NOVEL APPROACH TO STUDY COMPRESSION PROPERTIES IN TEXTILES

Abstract Data analysis of a fabric.s compression properties can only be done when the limits of compression are known. The best formula is van Wyk.s, although the meaning of the physical parameter is still not clear. On the basis of van Wyk.s equation, a study of the compressibility of woven fabrics can be initiated in partnership with Pierce, Kemp and Hamilton.s approach for circular yarns and the flattened yarns of a fabric under pressure. Neural network models promise to solve the drawbacks of de.Jong.s and other models. The fit of the pressure-thickness relationship may be improved by using exponential function and the Iterative method, such as Marquardt.s algorithm for evaluating compression properties. Back-propagation promises to give better results, since the KESFB3 compression measuring instrument works by minimising error levels. The optimisation of low-stress mechanical properties is possible by using trained networks, and this venture forms an absolute method for comparing the functional properties of fabrics.