基于遗传算法的汽轮机转子多级叶片不平衡量优化方法研究

Optimization Method of Multi-stage Blade Unbalance in Steam Turbine Rotor based on Genetic Algorithm

为降低汽轮机转子叶片及轮盘在安装过程中带来的残余不平衡量,基于遗传算法的快速寻优功能提出,通过调节对每级叶片的排列顺序以及各级叶轮之间的相对安装角,优化转子不平衡的方法,并以某型汽轮机转子的叶片及轮盘的安装工艺为例展开优化研究。案例研究表明:优化后,第七级、第八级和第九级叶片的不平衡力分别是优化前的3.17×10^(-5),6.80×10^(-7)和6.85×10^(-5)倍,优化后转轴整体的不平衡力为1.26 N,水平力矩为0.29 N·m,垂直力矩为0.52 N·m。该方法能够有效降低转子的不平衡力和不平衡力矩,可为叶片安装过程提供理论支撑。

To reduce the residual unbalance caused by blade and disk installation of steam turbine rotor,based on the fast optimization function of genetic algorithm,a method was proposed to optimize the unbalance of the rotor by reasonably adjusting the arrangement order of the blades and the relative installation angle between the wheels,and the optimization research was carried out through taking the installation technology of the blades and wheels of a certain type of steam turbine rotor as an example.The research results show that after optimization,the unbalanced forces of the seventh,eighth and ninth stage blades are 3.17×10^(-5),6.80×10^(-7) and 6.85×10^(-5) times of those before optimization respectively,and the unbalanced force,horizontal moment and vertical moment of the entire rotating shaft are 1.26 N,0.29 N·m and 0.52 N·m.The method can effectively reduce the unbalance force and unbalance moment of the rotor,and provide the theoretical support for the blade installation process.