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Research on the method of improving the laying accuracy of automated fiber placement

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Abstract

The laying accuracy of the automated fiber placement (AFP) machine determines the actual laying position of the prepreg tow, which directly affects the mechanical properties of the composite component after curing. The laying accuracy is affected by the coupling of multiple factors such as the spatial movement of the AFP machine, the delivery of the tow, and the coordinated movement of the AFP machine and the tow. Aiming at the problem that the friction conveying accuracy of the tow is difficult to guarantee, the transport model of the tow in the restarting stage is established, and the restarting accuracy of the tow is improved by optimizing the clamping scheme. A timing-based execution method of the restarting and cutting instructions is proposed to meet the process requirements of high placement speed and high coordination precision of the AFP process. Finally, the laying experiments are carried out on a special mold, and the start and end points of the tows can meet the requirements of laying accuracy.

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Data availability

The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.

Code availability

The codes used in this study are available from the corresponding author on reasonable request.

References

  1. Gao J, Qu W, Yang D, Zhu W, Ke Y (2021) Two-stage sector partition path planning method for automated fiber placement on complex surfaces. CAD 132:102983. https://doi.org/10.1016/j.cad.2020.102983

    Article  Google Scholar 

  2. Maung PT, Prusty BG, Oromiehie E, Phillips AW, St John NA (2022) Design and manufacture of a shape-adaptive full-scale composite hydrofoil using automated fibre placement. Int J Adv Manuf Technol 123(11):4093–4108. https://doi.org/10.1007/s00170-022-10527-2

    Article  Google Scholar 

  3. Liu F, Zhang W, Shang J, Yi M, Wang S, Ding X (2022) A planar underactuated compaction mechanism with self-adaptability for automated fiber placement heads. Aerospace 9(10):586. https://doi.org/10.3390/aerospace9100586

  4. Woigk W, Hallett SR, Jones MI, Kuhtz M, Hornig A, Gude M (2018) Experimental investigation of the effect of defects in automated fibre placement produced composite laminates. Compos Struct 201:1004–1017. https://doi.org/10.1016/j.compstruct.2018.06.078

    Article  Google Scholar 

  5. Oromiehie E, Prusty BG, Compston P, Rajan G (2019) Automated fibre placement based composite structures: review on the defects, impacts and inspections techniques. Compos Struct 224:110987

    Article  Google Scholar 

  6. Vijayachandran AA, Waas AM (2022) Minimizing stress concentrations using steered fiberpaths and incorporating realistic manufacturing signatures. Int J Non-Linear Mech 146:104160. https://doi.org/10.1016/j.ijnonlinmec.2022.104160

    Article  Google Scholar 

  7. Tang Y, Wang Q, Cheng L, Li J, Ke Y (2022) An in-process inspection method integrating deep learning and classical algorithm for automated fiber placement. Compos Struct 300:116051. https://doi.org/10.1016/j.compstruct.2022.116051

    Article  Google Scholar 

  8. Cheng L, Zhang L, Li J, Ke Y (2021) Modeling and compensation of volumetric errors for a six-axis automated fiber placement machine based on screw theory. Proc Inst Mech Eng C J Mech Eng Sci 235(23):6940–6955. https://doi.org/10.1177/09544062211017163

    Article  Google Scholar 

  9. Cheng L, Zhang L, Li J, Ke Y (2022) Measurement, identification, and compensation of pose errors for six-axis gantry automated fiber placement machine. Int J Adv Manuf Technol 120(3):2259–2276. https://doi.org/10.1007/s00170-021-08373-9

    Article  Google Scholar 

  10. Hamlyn A, Yvan H (2014) Fiber application machine. U.S. Patent 8,733,417, 27 May 2014

  11. Oldani T (2012) Fiber placement machine platform system having interchangeable head and creel assemblies. U.S. Patent  8,151,854, 10 Apr. 2012

  12. Zhao C, Xiao J, Huang W, Huang X, Gu S (2016) Layup quality evaluation of fiber trajectory based on prepreg tow deformability for automated fiber placement. JRPC 35(21):1576–1585. https://doi.org/10.1177/0731684416659933

    Article  Google Scholar 

  13. Xu K, Hao X, Lin J (2022) Automated fibre placement path generation for complex surfaces via digital image deconvolution algorithm. Compos Part A: Appl Sci Manuf 163:107246. https://doi.org/10.1016/j.compositesa.2022.107246

    Article  Google Scholar 

  14. Zhou W, Cheng Q, Xu Q, Zhu W, Ke Y (2021) Deformation and fracture mechanisms of automated fiber placement pre-preg laminates under out-of-plane tensile loading. Compos Struct 255:112948. https://doi.org/10.1016/j.compstruct.2020.112948

    Article  Google Scholar 

  15. Meister S, Wermes M (2022) Performance evaluation of CNN and R-CNN based line by line analysis algorithms for fibre placement defect classification. Prod Eng Res Devel. https://doi.org/10.1007/s11740-022-01162-7

    Article  Google Scholar 

  16. Khan MA, Mitschang P, Schledjewski R (2013) Parametric study on processing parameters and resulting part quality through thermoplastic tape placement process. JCoMa 47(4):485–499

    Google Scholar 

  17. Zhang C, Duan Y, Xiao H, Wang B, Ming Y, Zhu Y, Zhang F (2022) The effects of processing parameters on the wedge peel strength of CF/PEEK laminates manufactured using a laser tape placement process. Int J Adv Manuf Technol 120(11):7251–7262. https://doi.org/10.1007/s00170-022-09181-5

    Article  Google Scholar 

  18. Zhang W, Liu F, Jiang T, Yi M, Chen W, Ding X (2022) Overview of current design and analysis of potential theories for automated fibre placement mechanisms. ChJA 35(4):1–13. https://doi.org/10.1016/j.cja.2021.04.018

    Article  Google Scholar 

  19. Izco L, Isturiz J, Motilva M (2006) High speed tow placement system for complex surfaces with cut/clamp/& restart capabilities at 85 m/min (3350 IPM). Aerosp Manuf Autom Fastening Conf Exhibition. Toulouse, France

  20. Liu F, Zhang W, Xu K, Deng H, Ding X (2018) A planar mechanism with variable topology for automated fiber placement. 2018 Int Conf Reconfigurable Mech Robot (ReMAR), Delft, Netherlands, 2018, pp 1–6. https://doi.org/10.1109/REMAR.2018.8449845

  21. Denkena B, Schmidt C, Weber P (2016) Automated fiber placement head for manufacturing of innovative aerospace stiffening structures. Procedia Manuf 6:96–104

    Article  Google Scholar 

  22. Gordon T, Xu X, Kawashita L, Wisnom MR, Hallett SR, Kim BC (2021) Delamination suppression in tapered unidirectional laminates with multiple ply drops using a tape scarfing technique. Compos Part A: Appl Sci Manuf 150:106627. https://doi.org/10.1016/j.compositesa.2021.106627

    Article  Google Scholar 

  23. Gordon T, Xu X, Wisnom MR, Kim BC (2020) Novel tape termination method for automated fibre placement: cutting characteristics and delamination suppression. Compos Part A: Appl Sci Manuf 137:106023. https://doi.org/10.1016/j.compositesa.2020.106023

    Article  Google Scholar 

  24. DeVlieg R, Jeffries K, Vogeli P (2007) High-speed fiber placement on large complex structures. SAE Aerofast, Los Angeles, California, USA

  25. Cemenska J,  (2011) Automating AFP Tuning Using a Laser Sensor, SAE Technical Paper 2011-01-2593. https://doi.org/10.4271/2011-01-2593

  26. Kisch RA (2017) Automated fiber placement compensation. U.S. Patent 9,694,546, 4 Jul. 2017

  27. Dirk H-JL, Ward C, Potter KD (2012) The engineering aspects of automated prepreg layup: history, present and future. Compos B Eng 43(3):997–1009

    Article  Google Scholar 

  28. Mostaghel N, Davis T (1997) Representations of Coulomb friction for dynamic analysis. Earthq Eng Struct Dynam 26(5):541–548

    Article  Google Scholar 

Download references

Funding

The authors received financial support from Zhejiang Province Natural Science Foundation (grant no. LQ20E050019), National Natural Science Foundation of China (grant no. 51975520), National Natural Science Foundation of China (grant no. 91948301), and Key Research and Development Program of Zhejiang Province (grant no. 2020C01039).

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Authors and Affiliations

  1. State Key Lab of Fluid Power Transmission and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China

    Liang Cheng, Li Zhang, Chenggan Zheng & Jiangxiong Li

  2. Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China

    Liang Cheng, Li Zhang, Chenggan Zheng & Jiangxiong Li

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  1. Liang Cheng
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  2. Li Zhang
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Correspondence to Li Zhang.

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Cheng, L., Zhang, L., Zheng, C. et al. Research on the method of improving the laying accuracy of automated fiber placement. Int J Adv Manuf Technol 125, 4883–4897 (2023). https://doi.org/10.1007/s00170-023-10932-1

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  • DOI: https://doi.org/10.1007/s00170-023-10932-1

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