摘要
阻尼叶片在非谐调扰动下产生振动局部化,严重威胁透平机组的运行安全。提出了一种基于蚁群算法的非谐调阻尼叶片组合优化减振方法,该方法可显著降低叶片振动应力。首先,对某透平阻尼叶片建立数值分析模型,获得在随机非谐调排布下的振动局部化特性,得到振动应力分布。然后,取整圈叶片的最大Von-Mises应力作为优化目标,采用组合优化方法对振动应力进行优化。结果表明,优化后振动应力降低了22.1%,应力幅值曲线接近谐调排布结果,证明了所提出的组合优化方法高效可靠。
The vibration localization caused by mistuned perturbation acting on damped blade is a serious threat to operational safety of turbine system.Therefore,the optimization of blade vibration is very important.A combinatorial optimization method for vibration reduction of mistuned damped blade based on ant colony algorithm is proposed in this study,with a significant effect on decreasing vibration stress.First,the numerical modeling of dry friction damped blades of a turbine is carried out,and an analysis of vibration characteristics of blades subjected to random mistuning perturbation is performed.The distribution of vibration stress is also exhibited.Then,with the maximum Von-Mises stress in integral shrouded blades as optimization objective,the combination optimization method is applied to the optimization of vibration stress.The results show that the resonance stress is decreased by 22.1%after optimization,and stress curve is close to that of tuned results.The proposed optimization method is proved to be effective and reliable.
作者
赵伟
刘天源
谢永慧
张荻
ZHAO Wei;LIU Tianyuan;XIE Yonghui;ZHANG Di(School of Energy and Power Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
出处
《热力透平》
2018年第2期110-115,共6页
Thermal Turbine
关键词
透平叶片
干摩擦阻尼
非谐调
组合优化
振动应力
turbine blade
dry friction damping
mistuning
combinatorial optimization
vibration stress
