A multi-objective optimization method for brush seal structure

Abstract

The invention discloses a multi-objective optimization method of a brush seal structure. The multi-objective optimization method of the brush seal structure comprises the following steps: a to-be-optimized parameter of the seal structure is selected, and the optimization range of the to-be-optimized parameter is determined; a fitness function is constructed with the least leaking and the lowest wearing as optimization objectives; a variable working condition experiment is performed, and a data sample of a support vector machine is made; parameters of the support vector machine are trained on the basis of a training sample, and a support vector machine delegation model of the brush seal structure is established; the brush seal structure is optimized with a genetic algorithm, and the optimal value of the to-be-optimized parameter is determined. The multi-objective optimization method overcomes defects of existing single-objective optimization methods of the brush seal structure, the delegation model is high in precision, and the global optimization capacity is high, and the robustness is high.

Description

technical field [0001] The invention belongs to the technical field of brush seals, in particular to a multi-objective optimization method suitable for brush seal structures. Background technique [0002] Low fuel consumption, high thrust-to-weight ratio, high reliability and durability are the development trends of modern aviation gas turbine engines. However, the internal temperature and pressure ratio of the engine are increasing year by year, which makes the leakage problem of the internal flow system more and more serious. In order to reduce leakage loss and improve the overall performance of the engine, it is particularly important to use high-efficiency sealing devices. The brush seal technology has gradually developed and matured since the early 1980s. It is a new type of sealing technology with excellent performance. Under the same conditions, the leakage level of the brush seal is only 50% of the typical grate seal structure. Even 20-10%. Therefore, only changing...

AI Technical Summary

Problems solved by technology

However, the improvement of the sealing performance will be at the cost of reducing the wear resistance. For example, the increase of the diameter of the brush filament will reduce the wear, but it will cause the decline of the sealing performance. The increase of the number of brush filament layers will inhibit the leakage, but accelerate the wear

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