摘要
以汽轮机叶片设计优化为对象,研究叶片设计优化中智能主模型技术及其内涵,采用参数化形状控制模型、设计知识描述模型、型线数据库、仿真分析模型以及特征/几何混合模型等表示叶片智能主模型,并基于叶片智能主模型,提出了叶片综合设计优化技术的实现途径。
The intelligent master model (IMM) of multi-disciplinary optimization (MDO) of turbine blade is investigated in this paper, the IMM model that employs parametric and product control structure (PCS) model, knowledge-based context model, airfoil shape database, FEA &CFD model and mixed model of feature/geometry. The engineering system configura- tion method of IMM-based multi-disciplinary optimization of turbine blade is also presented in this paper.
出处
《汽轮机技术》
北大核心
2008年第1期16-19,共4页
Turbine Technology
关键词
智能主模型
汽轮机叶片
多学科综合优化
intelligent master model (Inn)
turbine blade
multi-disciplinary optimization (MDO)