at the same time. The results show that the 1060 aluminum alloy in the annealing experiment produces obvious recrystallization, and the grain morphology of recrystallization is similar to isometric. The new model can effectively simulate the non-homogeneous nucleation process and the microstructure evolution of 1060 industrial pure aluminum in annealing, and the simulated recrystallization kinetics curve is similar to the theoretical curve. The Avrami exponent coincides with the experimental result but is lower than the theoretical value of 2. As the Monte Carlo model does not consider the preferential growth orientation, some simulated results are not completely consistent with that from experiments. Some new advices are proposed for Monte Carlo model of recrystallization annealing simulation, including an additional recovery process, a new stored energy distribution, a more advanced nucleation model and a conversion probability of site orientation. Then a Monte Carlo model is established absorbing the above improvements, and used to isothermal annealing simulation of 1060 pure aluminum cold-rolled sheet. For contrast, a recrystallization annealing experiment of 1060 pure aluminum is carried out at the same time. The results show that the 1060 aluminum alloy in the annealing experiment produces obvious recrystallization, and the grain morphology of recrystallization is similar to isometric. The new model can effectively simulate the nonhomogeneous nucleation process and the microstructure evolution of 1060 industrial pure aluminum in annealing, and the simulated recrystallization kinetics curve is similar to the theoretical curve. The Avrami exponent coincides with the experimental result but is lower than the theoretical value of 2. As the Monte Carlo model does not consider the preferential growth orientation, some simulated results are not completely consistent with that from experiments. |
Author | 张继祥 文辉 刘运腾 |
AuthorAffiliation | College of Mechanical-Electronic and Automobile Engineering, Chongqing Jiaotong University, Chongqing 400074 China New Material Institute, Shandong Academy of Sciences, Jinan 250061, China |
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Cites_doi | 10.1016/0956-716X(92)90143-3 10.1016/0956-716X(92)90144-4 10.1063/1.1750380 10.1016/0956-7151(91)90183-2 10.1016/0001-6160(86)90128-8 10.1016/0001-6160(88)90313-6 10.1016/S1359-6462(02)00039-8 10.4028/www.scientific.net/MSF.467-470.611 10.1016/S0927-0256(00)00216-0 10.1016/0956-7151(92)90062-J 10.4028/www.scientific.net/MSF.467-470.107 |
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Notes | Some new advices are proposed for Monte Carlo model of recrystallization annealing simulation, including an additional recovery process, a new stored energy distribution, a more advanced nucleation model and a conversion probability of site orientation. Then a Monte Carlo model is established absorbing the above improvements, and used to isothermal annealing simulation of 1060 pure aluminum cold-rolled sheet. For contrast, a recrystallization annealing experiment of 1060 pure aluminum is carried out at the same time. The results show that the 1060 aluminum alloy in the annealing experiment produces obvious recrystallization, and the grain morphology of recrystallization is similar to isometric. The new model can effectively simulate the non- homogeneous nucleation process and the microstructure evolution of 1060 industrial pure aluminum in annealing, and the simulated recrystallization kinetics curve is similar to the theoretical curve. The Avrami exponent coincides with the experimental result but is lower than the theoretical value of 2. As the Monte Carlo model does not consider the preferential growth orientation, some simulated results are not completely consistent with that from experiments. 31-1943/U ZHANG Ji-xiang, WEN Hui, LIU Yun-teng College of Mechanical-Electronic and Automobile Engineering, Chongqing Jiaotong University, Chongqing 400074 China; 2. New Material Institute, Shandong Academy of Sciences, Jinan 250061, China recrystallization, Monte Carlo (MC), organizational simulation ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
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References | Avrami (CR2) 1939; 7 Zhang, Yang, Zhong (CR16) 2009; 28 Rollett, Raabe (CR14) 2001; 21 Radhakrishnan, Sarma, Zacharia (CR7) 1998; 46 Vandermeer, Gordon (CR22) 1959; 215 Hesselbarth, Goebel (CR8) 1991; 39 Humphreys (CR10) 1992; 27 Zhang, Wang, Liu (CR17) 2009; 31 Rollett, Srolovitz, Anderson (CR6) 1992; 40 Johnson, Mehl (CR1) 1939; 135 Tong, Mo, Li (CR18) 2002; 38 Srolovitz, Grest, Anderson (CR4) 1986; 34 Holm, Miodownik, Rollett (CR11) 2003; 51 Anderson, Mehl (CR3) 1945; 33 Shen (CR20) 2008 Raabe (CR13) 2000; 48 Shen, Guan, Zhang (CR15) 2007; 17 Holm, Miodownik, Healey (CR12) 2004; 467–470 Jensen (CR9) 1992; 27 Humphreys (CR21) 2004; 467–470 Mao (CR23) 1994 Srolovitz, Grest, Anderson (CR5) 1988; 36 Caleyo, Baudin, Penelle (CR19) 2002; 46 F. J. Humphreys (1156_CR21) 2004; 467–470 F. Caleyo (1156_CR19) 2002; 46 X.-min. Shen (1156_CR20) 2008 R. A. Vandermeer (1156_CR22) 1959; 215 A. D. Rollett (1156_CR6) 1992; 40 J.-x. Zhang (1156_CR16) 2009; 28 M. Avrami (1156_CR2) 1939; 7 W.-min. Mao (1156_CR23) 1994 W. A. Anderson (1156_CR3) 1945; 33 D. J. Srolovitz (1156_CR5) 1988; 36 F. J. Humphreys (1156_CR10) 1992; 27 E. A. Holm (1156_CR11) 2003; 51 W. A. Johnson (1156_CR1) 1939; 135 M.-m. Tong (1156_CR18) 2002; 38 D. Raabe (1156_CR13) 2000; 48 D. J. Srolovitz (1156_CR4) 1986; 34 E. A. Holm (1156_CR12) 2004; 467–470 J.-x. Zhang (1156_CR17) 2009; 31 B. Radhakrishnan (1156_CR7) 1998; 46 H. W. Hesselbarth (1156_CR8) 1991; 39 D. J. Jensen (1156_CR9) 1992; 27 X.-m. Shen (1156_CR15) 2007; 17 A. D. Rollett (1156_CR14) 2001; 21 |
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