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Title: Modeling of microstructure formation

Conference ·
OSTI ID:227776
; ; ;  [1]
  1. Ecole Polytechnique Federale de Lausanne (Switzerland). Lab. de Metallurgie Physique

As macroscopic models of solidification are now well advanced, the simulation of microstructure formation is becoming increasingly important. Tools based on Greens` functions (i.e., front-tracking) or diffuse interface methods (e.g., phase field) have been developed recently for the calculation of individual dendritic grains or of a few eutectic lamellae. Although very powerful and useful, such methods cannot be extended at present to the scale of a whole process mainly because of the very large computation time involved. At the intermediate mesoscopic scale of the grains, Monte Carlo (MC) or Cellular Automata (CA) methods can integrate nucleation and grain growth mechanisms in order to simulate the formation of grains during solidification. These latter methods have been coupled with Finite Element (FE) heat flow calculations in order to predict the grain structure at the scale of a whole process (computer metallography). The microstructural features which can be predicted using this coupled CA-FE model are: the morphology of the grains (columnar, equiaxed), the columnar-to-equiaxed transition, the selection of grains in the columnar zone, the crystallographic texture of the grains, the extension of grains in open regions of liquid, etc. Calculated parameters of the three-dimensional grain structure can also be related to the same entities obtained in metallographic cross sections (computer stereology).

OSTI ID:
227776
Report Number(s):
CONF-9509118-; ISBN 0-87339-297-3; TRN: IM9622%%53
Resource Relation:
Conference: 7. Conference on modeling of casting, welding and advanced solidification processes, London (United Kingdom), 10-15 Sep 1995; Other Information: PBD: 1995; Related Information: Is Part Of Modeling of casting, welding and advanced solidification processes, 7; Cross, M. [ed.] [Univ. of Greenwich, London (United Kingdom). Centre for Numerical Modeling and Process Analysis]; Campbell, J. [ed.] [Univ. of Birmingham (United Kingdom). School of Metallurgy and Materials]; PB: 1030 p.
Country of Publication:
United States
Language:
English