The studied nanocomposite was Ti(C,N)-SiC-Si₃N₄-C powder, produced by a sol-gel method. The main aim of the investigation was the selection of optimal parameters for annealing of the multiphase composites, in order to eliminate carbon vacancies and oxygen atoms. This approach was applied to obtain maximal stoichiometric composition of investigated phases, retaining minimal nanocrystallite size. Optimal conditions of the annealing of Ti(C,N)-SiC-Si₃N₄-C nanocomposite were determined on the base of  a kinetic analysis of this process. The analysis was performed with application of the Coats-Redfern equation. Artificial Neural Networks were used to the direct assessment of experimental data and identification of kinetic models and parameters. Nanoparticle size, dispersion and phase composition before and after heat treatment were determined with HRTEM, SEM, XPS, XRD methods and total carbon analysis. TG measurements were carried out on samples heated in argon atmosphere up to 1773 K. Gaseous products were identified using MS while solid products by XRD and HRTEM techniques.

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1. Design principles and manufacturing approaches in carbide-carbon hetero-modulus ceramics