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A Geometric Errors Identification Method for the Rotating Axis of Five-Axis Welding Equipment
Xianxing Tang,Haibo Zhou,Tianying Xu 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.8
This paper deals with the problems of high detection cost and low detection efficiency in geometric errors identification of five-axis welding equipment, proposing a new method for rotating axis equipment, based on screw theory and monocular vision. In this paper, a low-cost and high-precision pose measurement method is first proposed, while the screw theory is used to establish a kinematics model for five-axis welding equipment. Furthermore, an identification method for the kinematics parameters and geometric errors of the rotating axis is proposed. In order to verify the validity and feasibility of the proposed identification scheme, the high detection accuracy of the pose detection system is first verified. Following, the significant improvement of the motion accuracy, after geometric errors identification, is verified, based on sampling within the working range of the five-axis welding equipment. The experimental results show that, the average value of the relative direction error of the five-axis welding equipment is reduced from 0.5427°, prior to identification, to 0.0478°, post identification, while the average value of the relative position error is reduced from 0.1472 to 0.0174 mm, respectively. Therefore, the identification scheme is proven can effective in identifying the geometric errors for the rotating axis, while it significantly improves the motion accuracy of the five-axis welding equipment.