Title

Microstructural Optimization of Alloys Using a Genetic Algorithm

Abstract

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.”

Department(s)

Mechanical and Aerospace Engineering

Second Department

Materials Science and Engineering

Sponsor(s)

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

Library of Congress Subject Headings

Aluminum alloys
Genetic algorithms

International Standard Serial Number (ISSN)

09215093

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2004 Elsevier, All rights reserved.


Share

 
COinS