Evolutionary Optimization of Chemistry of Bulk Metallic Glasses

作者: George S. Dulikravich , Nenad Jelisavcic , Igor N. Egorov

DOI: 10.1007/1-4020-5370-3_413

关键词:

摘要: Metallic glass is basically an alloy whose metallic species are “frozen” in amorphous glassy state rather than forming a standard crystalline structure. glasses have no grain boundaries and dislocations stacking faults. They several times stronger steel considerably harder more elastic. Formation of by extremely high cooling (~105 K/sec) the melt was first accomplished 1960s. The resulting thickness limited to thin ribbons. In 1990s, researchers formed new classes bulk. bulk (BMGs) composed three or metals few diatomatous earth ingredients order lower rate. Cooling rates alloys from 100 K/s 1 K/s. possible these newer increased micrometers centimeters. One keys lowering speed creating larger specimens that should with atomic having large size chemical differences. Thus, multiple thermo-mechanical properties depend strongly on concentrations each elements given alloy. proposed methodology for accurately determining concentration important alloying based use combination robust multiobjective optimization algorithm traditional experimentation. Specifically, design method combines advanced stochastic multi-objective evolutionary self-adapting response surface relatively very small data set corresponding elements. During iterative computational procedure, need be manufactured experimentally evaluated their continuously verify accuracy entire methodology. This thus minimizes costly time-consuming experimental evaluations fewer 200 alloys.

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