• Laser & Optoelectronics Progress
  • Vol. 59, Issue 5, 0512003 (2022)
Chentao Liang1, Ping Wu2、*, Wei Zhao1, Hualong Zhao1, and Xiufeng Xi1
Author Affiliations
  • 1Photon Manufacturing System and Application Research Center, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an , Shaanxi 710119, China
  • 2Xi'an Micromach Technology Co., Ltd., Xi'an , Shaanxi 710119, China
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    DOI: 10.3788/LOP202259.0512003 Cite this Article Set citation alerts
    Chentao Liang, Ping Wu, Wei Zhao, Hualong Zhao, Xiufeng Xi. Nozzle Location Technology for Multifeature Point Matching of Complex Surfaces[J]. Laser & Optoelectronics Progress, 2022, 59(5): 0512003 Copy Citation Text show less

    Abstract

    The traditional method for locating and establishing a coordinate system for fuel injection nozzle processing of automobile nozzles uses tooling fixtures. Because the manufacturing accuracy and installation error of tooling fixtures will result in a large deviation between measured aperture, hole shape, and hole position and theoretical values affecting the reliability of fuel injection nozzle; moreover, the performance of the diesel engine, stability of emission targets, and reliability of the diesel engine produce a substantial influence. Based on these, we propose a high-precision adaptive location technology based on a multifeature point matching algorithm. By measuring the spatial position of several feature points (at least six feature points) on a real automobile nozzle, the precise positioning parameters of the actual automobile nozzle and theoretical model in the machine tool's coordinate system are calculated based on the measurement date of feature points given in the three dimensional model. The automobile nozzle's all-generation hole machine parameters are then calculated. The experimental results show that the locating accuracy is less than 0.1 mm. The location technology can effectively reduce the hole machining deviation, which is an effective and feasible solution to improve the automobile nozzle location accuracy.
    Chentao Liang, Ping Wu, Wei Zhao, Hualong Zhao, Xiufeng Xi. Nozzle Location Technology for Multifeature Point Matching of Complex Surfaces[J]. Laser & Optoelectronics Progress, 2022, 59(5): 0512003
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