One of the main toxic components of post quenching salts formed in large quantities during steel hardening processes is BaCl2. This dangerous ingredient can be chemically neutralized after dissolution in water by means of reaction crystallization with solid ammonium sulphate (NH4)2SO4. The resulting size distribution of the ecologically harmless crystalline product - BaSO4 - is an important criteria deciding about its further applicability. Presence of a second component of binary quenching salt mixture (BaCl2-NaCl) in water solution, NaCl, influences the reaction-crystallization process kinetics affecting the resulting product properties. The experimental 39 input-output data vectors containing the information about the continuous reaction crystallization in BaCl2 - (NH4)2SO4 - NaCl - H2O system ([BaCl2]RM = 10-24 mass %, [NaCl]RM = 0-12 mass %, T = 305-348 K and τ = 900-9000 s) created the database for the neural network training and validation. The applicability of diversified network configurations, neuron types and training strategies were verified. An optimal network structure was used for the process modeling.
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W części doświadczalnej pracy, próbki stalowe poddano hartowaniu wiązką laserową i przeprowadzono badania metalograficzne. W oparciu o wyniki doświadczenia wykonano modelowanie tej obróbki za pomocą MES. W obliczeniach naprężeń zaproponowano i zastosowano metodę uwzględnienia zmiany struktury i właściwości mechanicznych materiału.
EN
In experimental part of presented work, steel specimens were treated with the laser beam and metallographic examinations were made. Results of this experiment were entered to FEM model of the laser surface hardening process. In stresses computations, described in this paper method of consideration of the material structural and mechanical properties changes was proposed and applied.
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