• Laser & Optoelectronics Progress
  • Vol. 57, Issue 19, 191204 (2020)
Long Ma1、*, Ruijie Qian1, Yuzhe Liu1, Hongyue Xu2, Xin Pei1, and Fengming Sun1
Author Affiliations
  • 1Sino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, China
  • 2SHINING 3D Technology Co., Ltd., Hangzhou, Zhejiang 311258, China
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    DOI: 10.3788/LOP57.191204 Cite this Article Set citation alerts
    Long Ma, Ruijie Qian, Yuzhe Liu, Hongyue Xu, Xin Pei, Fengming Sun. HSI Model-Based Three-Dimensional Rapid Measurement Method for Aero-Engine Blades[J]. Laser & Optoelectronics Progress, 2020, 57(19): 191204 Copy Citation Text show less

    Abstract

    To satisfy the high-precision and high-efficiency measurement requirements of aero-engine blades, a fast three-dimensional measurement method based on the HSI (hue, saturation, intensity) color model is proposed herein. First, the HSI model is analyzed to design a structured light-based three-dimensional measurement system, and a look-up table (LUT) based color correction method is employed to correct the color crosstalk and calibrate the mapping relationship between hue and depth. The proposed approach uses only one color pattern to obtain the hue of a package. A color-coded color bar image is used on the discontinuous surface to recognize the fringe level and then complete the hue unwrapping. The feasibility of the proposed method is verified by simulation. Finally, the three-dimensional measurement of the rotor blades of a high-pressure aero-engine compressor is performed, and the efficiency of the proposed method is compared with that of the conventional method of obtaining the wrapped phase and unwrapping. Experimental results show that the proposed method satisfies the measurement requirements of aero-engine blades and can improve measurement efficiency.
    Long Ma, Ruijie Qian, Yuzhe Liu, Hongyue Xu, Xin Pei, Fengming Sun. HSI Model-Based Three-Dimensional Rapid Measurement Method for Aero-Engine Blades[J]. Laser & Optoelectronics Progress, 2020, 57(19): 191204
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