数据驱动的两级轴流涡轮多自由度气动优化设计  

Aerodynamic optimization design with multiple degrees of freedom for a two-stage axial turbine based on data-driven

作　　者：郭艺璇 陈江[1] 刘熠 向航 GUO Yixuan;CHEN Jiang;LIU Yi;XIANG Hang(School of Energy and Power Engineering,Beihang University,Beijing 100091,China)

机构地区：[1]北京航空航天大学能源与动力工程学院,北京100091

出　　处：《推进技术》2024年第6期100-109,共10页Journal of Propulsion Technology

基　　金：“两机”国家科技重大专项(J2019-Ⅱ-0005-0025)。

摘　　要：针对涡轮气动优化过程中设计变量多、评估耗时长、传统完全替代精确函数评估的代理模型辅助算法全局搜索性较差等问题,采用基于预筛选策略的代理模型辅助差分进化算法(Pre-SADE),并结合直接操纵自由变形方法 (DFFD)实现多自由度参数化控制,建立了基于数据驱动的多级涡轮三维气动优化平台。以某两级轴流涡轮为研究对象,选取44个设计变量开展流道-叶片排联合气动优化设计。结果表明:优化后涡轮设计点等熵效率提高1.10%,流量增加2.16%,落压比降低0.94%,激波强度降低,径向二次流得到抑制,内部流动损失减小。此外,涡轮设计转速全工况特性均有所改善。该平台在保证优化效果的同时,可大幅减少设计变量和真实评估次数,有效适用于多级涡轮、多自由度气动优化问题。To address the challenges of having multiple design variables,long evaluation times,and poor global search capability of traditional surrogate-assisted algorithms that rely on complete substitution of accurate function evaluations in the turbine aerodynamic optimization process,a pre-screen surrogate model assistant differential evolution(Pre-SADE)was employed.This algorithm was combined with the directly manipulated freeform deformation(DFFD)method to achieve multi-degree-of-freedom parameterized control,resulting in a data-driven three-dimensional aerodynamic optimization platform for multi-stage turbines.Taking a two-stage axial turbine as the research object,44 design variables were selected for combined channel-blade row aerodynamic optimization design.The results show that after optimization,the turbine’s design point isentropic efficiency improves by 1.10%,flow rate increases by 2.16%,pressure ratio decreases by 0.94%.Besides,the shock wave intensity decreases,the radial secondary flow is suppressed,and the internal flow losses are reduced.Furthermore,the turbine’s design speed characteristics are improved under all operating conditions.This platform not only guarantees optimization effectiveness but also significantly reduces the number of design variables and real evaluations,making it suitable for multi-stage turbine aerodynamic optimization problems with multiple degrees of freedom.

关 键 词：多级轴流涡轮 气动优化 预筛选策略 差分进化算法 直接操纵自由变形技术 

分 类 号：V231.3[航空宇航科学与技术—航空宇航推进理论与工程]