journal article·2025-05Open access

Micro-CT analysis of geometrical distribution of filaments in double-twisted three-strand ropes: Comparison with analytical model

Oday Allan, Tanmaya Mishra, Robert Jan Meijer, Matthijn de Rooij

Abstract

Studying the internal geometry of fibrous structures is critical for understanding their behaviour and improving their durability and performance. This study introduces an innovative micro-computed tomography (micro-CT) approach to analyse the internal geometry of three-strand ropes, focusing on filament orientation and its dependence on varying rope and strand twist configurations. Using advanced digital segmentation techniques, the micro-CT scans effectively isolate and quantify individual filaments, enabling precise measurements of filament-to-rope angles and their distributions. These experimental measurements are compared against a theoretical analytical model based on a double-helix structure, which accounts for strand retraction. The results reveal that the analytical model closely predicts filament orientations within the strand core but shows discrepancies near strand interfaces due to inter-strand forces. Higher strand-to-rope twist ratios reduce these deviations. This study not only underscores the limitations of current analytical models but also provides valuable insights into refining these models for more accurate predictions. A deeper understanding of this is important for improving the performance of fibrous ropes.
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Research context

OpenAlex topics: Lattice Boltzmann Simulation Studies · Mechanical stress and fatigue analysis · Icing and De-icing Technologies

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

Affiliations

University of Twente

Funding

Netherlands Organization for Scientific Research

References (30)

Show source-provided references
1. Banfield S Casey N Nataraja R. Durability of polyester deepwater mooring rope. In Offshore technology conference Houston TX 2005. pp. OTC-17510-MS: OTC.10.4043/17510-MS ↗
2. 10.1533/978185573993210.1533/9781855739932 ↗
3. 10.1106/15280830203165610.1106/152808302031656 ↗
4. 10.1007/978-94-007-7841-210.1007/978-94-007-7841-2 ↗
5. Hearle J, Grosberg P, Backer S. Structural mechanics of fibers, yarns, and fabrics: Wiley, 1969, pp. 2–3.
6. 10.1177/004051751036319210.1177/0040517510363192 ↗
7. Jws H, Sakai T. On the extended theory of mechanics of twisted yarns. J Text Mach Soc Jpn 1979; 25: 68–72.
8. 10.1080/19447027.1956.1075054010.1080/19447027.1956.10750540 ↗
9. 10.1177/00405175960660120310.1177/004051759606601203 ↗
10. 10.1088/0508-3443/9/4/30210.1088/0508-3443/9/4/302 ↗
11. 10.1177/00405175000700030610.1177/004051750007000306 ↗
12. 10.1007/s12221-012-1071-210.1007/s12221-012-1071-2 ↗
13. 10.1177/1528083723117685910.1177/15280837231176859 ↗
14. 10.1080/1944702520865964610.1080/19447025208659646 ↗
15. Lee J-G, Gang T-J, Park I-G. A study on the geometrical structure of ring spun yarns. JTESE 1989; 26: 42–49.
16. 10.1177/00405175800500090610.1177/004051758005000906 ↗
17. 10.1080/00405000.2019.165947110.1080/00405000.2019.1659471 ↗
18. 10.1177/004051751560925910.1177/0040517515609259 ↗
19. 10.1177/0040517521105054010.1177/00405175211050540 ↗
20. 10.1007/978-3-031-75653-5_910.1007/978-3-031-75653-5_9 ↗
21. Fang MQ, Sibellas A, Drummond J, et al. Deep learning-based hybrid reconstruction algorithm for fibre instance segmentation from 3D x-ray tomographic images. CJCE 2023; 101: 6817–6826.
22. Ronneberger O Fischer P Brox T. U-net: convolutional networks for biomedical image segmentation. In Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference Munich Germany October 5–9 2015 proceedings part III 18 Munich Germany 2015 pp. 234–241: Springer.10.1007/978-3-319-24574-4_28 ↗
23. Zhou Z Rahman Siddiquee MM Tajbakhsh N et al. Unet++: a nested u-net architecture for medical image segmentation. In Deep learning in medical image analysis and multimodal learning for clinical decision support: 4th international workshop DLMIA 2018 and 8th international workshop ML-CDS 2018 held in conjunction with MICCAI 2018 Granada Spain September 20 proceedings 4 2018 Granada Spain 2018 pp. 3–11: Springer.10.1007/978-3-030-00889-5_1 ↗
24. Dragonfly 2024.1 [computer software]. Comet technologies Canada Inc. Montreal Canada; software available at https://dragonfly.comet.tech/
25. 10.3390/jimaging410012310.3390/jimaging4100123 ↗
26. 10.3390/jimaging805012710.3390/jimaging8050127 ↗
27. 10.1080/00405000.2020.178134710.1080/00405000.2020.1781347 ↗
28. Hsu PT. Fracture mechanisms of synthetic fiber ropes. PhD Thesis: Massachusetts Institute of Technology, 1984.
29. 10.1177/00405175750450010310.1177/004051757504500103 ↗
30. Allan O Mishra T De Rooij M. Effect of rope twist and strand twist on the contact pressure between strands in Aramid fibre three-strand ropes. In: International organization for the study of rope (OIPEEC) conference (ed Wang P) Bardolino Italy 9th April 2024.