论文:2019,Vol:37,Issue(4):767-773
引用本文:
卜昆, 张现东, 任帅军, 邱飞, 田国良. CMM采样点对涡轮叶片特征参数检测精度的影响[J]. 西北工业大学学报
BU Kun, ZHANG Xiandong, REN Shuaijun, QIU Fei, TIAN Guoliang. Research on Influence of CMM Sampling Points on Detection of Feature Parameters for Turbine Blade[J]. Northwestern polytechnical university

CMM采样点对涡轮叶片特征参数检测精度的影响
卜昆, 张现东, 任帅军, 邱飞, 田国良
西北工业大学 机电学院, 陕西 西安 710072
摘要:
采样点规划是涡轮叶片三坐标测量的必要步骤,特征参数是涡轮叶片的重要检测内容之一。但目前,采样点分布对涡轮叶片特征参数检测精度的影响研究尚处于空白。针对此问题,给出了涡轮叶片特征参数的计算方法并开发了相应软件;基于杠杆平衡原理,研究了适用于自由曲线曲面的均匀采样、曲率采样、弦公差采样、加权曲率采样和曲率-弧长采样算法。通过测量仿真与实验,研究了这5种采样算法对涡轮叶片叶型特征参数计算精度的影响;结果表明:采用曲率-弧长采样算法得到的叶型特征参数的计算误差和叶型曲线拟合误差均小于其他4种采样算法。
关键词:    涡轮叶片    特征参数    中弧线    壁厚    采样   
Research on Influence of CMM Sampling Points on Detection of Feature Parameters for Turbine Blade
BU Kun, ZHANG Xiandong, REN Shuaijun, QIU Fei, TIAN Guoliang
School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
Sampling plan is an essential part for measuring profile of turbine blade with coordinates measuring machine(CMM), and the detection of feature parameters is a key component of turbine blade inspection. However, the influence of the sampling strategy on the blade feature parameters evaluation has been rarely studied. In order to understand the correlation between the sampling strategy and the accuracy of blade profile feature parameters, firstly, the extraction methods of turbine blade feature parameters were proposed, and these methods were compiled into an executable program TBGeoInspect. Secondly, based on the level principle, the unified mathematical representations of uniform sampling, curvature-based sampling, chord deviation sampling, weighted curvature-based sampling, and curvature-arc length sampling were given. The effect of these five sampling algorithms on the accuracy of turbine blade profile feature parameters was gained through simulation and experiment results of blade sampling. The results validate that the uncertainty of turbine blade feature parameters and sectional curve fitting error are lowest with curvature-arc length sampling method under the same number of sampling points.
Key words:    turbine blade    feature parameter    mean camber line    wall thickness    sampling strategy   
收稿日期: 2018-09-30     修回日期:
DOI: 10.1051/jnwpu/20193740767
基金项目: 国家自然科学基金(51371152)资助
通讯作者:     Email:
作者简介: 卜昆(1965-),女,西北工业大学教授、博士生导师,主要从事CADCAM、精铸模具设计研究。
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