Prediction of microstructure by multi-scale modeling of recrystallization based on cellular automata and finite element method셀룰라 오토마타와 유한요소해석 기반의 다중 스케일 재결정 모델링을 통한 미세조직 예측

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 496
  • Download : 0
DC FieldValueLanguage
dc.contributor.advisorIm, Yong-Taek-
dc.contributor.advisor임용택-
dc.contributor.authorLee, Ho-Won-
dc.contributor.author이호원-
dc.date.accessioned2011-12-14T05:22:25Z-
dc.date.available2011-12-14T05:22:25Z-
dc.date.issued2010-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=418617&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/43290-
dc.description학위논문(박사) - 한국과학기술원 : 기계공학전공, 2010.2, [ ix, 162 p. ]-
dc.description.abstractHigh-strength metals are gaining greater importance in the metal industry due to the recent requirements of the market. Several strengthening mechanisms such as substructural, solid solution, precipitation, grain boundary, and phase transformation strengthening have been used to develop high-strength materials. In general, most of these methods increase the strength but decrease the toughness of a material. However, grain refinement increases both the strength and toughness of a material. Thus, it is expected that techniques to control the microstructure in industrial manufacturing processes will be developed; this will require better prediction and modeling of the microstructure evolution. In this study, a multiscale model using cellular automata and the finite element method was developed to predict microstructural changes due to dynamic recrystallization during hot deformation. The modified cellular automata model was developed to simulate the dynamic recrystallization process. In this model, Moore’s neighboring rule was applied with partial fractions and time step control to represent the grain growth kinetics more accurately. The cellular automata model consists of work hardening, nucleation, and growth modules. To model the work hardening process, the dislocation model proposed by Kocks and Mecking, which contains kinetic and evolution equations, was used. The constant nucleation model was used for nucleation modeling, and Turnbull’s rate equation was used for growth modeling. For validation, the cellular automata model developed in this study was applied to a simulation of the dynamic recrystallization of pure copper during hot deformation. A set of isothermal hot compression tests were conducted using a Gleeble machine to acquire flow stresses. The compressed specimen was investigated by electron backscattered diffraction (EBSD) after mechanical and chemical polishing to obtain grain size distributions. The predicted results were in reasonably good...eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectDynamic Recrystallization-
dc.subjectFinite Element-
dc.subjectCellular Automata-
dc.subjectMultiscale-
dc.subjectHot deformation-
dc.subject열간 변형-
dc.subject동적 재결정-
dc.subject유한요소해석-
dc.subject세포 자동자-
dc.subject다중 스케일-
dc.titlePrediction of microstructure by multi-scale modeling of recrystallization based on cellular automata and finite element method-
dc.title.alternative셀룰라 오토마타와 유한요소해석 기반의 다중 스케일 재결정 모델링을 통한 미세조직 예측-
dc.typeThesis(Ph.D)-
dc.identifier.CNRN418617/325007 -
dc.description.department한국과학기술원 : 기계공학전공, -
dc.identifier.uid020037523-
dc.contributor.localauthorIm, Yong-Taek-
dc.contributor.localauthor임용택-
Appears in Collection
ME-Theses_Ph.D.(박사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0