Microstructural Optimization of Alloys Using a Genetic Algorithm
A methodology is presented to tailor the microstructure of alloys for developing “materials by design.” Theoretical and phenomenological models are used to correlate the microstructure to macroscopic properties, and a genetic algorithm (GA) is used to synthesize the optimal microstructure for satisfying user-defined design requirements. Simulated results are presented for an Al-Mg-Sc-Zr alloy considering low temperature strength, ductility, and high temperature strength as the macroscopic properties of interest. The efficacy of the optimization scheme is also evaluated by comparing the GA results with the global optimal values obtained by searching the entire solution space. The results presented show that the methodology lends itself well to realize the concept of “materials by design.”
A. J. Kulkarni et al., "Microstructural Optimization of Alloys Using a Genetic Algorithm," Materials Science and Engineering: A, vol. 372, no. 1-2, pp. 213-220, Elsevier, May 2004.
The definitive version is available at https://doi.org/10.1016/j.msea.2003.12.005
Mechanical and Aerospace Engineering
Materials Science and Engineering
University of Missouri Research Board
Keywords and Phrases
Materials By Design; Computer simulation; Ductility; High temperature effects; Magnesium alloys; Microstructure; Optimization; Strength of materials; Microstructural optimization; Aluminum alloys; alloy; Aluminum alloys; Genetic algorithms
International Standard Serial Number (ISSN)
Article - Journal
© 2004 Elsevier, All rights reserved.