大涵道比涡扇发动机总体参数优化研究

为了改善传统的设计方法,获得最适当的总体参数,对某大涵道比涡扇发动机进行了优化。综合考虑了性能、结构、排放和噪声等多个学科,引入了总体与部件的协同设计思想;并通过探索总体与部件间的耦合协调机制及数据传递关系,提出了一种典型的优化策略;该策略将高维复杂较大的系统问题转化为3个易于处理的子系统问题。此外,基于Isight软件建立了对应的优化平台。经过15 362 s计算,优化收敛结束,共得到了782个可行解,包括133个Pareto解。表明提出的优化方法具有"先优化后决策"的优点,能够快速有效地得到系统最优解,能够综合考虑性能、结构、排放和噪声等多个学科;能够有效平衡5个冲突的指标,进而得到适当的总体参数。

An Optimization Study for Population Parameters of a High-Bypass-Ratio Turbofan Engine

In order to improve the traditional design method and obtain the optimal population parameters, an optimization study for a high-bypass-ratio turbofan engine was conducted in this paper. Multiple disciplines like performance, structure, emissions and noise were considered and the collaborative design between the engine system and components were taken into account. A typical optimization strategy was proposed by exploring the relationship of data transmission as well as the coupling and coordination mechanism between the system and components. The complex high-dimensional system problem was divided into three subsystem problems. Besides, the optimization platform was established with help of the Isight software. The optimization was convergent after 15362 seconds. As a result, 782 feasible solutions were obtained. In details, there were 133 Pareto solutions among these feasible solutions. Through the research, the following conclusions were drawn: The optimization strategy proposed in this paper can rapidly and effectively obtain the global optimal solution of the system. In addition, the proposed strategy can comprehensively consider various disciplines like performance, structure, emission and noise. Moreover, the appropriate population parameters can be obtained by effectively balancing five conflicting indicators.