Simulation of isothermal precision extrusion of NiTi shape memory alloy pipe coupling by combining finite element method with cellular automaton
In order to present the microstructures of dynamic recrystallization (DRX) in different deformation zones of hot extruded NiTi shape memory alloy (SMA) pipe coupling, a simulation approach combining finite element method (FEM) with cellular automaton (CA) was developed and the relationship between t...
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| Published in | Journal of Central South University Vol. 24; no. 3; pp. 506 - 514 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Changsha
Central South University
01.03.2017
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2095-2899 2227-5223 |
| DOI | 10.1007/s11771-017-3453-5 |
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| Abstract | In order to present the microstructures of dynamic recrystallization (DRX) in different deformation zones of hot extruded NiTi shape memory alloy (SMA) pipe coupling, a simulation approach combining finite element method (FEM) with cellular automaton (CA) was developed and the relationship between the macroscopic field variables and the microscopic internal variables was established. The results show that there exists a great distinction among the microstructures in different zones of pipe coupling because deformation histories of these regions are diverse. Large plastic deformation may result in fine recrystallized grains, whereas the recrystallized grains may grow very substantially if there is a rigid translation during the deformation, even if the final plastic strain is very large. As a consequence, the deformation history has a significant influence on the evolution path of the DRX as well as the final microstructures of the DRX, including the morphology, the mean grain size and the recrystallization fraction. |
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| AbstractList | In order to present the microstructures of dynamic recrystallization (DRX) in different deformation zones of hot extruded NiTi shape memory alloy (SMA) pipe coupling, a simulation approach combining finite element method (FEM) with cellular automaton (CA) was developed and the relationship between the macroscopic field variables and the microscopic internal variables was established. The results show that there exists a great distinction among the microstructures in different zones of pipe coupling because deformation histories of these regions are diverse. Large plastic deformation may result in fine recrystallized grains, whereas the recrystallized grains may grow very substantially if there is a rigid translation during the deformation, even if the final plastic strain is very large. As a consequence, the deformation history has a significant influence on the evolution path of the DRX as well as the final microstructures of the DRX, including the morphology, the mean grain size and the recrystallization fraction. |
| Author | Jiang, Shu-yong Zhao, Ya-nan Zhang, Yan-qiu Zhu, Xiao-ming |
| Author_xml | – sequence: 1 givenname: Yan-qiu surname: Zhang fullname: Zhang, Yan-qiu organization: College of Mechanical and Electrical Engineering, Harbin Engineering University – sequence: 2 givenname: Shu-yong surname: Jiang fullname: Jiang, Shu-yong email: jiangshy@sina.com organization: College of Mechanical and Electrical Engineering, Harbin Engineering University – sequence: 3 givenname: Ya-nan surname: Zhao fullname: Zhao, Ya-nan organization: College of Mechanical and Electrical Engineering, Harbin Engineering University – sequence: 4 givenname: Xiao-ming surname: Zhu fullname: Zhu, Xiao-ming organization: College of Mechanical and Electrical Engineering, Harbin Engineering University |
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| SubjectTerms | Cellular automata Coupling Dynamic recrystallization Engineering Extrusion Finite element analysis Finite element method Grain size Intermetallic compounds Metallic Materials Microstructure Nickel base alloys Nickel titanides Pipes Plastic deformation Shape memory alloys |
| Title | Simulation of isothermal precision extrusion of NiTi shape memory alloy pipe coupling by combining finite element method with cellular automaton |
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