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2021 | OriginalPaper | Chapter

Neural Network Installation of the Functional Dependence of Mechanical Behavior in the Expansion of Elastic Material from Temperature

Authors : Ekaterina Filchuk, Juriy Kasparov, Tatyana Kaverzneva, Juliya Sedova, Oleg Stolyarov, Dmitriy Tarkhov, Evgeniy Varshavchik, Ildar Zulkarnay

Published in: Modern Information Technology and IT Education

Publisher: Springer International Publishing

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Abstract

The influence of temperature on mechanical characteristics during stretching of elastic material is investigated, functional dependence is created by means of neural networks. Perceptrons with a varying number of neurons were used. High-strength heat-resistant complex filaments were the samples in experiments. The tests were carried out at 5 different temperature levels. On the basis of the obtained data, the functional dependence of each of the parameters on the temperature of the material was revealed. For polyester thread, methods for processing data from an accelerated experiment are given, which make it possible to significantly shorten the time of its carrying out. The methods considered are universal and can be applied to other elastic materials.

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Literature
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Metadata
Title
Neural Network Installation of the Functional Dependence of Mechanical Behavior in the Expansion of Elastic Material from Temperature
Authors
Ekaterina Filchuk
Juriy Kasparov
Tatyana Kaverzneva
Juliya Sedova
Oleg Stolyarov
Dmitriy Tarkhov
Evgeniy Varshavchik
Ildar Zulkarnay
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-78273-3_22

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