Second generation single crystal superalloys are developed utilizing neural network data modeling. A database has been constructed from previous publications and the Rolls-Royce materials database. The Bayesian neural network technique was used for the modeling of creep rupture life of single crystal superalloys in terms of alloy compositions, creep temperature and creep stress. New alloys were designed by calculations of various properties as well as creep rupture lives for millions of compositions, followed by selection of optimized alloys. The alloys developed exhibit excellent phase stability and creep rupture lives which are better than those of CMSX-4.
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