APPLICATION OF FUZZY LOGIC THEORY TO THERMODYNAMIC MODELING OF PHASE EQUILIBRIUM AND OXIDATION-REDUCTION REACTIONS

The paper analyzes the works on optimization of thermodynamic equations of heterogeneous equilibrium using a multi-objective genetic algorithm (MGA) for calculation and multi-3D modeling of liquidus surfaces, boundaries of stable and metastable states of solid solutions of chalcogenide systems YbTe–SnTe, SnTe–Sb2Te3, Bi2Te3–Sb2Te3–PbTe, SnSb2Te4, SnSb4Sb7, Tl9SmTe6–Tl9BiTe6 and Tl9SmTe6–Tl8PbTe3–Tl9BiTe6, BiI3–Bi2S3–Bi2Te3 of interest for semiconductor technology, U–Nb alloys of interest as nuclear fuel for fast breeder reactors, H2O-MMA (methyl methacrylate) and H2O-furfural systems exhibiting heteroazeotropic behavior. Temperature-concentration dependences of the Gibbs energy of formation of solid solutions from binary compounds, as well as from ternary compounds, are determined using a subregular model of solutions of non-molecular compounds as applied to telluride systems. The uncertainty ranges of temperature and pressure for direct reduction of magnetite to free iron and oxidation of V+3 to V+3 in titanomagnetite concentrate granules by a mixture of natural gas and hydrogen are determined. The conditions for the precipitation process of aluminum hydroxide from aluminate solutions based on fuzzy logic theory are revealed