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2025, 05, v.43 10-16
基于PC-Kriging模型的航空发动机篦齿封严泄漏特性优化
基金项目(Foundation): 河南省科技攻关项目(242102220042); 2024年度河南省高校重点科研项目(24A590004)
邮箱(Email):
DOI: 10.19327/j.cnki.zuaxb.1007-9734.2025.05.002
摘要:

基于PC-Kriging模型对直通型篦齿封严结构的泄漏特性进行优化研究,以降低泄漏流量、提升封严性能。在固定计算域长度和齿顶间隙的条件下,通过独立设计各齿的齿顶宽度、齿底宽度及前倾角参数,实现篦齿模型的参数化建模。利用CFD(Computational Fluid Dynamics,计算流体动力学)仿真获取样本数据,构建PC-Kriging代理模型,并结合粒子群优化算法进行优化。研究结果表明,优化后篦齿的换算流量相比优化前降低了17.493%,验证了优化方法的有效性。优化后的齿型变化符合封严特性优化需求,进一步提升了密封性能。PC-Kriging模型结合粒子群优化算法可高效准确地优化篦齿封严结构,为降低泄漏量、提高航空发动机密封性能提供了新的思路。

Abstract:

This paper investigates the leakage optimization of straight-through labyrinth seals based on the PCKriging model to reduce leakage flow and improve sealing performance. Under the conditions of a fixed computational domain length and tooth tip clearance, a parameterized modeling approach is adopted by independently designing the tip width, root width, and inclination angle of each tooth. CFD simulations are utilized to obtain sample data, which is then used to construct a PC-Kriging surrogate model. The Particle Swarm Optimization(PSO) algorithm is applied to optimize the seal structure. The results show that the equivalent leakage flow rate is reduced by 17.493% after optimization, verifying the effectiveness of the proposed method. The optimized tooth profile meets the sealing performance requirements, further enhancing the sealing effect. The study demonstrates that the combination of the PC-Kriging model and the PSO algorithm can efficiently and accurately optimize labyrinth seal structures, providing new insights for reducing leakage and improving the sealing performance of aero-engines.

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基本信息:

DOI:10.19327/j.cnki.zuaxb.1007-9734.2025.05.002

中图分类号:V263.6

引用信息:

[1]张翔,徐德成,张忠智,等.基于PC-Kriging模型的航空发动机篦齿封严泄漏特性优化[J].郑州航空工业管理学院学报,2025,43(05):10-16.DOI:10.19327/j.cnki.zuaxb.1007-9734.2025.05.002.

基金信息:

河南省科技攻关项目(242102220042); 2024年度河南省高校重点科研项目(24A590004)

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