Інтегрована система багатокритеріальної оптимізації та аналізу механізмів руйнування внутрішніх каналів охолоджуваних деталей

Increasing the thermodynamic efficiency of modern engines requires an increase in the temperature of the working fluid, which creates extreme thermal and mechanical loads on their parts. This paper presents an integrated computational system for multi-criteria optimization and analysis of the mechanisms of destruction of internal cooling channels of heat-loaded parts. The proposed methodology combines the analysis of conjugate heat transfer, thermomechanical analysis of the stress-strain state, as well as modeling the interaction of low-cycle fatigue and high-temperature creep based on the Coffin-Mainson equations and the Larson-Miller parameter using scientific Python libraries. To accelerate the optimization cycle, Gaussian process regression with active learning algorithms based on hypercube sampling was used, which allowed replacing labor-intensive CFD/FEA calculations. A preliminary numerical experiment and comparative analysis of four possible configurations of the internal channels of cooled parts were carried out: (1) a smooth basic one, (2) a classic one with ribs, (3) an optimized one with V-shaped ribs, and (4) a generative structure based on three-times periodic minimal surfaces for additive manufacturing. The results of multi-criteria optimization are formed in the form of three-dimensional surfaces that describe the compromise between metal temperature, pressure losses, and the mechanism of low-cycle fatigue failure. Several test calculations have demonstrated that the optimized geometric parameters provide a 23% reduction in stresses and an increase in resource potential compared to the basic ribs, while the gyroid TPMS structure demonstrates the highest thermal efficiency at the cost of increased hydraulic resistance. A concept for further development of a method for checking the conformity of samples of cooled parts on an experimental hydraulic stand for verification of calculated data and use in the educational process of design engineers is proposed.