摘要
涡轮是船舶余热回收发电系统的核心部件,其性能直接影响系统功率输出。本文面向有机朗肯循环的径流式涡轮,构建了一涡轮参数化多学科协同优化设计平台,实现了参数化建模、气动计算、背盘设计、结构校核及模态计算的全流程自动化。优化过程采用21个设计变量,以提升效率和输出功率为目标,约束流量变化在±2%以内,并确保结构应力、形变满足材料要求,无共振风险。结果表明:优化构型在保持流量一致前提下,效率显著提升2.3%;最大应力35.21MPa、形变0.15mm,满足材料及运行要求,叶轮在1~5倍频内均无共振风险,证明了该多学科协同优化平台在涡轮设计中的有效性。
Radial turbine is the core of marine waste heat recovery power generation technology,and its performance directly affects the recovered power.In this paper,a platform of aerodynamic performance optimization and structural verification for ORC(Organic Rankine Cycle)radial turbine is proposed.The platform automatically realizes processes such as geometry parameterization of turbine,mesh generation,three-dimensional aerodynamic calculation,back-disc geometry design,and structural calculation.The results of aerodynamic and structural calculations are analyzed automatically via this platform.The optimization process incorporates 21 design variables,with the objectives of enhancing efficiency and output power,while constraining the mass flow variation within±2%and ensuring that structural stress and deformation comply with material requirements without resonance risk.Results demonstrate that the optimized configuration achieves an efficiency improvement of 2.3%while maintaining consistent mass flow.The maximum von Mises stress is 35.21 MPa and the deformation is 0.15 mm,both satisfying material and operational requirements.Furthermore,modal analysis confirms no resonance risk within 1~5 times the operating frequency,validating the effectiveness of the proposed multidisciplinary optimization platform in turbine design.
作者
薛颖娴
王金亭
楼佳颖
丁一
李静芬
Ying-xian Xue;Jin-ting Wang;Jia-ying Lou;Yi Ding;Jing-fen Li(Shanghai Marine Diesel Engine Research Institute;National Engineering Research Center of Special Equipment and Power System for Ship and Marine Engineering)
出处
《风机技术》
2025年第6期8-15,22,共9页
Chinese Journal of Turbomachinery
基金
七一一所所发基金项目透平膨胀发电机组关键设计技术改进研究(H2022BFZ-04-DZ06)。
关键词
径流涡轮
船舶余热回收
多学科协同
参数化设计
性能优化
Radial Turbine
Marine Waste Heat Recovery
Multidisciplinary Study
Parametric Design
Performance Optimization
