为满足轴流泵叶片的水力和结构性能,对轴流泵叶片采用基于i S I G H T的多学科设计优化。在确立叶栅稠密度及其沿展向变化规律、轮毂比和厚度比作为设计变量的基础上,建立了轴流泵叶片多学科协同优化模型,提出了协同优化算法在轴流泵叶...为满足轴流泵叶片的水力和结构性能,对轴流泵叶片采用基于i S I G H T的多学科设计优化。在确立叶栅稠密度及其沿展向变化规律、轮毂比和厚度比作为设计变量的基础上,建立了轴流泵叶片多学科协同优化模型,提出了协同优化算法在轴流泵叶片多学科设计优化过程中的改进方法,系统级采用约束松弛法,子系统级采用响应面法。经实例运行,证实了基于约束松弛的协同优化算法能够很好地解决轴流泵泵叶片设计中2个学科的耦合以及数据量大和数据关系复杂的问题。同时约束松弛法的引入又使得协同优化的计算收敛更快,可靠性更高。通过模型泵试验证实了多学科设计优化提高了轴流泵叶片的综合性能,可有效兼顾高效、轻量化的要求。展开更多
This paper introduced a robust parameter coordination method to analyze parameter uncertainties so as to predict conflicts and coordinate parameters in multidisciplinary design. The proposed method is based on constra...This paper introduced a robust parameter coordination method to analyze parameter uncertainties so as to predict conflicts and coordinate parameters in multidisciplinary design. The proposed method is based on constraints network, which gives a formulated model to analyze the coupling effects between design variables and product specifications. In this model, interval boxes are adopted to describe the uncertainty of design parameters quantitatively to enhance the design robustness. To solve this constraint network model, a general consistent algorithm framework is designed and implemented with interval arithmetic and the genetic algorithm, which can deal with both algebraic and ordinary differential equations. With the help of this method, designers could infer the consistent solution space from the given specifications. A case study involving the design of a bogie dumping system demonstrates the usefulness of this approach.展开更多
文摘为满足轴流泵叶片的水力和结构性能,对轴流泵叶片采用基于i S I G H T的多学科设计优化。在确立叶栅稠密度及其沿展向变化规律、轮毂比和厚度比作为设计变量的基础上,建立了轴流泵叶片多学科协同优化模型,提出了协同优化算法在轴流泵叶片多学科设计优化过程中的改进方法,系统级采用约束松弛法,子系统级采用响应面法。经实例运行,证实了基于约束松弛的协同优化算法能够很好地解决轴流泵泵叶片设计中2个学科的耦合以及数据量大和数据关系复杂的问题。同时约束松弛法的引入又使得协同优化的计算收敛更快,可靠性更高。通过模型泵试验证实了多学科设计优化提高了轴流泵叶片的综合性能,可有效兼顾高效、轻量化的要求。
基金National Natural Science Foundation of China(No. 60304015, No. 50575142)
文摘This paper introduced a robust parameter coordination method to analyze parameter uncertainties so as to predict conflicts and coordinate parameters in multidisciplinary design. The proposed method is based on constraints network, which gives a formulated model to analyze the coupling effects between design variables and product specifications. In this model, interval boxes are adopted to describe the uncertainty of design parameters quantitatively to enhance the design robustness. To solve this constraint network model, a general consistent algorithm framework is designed and implemented with interval arithmetic and the genetic algorithm, which can deal with both algebraic and ordinary differential equations. With the help of this method, designers could infer the consistent solution space from the given specifications. A case study involving the design of a bogie dumping system demonstrates the usefulness of this approach.
