Abstract
Issues about cycle time optimization is of great importance in the field of automotive production, the industrial robots are widely used in the welding process of automobiles, but there is little research on the optimization of intra station rhythm during the design phase. By conducting research on workstation with industrial robot processing as key process, this paper carries out analysis from the selection of equipment layout within the workstation, planning production rhythm, and the facility performance analysis within the workstation. The finding shows the cycle time within the workstation has been reduced by 12 s. This article aims at improving the rhythm of robotic cells in complex production environment, and raising production efficiency of workstation. The robot path is optimized by using intelligent algorithms, the human machine collaborative work has been validated in virtual scenes, some digital design is adopted for modelling and simulating, the designed workstation has been verified from multiple perspectives, and finally achieve the workstation design of applying industrial robots in the production scenario.
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Acknowledgements
This paper is supported by Jilin Provincial Science and Technology Department (Grant No.20200301038RQ); Jilin Provincial Science and Technology Department (Grant No. 20200401114G X); Jilin Provincial Science and Technology Department (Grant No. 20210201050GX); Jilin Provincial Science and Technology Department (Grant No. 20210301033GX); Jilin Provincial Science and Technology Department (Grant No. 20230201095GX).
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All authors contributed to the study's conception and design. The first draft of the manuscript was written by Qi Xia and Bangcheng Zhang. Meanwhile, other authors directed and supervised the research; All authors reviewed, commented, and corrected previous manuscript versions. All authors read and approved the final manuscript.
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Xia, Q., Zhang, B., Zhang, X. et al. Investigation on robotic cells design improvement in the welding process of body in white. Int J Intell Robot Appl 8, 322–333 (2024). https://doi.org/10.1007/s41315-023-00317-8
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DOI: https://doi.org/10.1007/s41315-023-00317-8