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Inverse processing-structure relation for the nucleation and growth mechanism

Published online by Cambridge University Press:  07 February 2013

Mark Jhon,
Yang Hao Lau,
Siu Sin Quek and
David T. Wu
Mark Jhon
Affiliation:
Institute of High Performance Computing, A*STAR 1 Fusionopolis Way, #16-16 Connexis Singapore, 138632, Singapore
Yang Hao Lau
Affiliation:
Institute of High Performance Computing, A*STAR 1 Fusionopolis Way, #16-16 Connexis Singapore, 138632, Singapore
Siu Sin Quek
Affiliation:
Institute of High Performance Computing, A*STAR 1 Fusionopolis Way, #16-16 Connexis Singapore, 138632, Singapore
David T. Wu
Affiliation:
Institute of High Performance Computing, A*STAR 1 Fusionopolis Way, #16-16 Connexis Singapore, 138632, Singapore
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Abstract

The formation of realistic, polycrystalline microstructures can be simulated by modeling the kinetics of nucleation and growth. However, it is difficult to perform the inverse simulation, where details of the nucleation and growth process are inferred from geometric properties of the final microstructure. In the present study, we develop a methodology for solving the inverse problem for interface-limited growth in 1D, utilizing a reverse Monte Carlo (RMC) algorithm. The algorithm produces a time dependent nucleation rate that gives a grain size distribution closest to a target distribution. Its results may be used to understand the limitations of manipulating the grain boundary distributions through temperature alone.

Keywords

microstructurenucleation & growthgrain size

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