Verbesserte Webmaschineneinstellungen mittels Simulationsrechnungen

TL;DRAbstract

The weaving process is substantially influenced by the warp thread tension. In order to obtain good fabric quality at a smooth run of the loom, the optimisation of the warp thread tension is necessary. The tension is influenced by a multitude of parameters, especially the back shedding geometry. The pure analytical determination of the best back shedding geometry is not possible. The experimental determination of the best loom setting takes up a great deal of time and is only an approximation. This complex task occurs particularly with new products, for which the user has not established machine settings yet. Within the framework of the presented thesis the development of a technical system is presented that provides optimised machine settings based on machine and fabric specific data and with help of mathematic methods and simulations. Neural networks have been trained and tested for the prediction of ideal article and machine specific warp thread tension sequences (comparison tension

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