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Optimisation of the warp yarn tension on a warp knitting machine

Pohlen V., Schnabel A., Neumann F., Gries T.

Autex Research Journal

2012

Vol. 12, no. 2

29--33

Investigations (calculations) based on a warp yarn tension analysis on a warp knitting machine with multiaxial weft yarn insertion allow prospective reduced yarn tension differences in technical warp knits. From this a future opportunity is provided to substitute the subjective warp let-off adjustment by a model of tension control. The outcome of this is a higher reproducibility with associated increasing process reliability and rising product quality.

Assessment of Transversal Deformations of Multi - Axial Woven Fabrics Stretched One - Directionally

Frontczak-Wasiak I., Snycerski M.

Fibres & Textiles in Eastern Europe

2006

Vol. 14, no. 2 (56)

29--33

The coefficient of the transversal deformation of woven fabrics while stretched one-directionally was determined by experiments. Three-axial fabrics, four-axial fabrics with homogeneous and inhomogeneous nets, and six-axial fabrics with an inhomogeneous net were the subjects of our investigation. Classical, two-dimensional fabrics with area masses of a similar order of magnitude were accepted for comparison. An analysis indicated that the transversal deformability of woven fabrics decreases with the increase in the number of thread systems.

Eksperymentalnie wyznaczono współczynnik odkształcenia poprzecznego tkanin przy rozciąganiu jednokierunkowym. Obiektem badań były tkaniny: trójosiowa, czteroosiowe o siatce jednorodnej i niejednorodnej oraz sześcioosiowa o siatce niejednorodnej. Jako porównywalniki przyjęto tkaniny klasyczne o porównywalnych masach powierzchniowych. Analiza wykazała, że odkształcalność poprzeczna tkanin maleje wraz ze wzrostem liczby układów nitek.

Fuzzy-stochastic evaluation of uncertainties in material parameters of textiles

Abdkader A., Graf W., Möller B., Offermann P., Sickert J. U.

Autex Research Journal

2002

Vol. 2, no. 3

115--125

Open textile structures made of AR glass filament yarns are finding increasing application in civil engineering, e.g. as reinforcement in thin concrete strengthening layers. A knowledge of material parameters is a precondition for the application of such materials. In this paper, experimental and numerical investigations aimed at collecting information on the uncertain material parameters of AR glass filament yarns are presented. This information serves as a basis for mathematical modelling. Uncertainty is here interpreted as fuzzy randomness, and quantified using fuzzy probability distribution functions.