刀(考古)
涡轮叶片
曲面(拓扑)
响应面法
计算机科学
涡轮机
稳健优化
数学优化
控制理论(社会学)
数学
工程类
结构工程
机械工程
人工智能
控制(管理)
几何学
机器学习
作者
Zhiying Chen,Ping Zhou
出处
期刊:IOP conference series
[IOP Publishing]
日期:2017-11-01
卷期号:269: 012066-012066
被引量:1
标识
DOI:10.1088/1757-899x/269/1/012066
摘要
Considering the robust optimization computational precision and efficiency for complex mechanical assembly relationship like turbine blade-tip radial running clearance, a hierarchically response surface robust optimization algorithm is proposed. The distribute collaborative response surface method is used to generate assembly system level approximation model of overall parameters and blade-tip clearance, and then a set samples of design parameters and objective response mean and/or standard deviation is generated by using system approximation model and design of experiment method. Finally, a new response surface approximation model is constructed by using those samples, and this approximation model is used for robust optimization process. The analyses results demonstrate the proposed method can dramatic reduce the computational cost and ensure the computational precision. The presented research offers an effective way for the robust optimization design of turbine blade-tip radial running clearance.
科研通智能强力驱动
Strongly Powered by AbleSci AI