An Evolutionary Annealing Approach to Alloy Tensile Organization Evolution

Abstract:

Annealing evolutionary algorithm is a method optimization and hybrid the genetic algorithm and simulated annealing algorithm; it is the genetic algorithm has a strong grasp of the overall capacity, but also the algorithm using simulated annealing local search ability of stronger populations of genetic algorithm the probability of acceptance, to avoid the mature problem of genetic algorithm. Using γ'/γ ordered from a passage in the interface of the atom spread to another channel to analyze g raft form of fancies of ordered the width of the matrix channel with changes, thinks a photograph of the raft form at high temperatures of element diffusion occur. But the high temperature pull/pressure creep during different orientations of γ' phase happen, the rate of different raft form reason and in different orientations of single crystal alloy phase during the microstructure evolution ordered γ solute elements of the directional migration patterns are still unclear.

• Periodical: Advanced Materials Research (Volume 710)
• Pages: 704-707
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.710.704
• Online since: June 2013
• Authors: Shu Zhang
• Keywords: Algorithm (GA), Annealing, Model, Organization Evolution, Phase

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