基于BESO算法的涡轮盘拓扑优化

TOPOLOGY OPTIMIZATION OF TURBINE DISK BASED ON BESO ALGORITHM

涡轮盘作为航空发动机的核心部件之一,其轻量化设计对航空发动机效率提升至关重要。基于双向渐进结构优化算法(bidirectional evolutionary structural optimization,BESO)拓扑优化模型,使用灵敏度过滤的方法抑制棋盘格现象,用ANSYS的参数化设计语言(ANSYS parametric design language,APDL)编写拓扑优化程序,对离心载荷作用下的涡轮盘进行结构优化,并通过施加叶片等效载荷的方式,考虑叶片对于优化结果的影响。结果表明,使用编写的算法进行拓扑优化迭代步数减少,显著提升优化效率,在减重26%的条件下,拓扑出的新的结构模型结构总应变能降低48%,结构刚度提升,最大等效应力降低25%且应变能和应力分布更均匀合理。

The turbine disk is a core part of aeroengine,of which the lightweight design is essential to improve the efficiency of aeroengine.The structural optimization of turbine disk under centrifugal load is made based on the bidirectional evolutionary structural optimization(BESO)algorithm topology optimization model which is programed by parametric design language ANSYS APDL(ANSYS parametric design language),combined with sensitivity filtering method to suppress the checkerboard phenomenon,as well as considering the influence of blades on the optimization result by applying the same load as blade weight.The result shows that the BESO algorithm can reduce the number of topology optimization iteration steps and significantly improve the optimization efficiency.Under the condition of 26%weight reduction,the total strain energy is reduced by 48%,the structural stiffness is increased and the maximum equivalent stress is reduced by 25%,and also the strain energy distribution is more uniform for the new structural topology model.