Prognosis of elastic properties of stiffening fabrics

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The article presents the results of research on the main characteristics of the structure and properties of modern stiffening fabrics. The indicators of surface density of fabrics, thread thickness of both systems and the number of threads per 10 cm on the base and weft are presented. A technique has been developed for determining bending hardness and elasticity using an automated measuring system. Reference information on hardness and elasticity in orthogonal directions has been compiled. An intelligent system based on artificial neural networks using the "Neuro-Prognosis" program has been developed. The system allows to predict the elasticity indicators of modern onboard fabrics and create a database to digitalize their selection. The advantage of the system is the ability to add refinement of the forecasting model when updating the range of stiffening fabrics. Using the system is convenient in the absence of expensive test equipment.

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Stiffening fabrics, bending elasticity, hardness, prediction, neural networks

Короткий адрес: https://sciup.org/142224625

IDR: 142224625   |   DOI: 10.24411/2079-7958-2020-13801

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