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Content archived on 2024-06-16

Knowledge based process control system to optimize needle performance for high added-value needle-punched nonwovens


The process technology for the needling of the fibre webs is characterized by needle design, needle density per working width, stroke frequency, feeding and delivery speed. Fineness, design (amount and location of barbs) and strokes of the needles determine the degree of consolidation of the felt. The performance and quality of the felt heavily depend on the number of fibres which are reoriented at each penetration of the needles without damage and how many penetrations per unit area are made. The aging of needles strongly affect final performance and quality as the barbs wearing causes a much decreased reorientation of the fibres. This issue becomes even more important when processed reclaimed fibres or recycled material are used for different products in the automotive or other industries. The stress of the needles is then highly increased by the inhomogeneity of the delivered fibre web of recycled material. Impurities and thickenings lead immediately to massive needle breaks and the production must be stopped. The innovation idea of this project is to investigate simple measurable variables in connection with the needle performance. These measurable variables together with the application of the mathematical model will quantify the occurring of needle aging and needle breakage, in order to be able to predict and prevent needle breakage. A High-Speed Multi-Sensor approach will be taken into consideration for developing an automatic on-line control system for needle punching machine, able to control in real time the performances of the needles, and to monitor and predict their aging of the needles

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Grzybowska, 87

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Participants (8)