摘要
采用共轭换热分析方法,实现了C3X型高温叶片的流热固耦合分析,计算结果与实验数据的比较验证了数值方法的可靠性。结合自适应多目标差分进化算法、多目标概念的约束处理方法和三维叶栅自动参数化造型方法,自主开发了适用于高温叶片的自动多目标多学科优化设计平台。以C3X型叶片为参考叶片,选择总压恢复系数最大和叶片最高温度最低为目标进行优化设计。优化后获得了21个Pareto解。详细气热分析表明优化设计得到的叶片性能明显优于参考叶片,验证了所建立的高温叶片多学科设计平台的有效性。
Applying Conjugate Heat Transfer,the heat-fluid-solid coupling analysis of C3 X high temperature cascade was carried out.The calculation seems to be satisfactory in comparison with the experimental results.Combined with Self-adaptive Multi-objective Differential Evolution algorithm(SMODE) and 3D blade modeling method,a multi-objective and multi-disciplinary optimization platform of high temperature cascade was built.The profile of C3 X cascade was optimized for the maximization of the total pressure recovery coefficient and minimum of highest temperature within the cascade.21 Pareto solutions were obtained.By comparing aerodynamic analysis of optimization solutions,the optimal design shows a much better performance than that of the reference design.It demonstrates that the optimization platform has good performance and reliability.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2014年第12期2367-2371,共5页
Journal of Engineering Thermophysics
基金
国家自然科学基金资助项目(No.51106123)
高等学校博士学科点专项科研基金(新教师类
No.20100201120010)
关键词
高温叶片
流热固耦合
多目标
多学科设计优化
high temperature blade
fluid-thermal-solid coupling
multi-objective
multi-disciplinary design optimization
