涡轮叶片的气动-热-结构多学科设计优化研究

涡轮叶片设计是典型的多学科问题,在保证结果精度的同时必须重视计算效率.通过控制样本的数量和质量,近似模型能够在保证一定精度的前提下,简化多学科优化过程中的数据管理,并提高优化效率.通过分析涡轮转子叶片的气动-热-结构三个学科的设计过程和数据传递关系,充分利用各学科现有的分析工具,建立了涡轮叶片的气动-热-结构多学科优化设计框架.对某涡轮转子叶片分别使用Kriging近似模型和精确分析方法进行优化对比,可以看出两者的结果误差约为1.86%,而效率提高了将近46%,表明采用近似方法的优化结果在工程上是可用的,而且在计算效率更占优势.

Multi-disciplinary aero-dynamic-thermal-structure design optimization for turbine blade

Design of turbine blades is a typical multi-disciplinary issue on aero-dynamic analysis,thermal analysis and structure design optimization,aimed at ensuring the accuracy of the result and the computing efficiency.Approximate models could simplify data management,improve calculation efficiency and ensure the engineering precision by controlling the number and quality of sample.A framework on multi-disciplinary design optimization for turbine blades,which makes use of some professional tools in the areas,is proposed by analyzing the design process and the data transfer relations.By comparing the optimizations using the Kriging model and accurate analysis for a turbine blade,it shows that the result for approximate models is acceptable in engineering and the efficiency is higher.Furthermore,it also shows that the framework is feasible.