摘要
为获得涡轮叶片精铸位移场进行模具型腔优化,需要对叶片进行测量评估。由于精铸工艺系统误差和随机误差的影响,单个叶片并不能精确的表征叶片变形量;为此,需要针对一批叶片进行测量评估,从而获得统计意义下的精铸位移场,这其中主要的难点即为多样本测量数据的融合问题。为此,本文提出并研究了一种基于最短路径准则的涡轮叶片多样本测量数据融合方法,通过建立数据点融合模型,实现了多样本数据的统计学建模,从而有效的消除了制造系统误差对精铸位移场的影响,并进行了实例验证。
In order to obtain the displacement field of investment casting in die cavity optimization, it is necessary to measure and evaluate the deformation of turbine blade. Due to the influence of systemic and random error of casting process, single turbine blade cannot represent the deformation appropriately. Hence, a group of turbine blades should be measured to estimate the random error in fabrication process. Multi-measuring data integration is the key problem to obtain the statistic displacement field. Aiming at the problem, a minimum path based on integration method was proposed in this study. A mathematical model was established and demonstrated to achieve the purpose of data integration.
作者
张强
蒋睿嵩
汪文虎
赵德中
ZHANG Qiang JIANG Ruisong WANG Wenhu ZHAO Dezhong(The Key Laboratory of Advanced High Temperature Structural Materials, Beijing Institute of Aeronautical Materials, Beijing 100095, China The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi＇an 710072, China)
出处
《铸造技术》
CAS
北大核心
2017年第4期974-977,共4页
Foundry Technology
基金
国家自然科学基金资助项目(51475374
51505387)
中央高校基础研究基金资助项目(3102015ZY087)
关键词
涡轮叶片
测量评估
精铸位移场
数据融合
多样本
turbine blade
measurement ＆ evaluation
displacement field of investment casting
data integration
multi-samples
