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 inShanghai jiao tong da xue xue bao Vol. 16; no. 3; pp. 337 - 342
Main Author 张继祥 文辉 刘运腾
Format Journal Article
LanguageEnglish
Published 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.
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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recrystallization
organizational simulation
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Monte Carlo (MC)
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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
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Snippet Some new advices are proposed for Monte Carlo model of recrystallization annealing simulation, including an additional recovery process, a new stored energy...
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SubjectTerms Aluminum base alloys
Annealing
Architecture
Cold rolling
Computer Science
Computer simulation
Electrical Engineering
Engineering
Life Sciences
Materials Science
Monte Carlo methods
Nucleation
Orientation
Recrystallization
Title Monte Carlo Model in Metal Recrystallization Simulation
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https://link.springer.com/article/10.1007/s12204-011-1156-x
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https://www.proquest.com/docview/926319845
Volume 16
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