Surface Flattening Approach for Forming Variable‐Curvature CFRP Stringers
Source abstract
Abstract
ABSTRACT Variable‐curvature Carbon Fiber Reinforced Polymer (CFRP) stringers are prone to wrinkling defects during forming, and conventional techniques often fail to meet quality requirements. To reduce wrinkling defects during the forming of variable‐curvature CFRP stringers, this study proposes a novel forming method that begins with applying a triangular mesh flattening algorithm for initial flattening, followed by optimization using a mass‐spring (MS) model; based on the optimized results, forming blanks are fabricated via an automated fiber placement (AFP) process; finally, variable‐curvature CFRP stringers are produced on a self‐developed automated roll forming platform. The flattening results and forming experimental results indicate that, compared with the initial flattening method, the MS model–optimized approach achieves higher near‐net shape prediction accuracy, with the effective surface coverage of the stringers increasing from 86% to 98%, the wrinkled area decreasing to 1.21 × 10 2 mm 2 from 5.06 × 10 2 mm 2 , and the standard deviations of thickness and internal porosity reducing to 1.5 × 10 −2 mm and 0.41%, respectively, demonstrating that this method significantly reduces wrinkling defects during the forming of variable‐curvature CFRP stringers and provides a feasible pathway and theoretical support for their high‐quality forming.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Mechanical Behavior of Composites · Additive Manufacturing and 3D Printing Technologies · Manufacturing Process and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Electrical Engineering, Henan University of Technology Zhengzhou China
School of Instrument Science and Technology, Xi' an Jiaotong University Xi'an China
National Innovation Institute of Additive Manufacturing Xi'an China
Funding
National Natural Science Foundation of China · Henan Provincial Science and Technology Research Project
References (36)
Show source-provided references
1. H. M.Hariz S. M.Sapuan R. A.Ilyas andM. H. B.Hassim “Advanced Composite in Aerospace Application: A Review on Future Aspect of Fiber‐Reinforced Polymer (Frp) in Aerospace Industry ”(2021) Seminar on Advanced Bio‐ and Mineral Based Natural Fibre Composites (SBMC2021).
2. 10.2174/26661454180524122413015910.2174/266614541805241224130159 ↗
3. Z.Jun‐Hong “Application of Advanced Composite Materials in Aircraft Structures ”(2019) Chemical Engineering Design Communications.
4. 10.33599/SJ.v61no3.0410.33599/SJ.v61no3.04 ↗
5. P. N.Timoshkov V. A.Goncharov L. N.Grigoreva M. N.Usacheva andA. V.Hrulkov “Robotic Laying Out of Prepregs as an Alternative to Technology to Atl and Afp Review ”(2021) Proceedings of VIAM https://doi.org/10.18577/2307‐6046‐2021‐0‐3‐87‐98.10.18577/2307-6046-2021-0-3-87-98 ↗
6. 10.1016/j.compositesa.2019.01.01610.1016/j.compositesa.2019.01.016 ↗
7. 10.20944/preprints202501.2094.v110.20944/preprints202501.2094.v1 ↗
8. 10.1016/j.compositesb.2024.11132310.1016/j.compositesb.2024.111323 ↗
9. 10.1177/002199831351165010.1177/0021998313511650 ↗
10. 10.1088/1757‐899X/1226/1/01200210.1088/1757‐899X/1226/1/012002 ↗
11. 10.1177/0731684423119725110.1177/07316844231197251 ↗
12. 10.1007/s00158‐025‐04043‐610.1007/s00158‐025‐04043‐6 ↗
13. 10.1007/s12289‐021‐01643‐710.1007/s12289‐021‐01643‐7 ↗
14. 10.1016/j.compositesa.2019.03.01210.1016/j.compositesa.2019.03.012 ↗
15. 10.1016/j.compositesa.2017.10.00810.1016/j.compositesa.2017.10.008 ↗
16. 10.1007/s40684‐025‐00700‐910.1007/s40684‐025‐00700‐9 ↗
17. 10.1016/j.compositesa.2021.10634810.1016/j.compositesa.2021.106348 ↗
18. 10.1016/j.jmapro.2021.07.03710.1016/j.jmapro.2021.07.037 ↗
19. 10.1007/s10443‐024‐10229‐w10.1007/s10443‐024‐10229‐w ↗
20. 10.1016/j.compositesb.2017.12.06110.1016/j.compositesb.2017.12.061 ↗
21. K.Morioka Y.Ohtake H.Suzuki et al. “Designing Method of Fiber Composite Material Parts Using Flattening Simulation ”Proceedings of JSPE Semestrial Meeting 2016: 207–208 https://doi.org/10.11522/pscjspe.2016S.0_207.
22. 10.20965/ijat.2019.p030110.20965/ijat.2019.p0301 ↗
23. 10.1016/j.compositesb.2024.11157710.1016/j.compositesb.2024.111577 ↗
24. M.Miki “A Nonlinear Extension of the Variable Projection (VarPro) Method for NURBS‐Based Conformal Surface Flattening ”2025 https://doi.org/10.48550/arXiv2502.19088.
25. 10.1111/cgf.1522310.1111/cgf.15223 ↗
26. 10.1155/2022/491864010.1155/2022/4918640 ↗
27. 10.1049/ipr2.1250810.1049/ipr2.12508 ↗
28. 10.1016/j.jmapro.2023.02.05610.1016/j.jmapro.2023.02.056 ↗
29. 10.1109/TRO.2025.357705210.1109/TRO.2025.3577052 ↗
30. 10.1007/978-3-030-63403-2_1710.1007/978-3-030-63403-2_17 ↗
31. 10.1108/IJCST‐08‐2021‐011010.1108/IJCST‐08‐2021‐0110 ↗
32. 10.1002/fld.504510.1002/fld.5045 ↗
33. 10.1007/s10443‐025‐10306‐810.1007/s10443‐025‐10306‐8 ↗
34. 10.1016/j.compositesb.2020.10828710.1016/j.compositesb.2020.108287 ↗
35. 10.1088/1755‐1315/696/1/01201510.1088/1755‐1315/696/1/012015 ↗
36. 10.1002/pc.2487610.1002/pc.24876 ↗