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兵工学报 ›› 2023, Vol. 44 ›› Issue (8): 2432-2440.doi: 10.12382/bgxb.2022.0239

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复杂型面构件超声检测中机械回程误差的修正方法

张荣繁1,*(), 倪培君1, 郭智敏1,2, 杨卓琳1, 付康1   

  1. 1.中国兵器科学研究院宁波分院 理化检测中心, 浙江 宁波 315103
    2.西北工业大学 机电学院, 陕西 西安 710072
  • 收稿日期:2022-04-01 上线日期:2023-08-30
  • 通讯作者:
  • 基金资助:
    浙江省基础公益研究计划项目(LGG20E010001); 浙江省基础公益研究计划项目(LGC19E010001)

Correction Method of Mechanical Backlash Error in Ultrasonic Testing of Curved Components

ZHANG Rongfan1,*(), NI Peijun1, GUO Zhimin1,2, YANG Zhuolin1, FU Kang1   

  1. 1. Physical Testing & Chemical Analysis Center, Ningbo Branch of China Academy of Ordnance Science, Ningbo 315103, Zhejiang, China
    2. School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China
  • Received:2022-04-01 Online:2023-08-30

摘要:

针对复杂型面构件超声自动检测过程中,机械系统各轴回程误差对探头位姿精度、成像质量及检测灵敏度影响的问题,研究了回程误差的识别与路径修正方法,提出一种利用C扫描图像错位锯齿量分析的回程误差测量方法。通过平面试块和棒材试块边界线单轴为主运动的C扫描成像中错位锯齿量,建立与各轴回程误差值的关系;研究利用运动学逆解实现扫描点位关节变量和探头位姿的修正方法。通过某型号复杂型面构件试块进行路径修正前后的对比扫描实验,从成像质量、图元错位情况及检测灵敏度方面验证了该方法的有效性。

关键词: 超声检测, C扫描成像, 回程误差, 路径修正

Abstract:

In the process of automatic ultrasonic detection of complex surface components, the backlash error of each axis of the mechanical system has an badly impact on the probe pose accuracy, image quality and detection sensitivity. In order to solve this problem, the method of identifying and correcting the backlash error is studied in this paper, and a method of measuring the backlash error based on the analysis of the misalignment of C-scan images is proposed. When C-scan imaging of the boundary lines of planar and bar specimens using single axis motion as the main motion, the relationship between the backlash error values of each axis and the amount of misalignment sawtooth in the C-scan image is established. The method of correcting the scanning point joint variables and probe posture using inverse kinematics solutions is studied. The effectiveness of this method is verified through comparative scanning experiments before and after path correction on a certain type of complex surface component test block in terms of imaging quality, element misalignment, and detection sensitivity.

Key words: ultrasonic testing, C-scan imaging, backlash error, path correction

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