Researchers have used the CALPHAD method to solve the forward phase stability problem of mapping from specific thermodynamic conditions (material composition, temperature, pressure, etc.) to the associated phase constitution. Recently, optimization has been used to solve the inverse problem: mapping specific phase constitutions to the thermodynamic conditions that give rise to them. These point-wise results, however, are of limited value since they do not provide information about the forces driving the point to equilibrium. In this article, we investigate the problem of mapping a desirable region in the phase constitution space to corresponding regions in the space of thermodynamic conditions. We term this problem the Generalized Inverse Phase Stability Problem (GIPSP) and model the problem as a Continuous Constraint Satisfaction Problem (CCSP). In this article, we propose a new CCSP algorithm tailored for the GIPSP. We investigate the performance of the algorithm on an Fe-Ti binary alloy system using ThermoCalc with the TCFE7 database against a related algorithm. The algorithm is able to generate solutions for this problem with high performance
A Constraint Satisfaction Algorithm for the Generalized Inverse Phase Stability Problem
2016
Aufsatz (Zeitschrift)
Englisch
BKL: | 50.15 Konstruktionslehre / 52.20 Antriebstechnik, Getriebelehre / 52.15 Maschinenelemente, Maschinenbaugruppen | |
Lokalklassifikation TIB: | 770/5315/5330 |
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