完整後設資料紀錄
DC 欄位語言
dc.contributor.authorChen, Hsin-Yuen_US
dc.contributor.authorTsou, Nien-Tien_US
dc.date.accessioned2019-09-02T07:46:19Z-
dc.date.available2019-09-02T07:46:19Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn1526-1492en_US
dc.identifier.urihttp://dx.doi.org/10.32604/cmes.2019.06447en_US
dc.identifier.urihttp://hdl.handle.net/11536/152705-
dc.description.abstractShape memory alloys has been widely applied on actuators and medical devices. The transformation temperature and microstructural evolution play two crucial factors and dominate the behavior of shape memory alloys. In order to understand the influence of the composition of the Ni-Ti alloys on the two factors, molecular dynamics was adopted to simulate the temperature-induced phase transformation. The results were post-processed by the martensite variant identification method. The method allows to reveal the detailed microstructural evolution of variants/phases in each case of the composition of Ni-Ti. Many features were found and having good agreement with those reported in the literature, such as the well-known Rank-2 herringbone structures; the X-interface; Ni-rich alloys have lower transformation temperature than Ti-rich alloys. In addition, some new features were also discovered. For example, the Ti-rich alloys enabled an easier martensitic transformation; the nucleated martensite pattern determined the microstructural evolution path, which also changed the atomic volume and temperature curves. The results generated in the current study are expected to provide the design guidelines for the applications of shape memory alloys.en_US
dc.language.isoen_USen_US
dc.subjectThermal-induced phase transformationen_US
dc.subjecttransformation temperatureen_US
dc.subjectmolecular dynamicsen_US
dc.subjectcrystal variantsen_US
dc.titleThe Analysis of Thermal-Induced Phase Transformation and Microstructural Evolution in Ni-Ti Based Shape Memory Alloys By Molecular Dynamicsen_US
dc.typeArticleen_US
dc.identifier.doi10.32604/cmes.2019.06447en_US
dc.identifier.journalCMES-COMPUTER MODELING IN ENGINEERING & SCIENCESen_US
dc.citation.volume120en_US
dc.citation.issue2en_US
dc.citation.spage319en_US
dc.citation.epage332en_US
dc.contributor.department材料科學與工程學系zh_TW
dc.contributor.departmentDepartment of Materials Science and Engineeringen_US
dc.identifier.wosnumberWOS:000478073100007en_US
dc.citation.woscount1en_US
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