Abstract
The development and application of the component design methods for bulk metallic glasses are summarized. And then, their application scopes are analyzed, respectively. Moreover, we propose a new method titled as similitude principle and artificial neural network model (SPANNM) for the component design and glass forming ability of bulk metallic glasses. It is shown that the predicted results by the SPANNM are in better agreement with the experimental values.
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