Stress Optimization of Vent Holes with Different Shapes Using Efficient Switching Delayed PSO Algorithm

نویسندگان

چکیده

An effective integrated design optimization method is developed to reduce the maximum von Mises stress around vent holes of a high-pressure turbine sealing disk. It mainly includes four different shape designs (circular, elliptical, race-track, and four-arc) for holes, an updated self-developed modelling meshing tool, APDL-based strength analysis, self-proposed efficient switching delayed particle swarm (SDPSO) algorithm. The main idea SDPSO is: (1) by evaluating evolutionary factor utilizing probability transition matrix, non-homogeneous Markov chain determined auto-updated in each generation; (2) are used adaptively select inertia weight, acceleration coefficients, information adjust particle’s velocity. performance evaluated through two benchmark problems with constraints. results show that superior well-known PSO algorithms capability, numerical robustness, convergence speed. Furthermore, shapes. that: suitable valuable practical engineering constraints; advanced reducing holes; (3) four-arc hole has more tremendous advantages stress, followed elliptical hole, race-track circular hole.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2022

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app12115395