Chemical Composition Design of Superalloys for Maximum Stress, Temperature, and Time-to-Rupture Using Self-Adapting Response Surface Optimization

摘要: ABSTRACT We have adapted an advanced semistochastic evolutionary algorithm for constrained multiobjective optimization and combined it with experimental testing verification to determine optimum concentrations of alloying elements in heat-resistant austenitic stainless steel alloys superalloys that will simultaneously maximize a number the alloy's mechanical properties. The allows finite ingredients alloy be optimized so physical properties are either minimized or maximized, while satisfying equality inequality constraints. Alternatively, inverse design method was developed, which uses same chemical compositions able sustain specified level stress at given temperature length time. main benefits self-adapting response surface its outstanding reliability a...