journal article·2026-07-10Open access

Prediction of In‐Plane Shear Mechanical Properties Through Degree of Bonding Characterization as a Function of Automated Fiber Placement Processing Parameters for Carbon Fiber/ PEKK Composite Laminates

Abd‐Elrahman Korayem, Chandra Kishore Reddy Emani, Saratchandra Kundurthi, Karthik Venkatesan, Si Chen, Javed Mapkar, Mahmoodul Haq

Polymer Composites· Volume 47· Issue 13

Abstract

ABSTRACT Automated Fiber Placement (AFP) of fiber‐reinforced thermoplastic tapes enables rapid manufacturing by leveraging precise robotic lamination and in situ consolidation. Accordingly, understanding the effects of processing parameters on resulting mechanical properties is essential. While experimental characterization of all resulting structures as a function of processing parameters is possible, it is infeasible due to the resources needed. Hence, predictive tools can provide valuable insight, enabling the widespread adoption of AFP‐based manufacturing. In this work, we correlated interlaminar bonding of AFP‐manufactured Carbon Fiber Reinforced Polyetherketoneketone (CF/PEKK) with processing parameters such as consolidation time, pressure, and temperature. In addition, an existing analytical model that predicts the level of bonding was modified to fit our material and the resulting experimental data. The modified model captures the degree of bonding developed under both isothermal and non‐isothermal consolidation conditions and relates it to matrix properties. These were subsequently used to predict elastic behavior as a function of in‐plane shear behavior and were validated against a finite element model which uses cohesive zone elements to represent interlaminar cohesion. This approach allows for simplified characterization of elastic properties for CF/PEKK laminates with matrix dominated behavior using in‐plane shear testing in contrast to out of plane and transverse shear processes.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Epoxy Resin Curing Processes · Mechanical Behavior of Composites · Composite Structure Analysis and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Civil & Environmental Engineering Michigan State University East Lansing Michigan USA

Eaton Research Laboratory, Polymer and Nanocomposite Group Center for Materials and Manufacturing Southfield Michigan USA

Funding

DEVCOM Army Research Laboratory

References (50)

Show source-provided references
1. 10.1016/j.compositesb.2011.12.00310.1016/j.compositesb.2011.12.003 ↗
2. 10.1016/j.jcomc.2021.10018210.1016/j.jcomc.2021.100182 ↗
3. 10.1179/146580109X1254099504580410.1179/146580109X12540995045804 ↗
4. 10.1016/j.aiepr.2021.03.00110.1016/j.aiepr.2021.03.001 ↗
5. 10.1016/j.compstruct.2018.07.10010.1016/j.compstruct.2018.07.100 ↗
6. Zympeloudis E. D. · 2015 · 4217
7. 10.1016/j.compositesa.2015.08.00810.1016/j.compositesa.2015.08.008 ↗
8. 10.1177/089270571773830510.1177/0892705717738305 ↗
9. L.Brandt M.Vistein D.Deden F.Schühler andP.Gänswürger “Towards Toolless Manufacturing of Aerospace CFRP Components Via Thermoplastic AFP ”inAerospace Europe Conference 2023.
10. 10.1016/j.compositesa.2021.10638110.1016/j.compositesa.2021.106381 ↗
11. 10.1016/j.compstruct.2021.11476210.1016/j.compstruct.2021.114762 ↗
12. 10.1016/j.compstruct.2023.11704810.1016/j.compstruct.2023.117048 ↗
13. R.Harik C.Saidy S. J.Williams Z.Gurdal andB.Grimsley “Automated Fiber Placement Defect Identity Cards: Cause Anticipation Existence Significance and Progression ”in Technical report 2018.
14. 10.1016/j.compositesb.2018.11.03310.1016/j.compositesb.2018.11.033 ↗
15. 10.1016/j.cad.2020.10298310.1016/j.cad.2020.102983 ↗
16. 10.3390/ma1318420910.3390/ma13184209 ↗
17. 10.1016/0001-6160(83)90126-810.1016/0001-6160(83)90126-8 ↗
18. 10.1016/S0263-8223(98)00033-610.1016/S0263-8223(98)00033-6 ↗
19. 10.3390/jcs501002910.3390/jcs5010029 ↗
20. 10.1016/j.compositesa.2015.08.01710.1016/j.compositesa.2015.08.017 ↗
21. 10.1177/08927057980110040410.1177/089270579801100404 ↗
22. 10.1177/002199831665474810.1177/0021998316654748 ↗
23. P. H.DaraandA. C.Loos “Thermoplastic Matrix Composite Processing Model ”in Technical Report 1985.
24. 10.1016/j.jcomc.2022.10029010.1016/j.jcomc.2022.100290 ↗
25. 10.1016/j.ast.2005.01.00810.1016/j.ast.2005.01.008 ↗
26. 10.1063/1.32852610.1063/1.328526 ↗
27. Wool R. P. · 1982 · 90
28. 10.1007/BF0055207310.1007/BF00552073 ↗
29. 10.1177/00219983870210110310.1177/002199838702101103 ↗
30. 10.1177/08927057970100060410.1177/089270579701000604 ↗
31. 10.1177/089270570201500620710.1177/0892705702015006207 ↗
32. 10.1016/j.compositesa.2007.05.00310.1016/j.compositesa.2007.05.003 ↗
33. 10.1021/ma010858o10.1021/ma010858o ↗
34. 10.1002/pen.76031240610.1002/pen.760312406 ↗
35. Lamontia M. A. · 2009
36. 10.1002/adv.2017710.1002/adv.20177 ↗
37. Jeyakodi G. K. · 2016
38. 10.1016/j.compositesa.2022.10717910.1016/j.compositesa.2022.107179 ↗
39. 10.1016/j.compositesb.2022.11040510.1016/j.compositesb.2022.110405 ↗
40. 10.1016/j.compositesa.2024.10809510.1016/j.compositesa.2024.108095 ↗
41. 10.1177/00219983920260160210.1177/002199839202601602 ↗
42. B. W.Grimsley R. J.Cano T. B.Hudson et al. “In‐Situ Consolidation Automated Fiber Placement of Thermoplastic Composites for High‐Rate Aircraft Manufacturing ”inSAMPE 2022 Conference and Exhibition 2022.
43. ASTM International · 2018
44. Kellas S. · 1993 · 257
45. ASTM International · 2014
46. ASTM International · 2021
47. Daniel I. M. · 1994
48. 10.1108/0264440111109700010.1108/02644401111097000 ↗
49. 10.1115/1.400394710.1115/1.4003947 ↗
50. Characterization of Interlaminar Properties Across Processing Parameters of Consolidation of Cf/Pekk Composites for Benchmarking Performance10.1002/pc.29390 ↗