Affiliation:
1. School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
2. Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, China
Abstract
A cellular automata model was established to simulate grain coarsening processes pinned by second-phase particles. The influences of particle coarsening, precipitation, growth and dissolution, which contain complex changes of size and number density of the particles, on the grain coarsening kinetics were investigated by considering the following two factors: average pinning force per particle and particle number density. The simulation results showed that the average pinning force per particle was related to the particle size, but little influenced by the particle number density. The investigations about the grain boundary/particles interactions showed that the increase of number fraction of particles, which located at the grain boundary junctions, should be the reason for the increase of average pinning force per particle. Then the limiting grain size was researched and compared to the results of some other models. The results showed that the average number of particles to stagnate a grain was related to both the number density and size of particles. At last, the comparisons between the present simulation results and the other simulation and experimental results showed that the present models were efficient in simulating the grain coarsening processes pinned by second-phase particles.
Funder
Initial Scientific Research Fund of Young Teachers in Beijing Technology and Business University
Subject
General Materials Science,Metals and Alloys
Cited by
1 articles.
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