Abstract
Small-medium enterprises (SME) specialized in laser cutting and sheet metal working area join the Industry 4.0 (I4.0) revolution in order to preserve their competitiveness in the global market. This study aims to integrate new I4.0 enabling technologies into the design and implementation of the laser cutting process for sheet metal parts in order to improve the working conditions of the operators, enhance the product quality, and increase the SME’s productivity. The paper proposes a human-robot collaborative workspace for the detaching, removing, and disposing of the metal sheet parts after laser cut.
Such activity is typically performed by human operators because it is difficult to automate. Moreover, such activity is always tedious, sometimes dangerous, and often it is ergonomically heavy.
The paper presents a new approach using collaborative robots for the management of sheet metal cut parts, specifically for developing the removing and sorting tasks of the cut sheet metal parts from the blank skeleton. The proposed solution integrates both the design tools, specifically the CAD/CAM environment where the sheet metal parts are modeled and the laser cutting process is defined, and the production tools, which are the Cobots automatically programmed to carry out the sheet metal parts removal. The study proposes both a simulated solution and real case applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Awouda, A., Aliev, K., Chiabert, P., Antonelli, D.: Practical implementation of Industry 4.0 based on open access tools and technologies. In: Fortin, C., Rivest, L., Bernard, A., Bouras, A. (eds.) PLM 2019. IAICT, vol. 565, pp. 94–103. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-42250-9_9
Chiabert, P., Aliev, K.: Analyses and study of human operator monotonous tasks in small enterprises in the era of industry 4.0. In: Nyffenegger, F., Ríos, J., Rivest, L., Bouras, A. (eds.) PLM 2020. IAICT, vol. 594, pp. 83–97. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-62807-9_8
Dimeas, F., Fotiadis, F., Papageorgiou, D., Sidiropoulos, A., Doulgeri, Z.: Towards progressive automation of repetitive tasks through physical human-robot interaction. In: Ficuciello, F., Ruggiero, F., Finzi, A. (eds.) Human Friendly Robotics. Springer Proceedings in Advanced Robotics, vol. 7. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-89327-3_12
Gervasi, R., Mastrogiacomo, L., Franceschini, F.: A conceptual framework to evaluate human-robot collaboration. Int. J. Adv. Manufact. Technol. 108(3), 841–865 (2020). https://doi.org/10.1007/s00170-020-05363-1
Aliev, K., Antonelli, D., Bruno, G.: Task-based programming and sequence planning for human-robot collaborative assembly. IFAC-PapersOnLine 52(13), 1638–1643 (2019)
Tan, J.T.C., Duan, F., Zhang, Y., Watanabe, K., Kato, R., Arai, T.: Human-robot collaboration in cellular manufacturing: design and development. In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 29–34. IEEE (2009)
Mateus, J.C., Claeys, D., Limère, V., Cottyn, J., Aghezzaf, E.-H.: A structured methodology for the design of a human-robot collaborative assembly workplace. Int. J. Adv. Manufact. Technol. 102(5–8), 2663–2681 (2019). https://doi.org/10.1007/s00170-019-03356-3
Stadnicka, D., Antonelli, D.: Human-robot collaborative work cell implementation through lean thinking. Int. J. Comput. Integr. Manuf. 32(6), 580–595 (2019). https://doi.org/10.1080/0951192X.2019.1599437
https://www.universal-robots.com/media/240787/ur3_us.pdf. Accessed 10 June 2021
https://www.trumpf.com/en_INT/products/machines-systems/automation/automation-for-2d-laser-cutting-machines/. Accessed 14 June 2021
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 IFIP International Federation for Information Processing
About this paper
Cite this paper
Chiabert, P., Aliev, K. (2022). Management of Laser-Cut Sheet-Metal Part Using Collaborative Robots. In: Canciglieri Junior, O., Noël, F., Rivest, L., Bouras, A. (eds) Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations. PLM 2021. IFIP Advances in Information and Communication Technology, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-030-94335-6_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-94335-6_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-94334-9
Online ISBN: 978-3-030-94335-6
eBook Packages: Computer ScienceComputer Science (R0)