Polymer based textile composites have gained much attention in recent years and gradually
transformed the growth of industries especially automobiles, construction, aerospace and …

This paper introduces a novel technique to evaluate comfort properties of zinc oxide
nanoparticles (ZnO NPs) coated woven fabrics. The proposed technique combines artificial …

This paper presents a new hybrid approach for the prediction of functional properties ie, self-
cleaning efficiency, antimicrobial efficiency and ultraviolet protection factor (UPF), of titanium …

This paper represents the efficiency of machine learning tool, ie, artificial neural network
(ANN), for the prediction of functional properties of nano titanium dioxide coated cotton …

This paper deals with the prediction of methylene blue (MB) dye removal under the influence
of titanium dioxide nanoparticles (TiO 2 NPs) through deep neural network (DNN). In the first …

Traditional proportional–integral–derivative (PID) control performance optimization is an
essential method to improve a loom's warp tension control performance. This work proposes …

Sažetak The interlacements of yarns in woven fabrics cause the yarn to follow a wavy path
that produces crimp. Off-loom width of the fabric is determined by the percentage of the …

Abstract (DE) Trotz der guten Drapierbarkeit ist das Formen von flachen Mehrlagen-
Gestricken (MLG) zu 3D-Preforms für schalenartige Faser-Kunststoff-Verbund (FKV) …