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Characterization of viscoelastic properties of yarn materials: Dynamic mechanical analysis in the transversal direction.

Authors :
Kopelmann, Karl
Bruns, Mathis
Nocke, Andreas
Cherif, Chokri
Source :
Autex Research Journal; Jan2024, Vol. 24 Issue 1, p1-8, 8p
Publication Year :
2024

Abstract

Warp knitting creates very challenging dynamics due to its high production speeds. On the one hand, this makes it method of choice for many products in various fields. On the other hand, not all materials are suitable for such high productivity. With the current generation of machines being limited to only achieve their maximum speed of around 4,400 min<superscript>−1</superscript> with highly elastic yarns, it is desired to gain a deeper insight into yarn behavior in such highly dynamic environments. Among other influences, resonance effects gain high significance as they may result in high loads on the used materials; therefore, yarn breakages interrupt the production and decrease the quality of the product. To extend the material choice, especially high-performance fibers, for high productivity, a deep understanding of the intrinsic properties of the yarn is required. In particular, the viscoelastic properties are of importance. This study proposes a method to determine these characteristics using the dynamic mechanical analysis method. For the purpose of finding the damping in the transversal direction to the yarn axis, the variant of free oscillation is chosen. For the trials, a high-speed camera is suspended above a testing rig. On this rig, a yarn sample is clamped and then displaced from its rest position. The resulting oscillation is recorded and later extracted from the video. From the decrement of the maxima of the amplitude and corresponding time intervals, the damping factor is determined. It decreases with higher initial deflection. Summarised the developed trial setup proved suitable for the determination of the viscoelastic properties in transversal direction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14709589
Volume :
24
Issue :
1
Database :
Complementary Index
Journal :
Autex Research Journal
Publication Type :
Academic Journal
Accession number :
173781930
Full Text :
https://doi.org/10.1515/aut-2023-0002