Zhou Zhilong, Liu Wei, Wu Qiong, Wang Yuxin, Yu Binchao, Yue Yi, Zhang Jiabo
Key Laboratory for Precision and Non-traditional Machining Technology of the Ministry of Education, Dalian University of Technology, Dalian 116024, China.
Beijing Spacecrafts, China Academy of Space Technology, Beijing 100094, China.
Sensors (Basel). 2020 Aug 27;20(17):4843. doi: 10.3390/s20174843.
Automated and high-accuracy three-dimensional (3D) shape measurement is required in quality control of large-size components for the aerospace industry. To eliminate the contradiction between global measurement and local precision measurement control in 3D digitalization for the key local features of the large-size components, a combined measurement method is proposed, including a 3D scanner, a laser tracker, and an industrial robot used as an orienting device, to achieve high-accuracy measurement. As for improving the overall measurement accuracy, an accurate calibration method based on coordinate optimization of common points (COCP) and coordinate optimization of global control points (COGP) is proposed to determine the coordinate systems. Firstly, a coordinate optimization method of common points (COCP) is recommended. Then, a coordinate optimization method of global control points (COGP) based on the angular constraint is proposed for minimizing the measurement errors and improving the measurement accuracy of the position and orientation of the 3D scanner. Finally, a combined measurement system is established, and validation experiments are carried out in laboratory within a distance of 4 m. The calibration experiment results demonstrate that the max and mean errors of the coordinate transformation have been reduced from 0.037 and 0.022 mm to 0.021 and 0.0122 mm. Additionally, the measurement experiment results also show that the combined measurement system features high accuracy.
航空航天工业大型部件的质量控制需要自动化且高精度的三维(3D)形状测量。为了消除大型部件关键局部特征在3D数字化过程中全局测量与局部精密测量控制之间的矛盾,提出了一种组合测量方法,包括一台3D扫描仪、一台激光跟踪仪和一台用作定向装置的工业机器人,以实现高精度测量。为了提高整体测量精度,提出了一种基于公共点坐标优化(COCP)和全局控制点坐标优化(COGP)的精确校准方法来确定坐标系。首先,推荐一种公共点坐标优化方法(COCP)。然后,提出了一种基于角度约束的全局控制点坐标优化方法(COGP),以最小化测量误差并提高3D扫描仪位置和方向的测量精度。最后,建立了组合测量系统,并在实验室4米距离内进行了验证实验。校准实验结果表明,坐标变换的最大误差和平均误差已从0.037毫米和0.022毫米降至0.021毫米和0.0122毫米。此外,测量实验结果还表明组合测量系统具有高精度。