Automated programming for the robotic layup process

Automated programming for the robotic layup process

GAMBARDELLA Antonio, ESPERTO Vitantonio, TUCCI Fausto, CARLONE Pierpaolo

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Abstract. Rolling simulation, especially for groove rolling, is heavily dominated by use of finite element methods, but simulating a full pass sequence often takes several hours. Simpler models offer high-speed simulation within seconds at the expense of resolution and accuracy. In mechanical engineering, Monte-Carlo approaches are well known for analysis of fabrication tolerances in component assembly. By usage of fast simulation cores, this technique becomes available for analysis of process variations in groove rolling, since computational costs are crucial due to the need of hundreds or thousands of simulation runs. Rolling process variations can be classified in two groups: first, variations of the input material, such as actual dimensions, temperature and microstructure state; second variations occurring during processing, such as transport times, environment temperature and tool wear. The regarded process was the operation of the experimental semi-continuous rolling plant at the Institute of Metal Forming (IMF). Simulations were carried out by use of the open source rolling framework PyRolL, developed at IMF. The main part of process parameters was considered as constant, but some were described as a statistical distribution. For each simulation run a set of actual sample values of the distributed parameters was drawn using a random number generator. Selected result values were described by use of statistical methods to analyze the variational behavior of the process in behalf of the two variation classes.

Keywords
Robotic Layup, Automated Layup, Prepreg, Fiber Placement, Industrial Robot

Published online 4/19/2023, 8 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: GAMBARDELLA Antonio, ESPERTO Vitantonio, TUCCI Fausto, CARLONE Pierpaolo, Automated programming for the robotic layup process, Materials Research Proceedings, Vol. 28, pp 367-374, 2023

DOI: https://doi.org/10.21741/9781644902479-40

The article was published as article 40 of the book Material Forming

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

References
[1] M. Alberto, Introduction of Fibre-Reinforced Polymers − Polymers and Composites: Concepts, Properties and Processes, Fiber Reinforced Polymers – The Technology Applied for Concrete Repair (2013) 3-40. https://doi.org/10.5772/54629.
[2] P. Carlone, F. Rubino, V. Paradiso, and F. Tucci, Multi-scale modeling and online monitoring of resin flow through dual-scale textiles in liquid composite molding processes, International Journal of Advanced Manufacturing Technology, 96 (2018) 2215-2230.
https://doi.org/10.1007/s00170-018-1703-9.
[3] F. Rubino et al., Metallization of fiber reinforced composite by surface functionalization and cold spray deposition, Procedia Manuf, 47 (2020) 1084-1088.
https://doi.org/10.1016/j.promfg.2020.04.353.
[4] A. T. Bhatt, P. P. Gohil, and V. Chaudhary, Primary Manufacturing Processes for Fiber Reinforced Composites: History, Development & Future Research Trends, IOP Conf Ser Mater Sci Eng, 330(1) (2018), https://doi.org/10.1088/1757-899X/330/1/012107.
[5] C. Grant, Automated processes for composite aircraft structure, Industrial Robot 33 (2006) 117-121. https://doi.org/10.1108/01439910610651428.
[6] H. Parmar, T. Khan, F. Tucci, R. Umer, and P. Carlone, Advanced Robotics and Additive Manufacturing of Composites : Towards a New Era in Industry 4.0, Materials and Manufacturing Processes 37 (2022) 483-517. https://doi.org/10.1080/10426914.2020.1866195
[7] D. Gan, J. S. Dai, J. Dias, R. Umer, and L. Seneviratne, Singularity-free workspace aimed optimal design of a 2T2R parallel mechanism for automated fiber placement, J Mech Robot 7 (2015) 1-9. https://doi.org/10.1115/1.4029957.
[8] K. Kozaczuk, Automated Fiber Placement Systems Overview, Transactions of the Institute of Aviation, 245 (2016) 52-59. https://doi.org/10.5604/05096669.1226355.
[9] J. Sloan, ATL & AFP: Defining the megatrends in composite aerostructures, https://www.compositesworld.com/articles/atl-and-afp-defining-the-megatrends-in-composite-aerostructures, (accessed 31 January 2023).
[10] P. Debout, H. Chanal, and E. Duc, Tool path smoothing of a redundant machine: Application to Automated Fiber Placement, Computer-Aided Design 43 (2011) 122-132. https://doi.org/10.1016/j.cad.2010.09.011.
[11] M. Elkington, D. Bloom, C. Ward, A. Chatzimichali, and K. Potter, Hand layup: understanding the manual process, Advanced Manufacturing: Polymer and Composites Science 1 (2015) 138-151 https://doi.org/10.1080/20550340.2015.1114801.
[12] S. Chiaverini, B. Siciliano, and O. Egeland, Review of the Damped Least-Squares Inverse Kinematics with Experiments on an Industrial Robot Manipulator, IEEE Transactions on Control Systems Technology 2 (1994) 123-134. https://doi.org/10.1109/87.294335.
[13] F. Tucci, R. Bezerra, F. Rubino, and P. Carlone, Multiphase flow simulation in injection pultrusion with variable properties, Materials and Manufacturing Processes 35 (2020) 152-162. https://doi.org/10.1080/10426914.2020.1711928.
[14] P. Boisse, R. Akkerman, P. Carlone, L. Kärger, S. V. Lomov, and J. A. Sherwood, Advances in composite forming through 25 years of ESAFORM, International Journal of Material Forming 15 (2022). https://doi.org/10.1007/s12289-022-01682-8.
[15] V. Esperto, A. Gambardella, G. Pasquino, F. Tucci, M. Durante, and P. Carlone, Modeling and simulation of the robotic layup of fibrous preforms for liquid composite molding in ESAFORM 2021 – 24th International Conference on Material Forming (2021). https://doi.org/10.25518/esaform21.475.
[16] M. Raji, H. Abdellaoui, H. Essabir, C. A. Kakou, R. Bouhfid, and A. El Kacem Qaiss, Prediction of the cyclic durability of woven-hybrid composites (2018).
https://doi.org/10.1016/B978-0-08-102290-0.00003-9.
[17] B. Wang, The Future of Manufacturing: A New Perspective, Engineering 4 (2018) 722-728. https://doi.org/10.1016/j.eng.2018.07.020.
[18] A. Gambardella, V. Esperto, F. Tucci, and P. Carlone, Defects Reduction in the Robotic Layup Process, Key Eng Mater 926 (2022) 1437–1444. https://doi.org/10.4028/p-7v9349.
[19] M. Elkington, D. Bloom, C. Ward, A. Chatzimichali, and K. Potter, Hand layup: understanding the manual process, Advanced Manufacturing: Polymer and Composites Science 1 (2015) 138-151. https://doi.org/10.1080/20550340.2015.1114801.
[20] M. Elkington, C. Ward, A. Chatzimichali, K. Potter, Preshearing: The Evolution of Manual Layup, ECCM16 – 16th European Conference on Composite Materials (2014).