As the need for quickly exploring a textile manufacturing process is increasingly costly along
with the complexity in the process. The development of manufacturing process modeling has …

Splicing stands as the preeminent technique employed for the seamless joining of yarn
fibers. In stark contrast to traditional knotting methods, splicing achieves a level of …

Yarn quality is an important factor that influences the subsequent products quality.
Employing artificial intelligence technologies can lead to more objective yarn testing …

In this study, the effects of selected intermingling process parameters on yarn breaking
strength and elongation were predicted using artificial neural network. For this aim, partially …

The objective of the second part of the study is to investigate the retained spliced diameter
with regard to splicing parameters and fiber and yarn properties. In order to analyze the …

Such as other fields, textile industry, deal with numerous large inputs and possible outputs
parameters and always feed with a complex interdependence between parameters, it is …

Historically the main use of the textile fabrics has been limited mainly to clothing and
domestic applications. The technical uses were of minor importance. However in the last …

Soft computing is a cluster of modelling and optimisation techniques which mimics the
behaviour of biological systems. Artificial neural network (ANN), fuzzy logic (FL) and genetic …

Great technological progress and the automation of spinning processes have caused that
machines, most often arranged in streamlines, work better and more efficiently. However, in …

The quality of the splice made in the yarn is very important in terms of final yarn
performance. The yarn ends are not spliced well; the yarn breaking strength and elongation …