An efficient automated measurement method for aero-engine fan blade geometric parameters

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Measurement Pub Date : 2024-11-16 DOI:10.1016/j.measurement.2024.116241
Ze Chen, Yingjie Mei, Chuanzhi Sun, Yongmeng Liu, Jiubin Tan
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Abstract

The length of aero-engine fan blades usually exceeds 1 m, making contact-based coordinate measuring machines (CMM) costly and time-consuming. To enhance measurement efficiency and accuracy, we developed a large-field flexible measurement system. We propose the system calibration method using a standard sphere as the reference and taking the turntable axis into account. A model-driven path planning and multi-view data fusion (MVDF) strategy was introduced to enhance efficiency and reduce misalignment due to the robotic arm’s lower positioning accuracy. To improve cross-sectional data sorting and thinning, we proposed an adaptive threshold synchronous sorting and noise suppression method. Additionally, we developed algorithms for chord length and maximum thickness extraction to streamline the process. Experiments show improved accuracy for blade thickness (0.092 mm) and chord length (0.096 mm).
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航空发动机风扇叶片几何参数的高效自动测量方法
航空发动机风扇叶片的长度通常超过 1 米,这使得接触式坐标测量机 (CMM) 既昂贵又耗时。为了提高测量效率和精度,我们开发了一种大视场柔性测量系统。我们提出了以标准球体为基准并考虑转盘轴线的系统校准方法。我们引入了模型驱动的路径规划和多视角数据融合(MVDF)策略,以提高效率并减少因机械臂定位精度较低而造成的偏差。为了改进横截面数据分类和减薄,我们提出了一种自适应阈值同步分类和噪声抑制方法。此外,我们还开发了弦长和最大厚度提取算法,以简化流程。实验表明,叶片厚度(0.092 毫米)和弦长(0.096 毫米)的精确度得到了提高。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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