The quality of the X-ray tomogram not only depends on the spatial resolution but also on the density resolution or contrast. Based on the theory of [Nucl. Instr. and Meth. 206 (1983) 541] it is concluded that the density resolution can be substantially improved by merging of pixels, referred to as binning, prior to reconstruction. We demonstrate that the quality of a given 3D-data set, i.e. the...

In the manufacture of yarn, predicting the effect of changing production conditions is vital to reducing defects in the end product. This study compares, for the first time, non-linear regression and artificial neural network (ANN) models in predicting 10 yarn properties shaped by the influence of winding speed, quenching air temperature and/or quenching air speed during production. A multilaye...

Physical properties of cotton yarns are affected by the characteristics of cotton fibers such as fineness, length, maturity and strength. This relationship has been worked out by means of multivariable regression and stepwise method for an open-end spun (NeC 20) cotton yarn. Moreover, with the help of linear programming, it was made possible to determine the percentage of different cottons in t...

pdates on yarn dyeing technology U were shared among the 83 participants in the AATCC symposium held at Southern Pines, N. C., in April. The symposium included 11 presentations, problem solving sessions and a discussion session on the challenges of package dyeing microfibers. Developed by AATCC‘s Committee on Yarn Dyeing Technology, the two-day program offered registrants ampleopportunity to co...

While tailoring a garment or a technical textile, relaxation processes of a knitted fabric after production have to be taken into account. Such dimensional changes can occur during a long time of dry relaxation, during wet relaxation, or during washing relaxation, the latter having the strongest infl uence on a fabric. Besides fabric construction and yarn material, the dimensions of a knitted f...

The problem of unpredictable shrinkage of cotton knitted fabrics and garments faced by the industry has been investigated by knitting single jersey cotton fabrics using the similar yarn and knitting parameters as used in the industry and finishing them. Through linear regression analysis, the variable factors, which affect the shrinkage and should be included in the domain of the quality contro...

This paper reports the study on the development of a ‘decision support system (DSS)’ software for cotton fibre grading and selection, and its applications in the textile spinning industry. Two multi-criteria decision making approaches, namely ‘analytic hierarchy process (AHP)’ and ‘technique for order preference by similarity to ideal solutions (TOPSIS)’, have been amalgamated in the developed ...

This paper presents an automatic vision-based system for unsupervised detection and classification of spliced yarn joints. In the splice detection process, a competitive learning method based on an LBG algorithm is used. In the splice classification process, a dynamic time warping (DTW) algorithm is used to classify the extracted splice joint into one of three categories, based on the degree of...

This paper presents the comparative results of a current study on unsaturated polyester resin (UPR) matrix composites processed by filament winding method, with cotton spun yarn of different mass irregularities and two different volume fractions. Physical and mechanical properties were measured, namely ultimate stress, stiffness, elongation%. The mechanical properties of the composites increase...