An Improved ICP Registration Algorithm Based on CMM Measurement Data of Blade Section Line

被引：1
|
作者：
Lin X. [1 ]
Wu G. [1 ]
Shan X. [1 ]
Zhang Y. [1 ]
Cui T. [1 ]
Hu L. [2 ]
Yu J. [2 ]
机构：
[1] Laboratory of Aero-engine High Performance Manufacturing, Northwestern Polytechnical University, Xi'an
[2] AECC Xi'an Aero-engine Ltd., Xi'an
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2020年 / 56卷 / 02期
关键词：
Blade; Coordinate measuring machine; ICP registration; Search closest point;
D O I：
10.3901/JME.2020.02.001
中图分类号：
学科分类号：
摘要：
Rapid and accurate detection of blades is the key to ensure the machining quality. The registration between the coordinate measuring machine (CMM) measurement data and the theoretical model data is an important step. Aiming at the low registration accuracy of the traditional iterative closest point (ICP) registration algorithm, an improved ICP registration algorithm based on the CMM measurement data of the blade section line is proposed. The minimum distance between the measurement point and the theoretical curve is taken as the objective function to obtain the nearest point. First, calculating the corresponding nearest points of each measurement points in the theoretical sets, then the cubic spline is used to interpolate the nearest point and its nearby theoretical points, finally the nearest point of spline is obtained to measurement points and this point is taken as the nearest point; In this method, when the corresponding nearest point of measurement point in theoretical sets is obtained, we can get the corresponding closest points of other measuring points in theoretical sets at the same time and avoid all traversal search calculation. Validated and compared by some examples, it shows that the improved algorithm is effective and the precision is high. © 2020 Journal of Mechanical Engineering.
引用
收藏
页码：1 / 8
页数：7
相关论文
共 27 条
  • [1] Lu B., Cheng Y., Profile tolerance constrained registration method for blade model, Computer Integrated Manufacturing Systems, 22, 8, pp. 1831-1836, (2016)
  • [2] Zhang X., Bu K., Dong Y., Et al., Fast and accurate locating method for sculptured surfaces measured with coordinate measuring machines based on iterative algorithm, Journal of Aerospace Power, 33, 10, pp. 2525-2532, (2018)
  • [3] Wang Z., He X., Fast compensation method for probe radius of coordinate measurement machine, Process Automation Instrumentation, 39, 10, pp. 96-98, (2018)
  • [4] Chen Z., Research of cross-sectional feature parameter extraction of blade based on measurement data, (2007)
  • [5] Gong Z., Research of blade multi-measurement data integration and deviation analysis, (2009)
  • [6] Cheng Y., Zhang D., Bu K., Et al., Hollow turbine blade 3D wall-thickness analysis based on its ICT measurement data, Journal of Mechanical Strength, 31, 5, pp. 791-796, (2009)
  • [7] Zhu Z., Research on constrained alignmen-tmethod for blade measurement data, (2014)
  • [8] Wang R., Introduction of Advanced Manufacturing Technology, (2004)
  • [9] Ji G., Survey on genetic algorithm, Computer Applications and Software, 21, 2, pp. 69-73, (2004)
  • [10] Wu F., Qian Z., Hang Q., Et al., Principal axes algorithm based on image contour applied to medical image registration, Journal of the Fourth Military Medical University, 22, 6, pp. 567-569, (2001)
123