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Acquisition and optimization of weld trajectory and pose information for robot welding of spatial corrugated web sheet based on laser sensing

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Abstract

Robot welding provides us a new inexpensive technology to fabricate corrugated web H-beam compared to traditional mill process. The key and challenged technology to realize the intelligent welding of the spatial curve seam is to acquire the trajectory and pose information. A practically viable and robust method based on laser sensing was proposed to solve the aforementioned key problem. Firstly, robot, laser sensor, CCD camera, encoder, working station, and computer to control the robot were integrated into a system. Next, the trajectory information was acquired by laser distance ranging sensor and encoder based on triangulation theory. The filtering and smoothing algorithm was developed to accurate the web data. The posture was established based on the trajectory information. The interactive communication between the computer and robot was established to in time control the moving of the robot. Lastly, the data which were processed by the improved amplitude-limiting filtering algorithm were transmitted to the robot. The robot executed the program files in order to complete the welding process. The results show that this method has a high practicality in robot automatic welding of corrugated web H-beam.

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Acknowledgements

The authors would like to thank Jiangsu Beiren Robot System Co., Ltd. from China for providing the experimental equipment and part of the welding materials. Dr. Tao Lin is acknowledged for conducting a part of the experiments. Mr. Jie Yu conducted the experiments when he studied in the School of Material Science and Engineering, Jiangsu University. Professor Bruce Madigan and Dr. Nathan Huff from Montana Tech of Montana University, USA, are acknowledged for polishing the language.

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Correspondence to Xizhang Chen.

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Chen, X., Yu, J. Acquisition and optimization of weld trajectory and pose information for robot welding of spatial corrugated web sheet based on laser sensing. Int J Adv Manuf Technol 96, 3033–3041 (2018). https://doi.org/10.1007/s00170-018-1716-4

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  • DOI: https://doi.org/10.1007/s00170-018-1716-4

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