An optimized fuzzy-genetic algorithm for metal foam manufacturing process control

摘要: The present investigation deals with the proposal of a combined fuzzy-genetic algorithm (F-GA) model able to describe inherent uncertainties related manufacture open-cell aluminum foams by using dissolution and sintering process (DSP). use F-GA method allows take into account, within same model, both uncertainty statistical manufacturing variability. developed is aimed at controlling capability this material absorbing energy in compressive deformation, for different set parameters. In particular, genetic algorithms optimization support fuzzy numbers defined order account most experimental data combination smallest uncertainty. Then, input uncertainty, variability chosen propagated output variables Transformation Method. results are then compared measured membership level dataset uncertain evaluated. maps generated allow select operational parameters obtain desired output, lowest level, providing, as additional information, how much varies changing those