Abstract
Workpiece pose deviation is inevitable during automatic drilling and riveting in aircraft assembly, and it either leads to increased time cost or decreased position accuracy with the present methods. This study aims to propose a quick modification method to modify the coordinates of assembly holes based on online detection of the position of pre-assembly holes considering the effect of abnormal data caused by workpiece pose deviation. In the case of hole-making in the double curvature skin region of three pre-assembly holes, the space transformation matrix is determined using the unit quaternion method in accordance with the on-line detection of the hole position coordinates. In the case of more than three assembly holes with abnormal data, a new modification method using a random sampling consistency RANSAC algorithm is used to optimize the spatial transformation matrix and eliminate the abnormal data effectively. This method has been integrated into automatic drilling and riveting systems. Numerical simulation and experiment tests were conducted, and the result comparison showed that the method has obvious positive effect dealing with the abnormal data considering component pose deviation, which proves the effectiveness of the method.
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References
Tian W, Zhou Z, Liao W (2016) Analysis and investigation of a rivet feeding tube in an aircraft automatic drilling and riveting system. Int J Adv Manuf Technol 82(5-8):973–983
Zhao D, Bi Y, Ke Y (2018) Kinematic modeling and inverse kinematics solution of a new six-axis machine tool for oval hole drilling in aircraft wing assembly. Int J Adv Manuf Technol, (11), 1-13
Zou C, Liu J (2011) An off-line programming system for flexible drilling of aircraft wing structures. Assem Autom 31(2):161–168
Qu W, Dong H (2011) Pose accuracy compensation technology in robot-aided aircraft assembly drilling process. Acta Aeronaut Astronaut Sin 32(10):1951–1960
Zhu W, Qu W, Cao L, Yang D, Ke Y (2013) An off-line programming system for robotic drilling in aerospace manufacturing. Int J Adv Manuf Technol 68(9-12):2535–2545
Tian W, Zhou W, Wei Z, Liao W, Zeng Y (2013) Auto-normalization algorithm for robotic precision drilling system in aircraft component assembly. Chin J Aeronaut 26(2):495–500
Xu Y, Fang G, Chen S, Zou JJ, Ye Z (2014) Real-time image processing for vision-based weld seam tracking in robotic GMAW. Int J Adv Manuf Technol 73(9-12):1413–1425
Mei B, Zhu W, Yuan K, Ke Y (2015) Robot base frame calibration with a 2d vision system for mobile robotic drilling. Int J Adv Manuf Technol 80(9-12):1903–1917
Dong H, Zhou H, Yin F (2015) Analysis and compensation for absolute positioning error of robot in automatic drilling. Acta Aeronaut Astronaut Sin 36(7):2475–2484
Frommknecht A, Kuehnle J, Effenberger I, Pidan S (2017) Multi-sensor measurement system for robotic drilling. Robot Comput Integr Manuf 47:4–10
Shen NY, Guo ZM, Li J, Tong L, Zhu K (2018) A practical method of improving hole position accuracy in the robotic drilling process. Int J Adv Manuf Technol 96(5-8):2973–2987
Wang W, Liu F, Yun C (2015) Calibration method of robot base frame using unit quaternion form. Precis Eng 41:47–54
Zhu W, Mei B, Yan G, Ke Y (2014) Measurement error analysis and accuracy enhancement of 2d vision system for robotic drilling. Robot Com-Int Manuf 30(2):160–171
Chm YT, Member S, IEEE, Member, & IEEE (2002) A simple and efficient estimator for hyperbolic location. IEEE Trans Signal Process 42(8):1905–1915
Ho KC (2012) Bias reduction for an explicit solution of source localization using tdoa. IEEE Trans Signal Process 60(5):2101–2114
Schnabel R, Wahl R, Klein R (2010) Efficient ransac for point-cloud shape detection. Computer Graphics Forum 26(2):214–226
Matas J, Chum O (2004) Randomized RANSAC with d test. Image Vis Comput 22(10):837–842
Acknowledgments
The authors would like to acknowledge the editors and the anonymous referees for their insightful comments.
Funding
The work reported herein is sponsored by the Aeronautical Science Foundation of China (2017ZE52052) and the National Natural Science Foundation of China (51605221, 51875283).
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Qi, Z., Yan, Q., Wang, M. et al. Hole position quick modification method for automatic drilling and riveting system considering workpiece pose deviation. Int J Adv Manuf Technol 104, 1303–1310 (2019). https://doi.org/10.1007/s00170-019-04146-7
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DOI: https://doi.org/10.1007/s00170-019-04146-7