Method of Predicting the Polymer Composites’ Properties Using Neural Network Modeling

A neural network modelling technique and its training to diagnose polymer composite materials based on tomography data is introduced. As an object of study, carbon fiber made by vacuum infusion technology using an epoxy binder is considered. X-ray microtomography was used to analyze its structure an...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Vdovin D., Abramochkin A., Borodulin A., Nelyub V.
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/d6b23108c249481ca4f25e9da5ec6052
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d6b23108c249481ca4f25e9da5ec6052
record_format	dspace
spelling	oai:doaj.org-article:d6b23108c249481ca4f25e9da5ec60522021-11-08T15:20:32ZMethod of Predicting the Polymer Composites’ Properties Using Neural Network Modeling2261-236X10.1051/matecconf/202134602015https://doaj.org/article/d6b23108c249481ca4f25e9da5ec60522021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/15/matecconf_icmtmte2021_02015.pdfhttps://doaj.org/toc/2261-236XA neural network modelling technique and its training to diagnose polymer composite materials based on tomography data is introduced. As an object of study, carbon fiber made by vacuum infusion technology using an epoxy binder is considered. X-ray microtomography was used to analyze its structure and the provided images were used as a database for creating a neural network. A neural network modelling technique and its training was developed, including an algorithm for converting tomograph images into data on the structure of the phase composition and the physical and mechanical properties of the object under study.Vdovin D.Abramochkin A.Borodulin A.Nelyub V.EDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 346, p 02015 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Vdovin D. Abramochkin A. Borodulin A. Nelyub V. Method of Predicting the Polymer Composites’ Properties Using Neural Network Modeling
description	A neural network modelling technique and its training to diagnose polymer composite materials based on tomography data is introduced. As an object of study, carbon fiber made by vacuum infusion technology using an epoxy binder is considered. X-ray microtomography was used to analyze its structure and the provided images were used as a database for creating a neural network. A neural network modelling technique and its training was developed, including an algorithm for converting tomograph images into data on the structure of the phase composition and the physical and mechanical properties of the object under study.
format	article
author	Vdovin D. Abramochkin A. Borodulin A. Nelyub V.
author_facet	Vdovin D. Abramochkin A. Borodulin A. Nelyub V.
author_sort	Vdovin D.
title	Method of Predicting the Polymer Composites’ Properties Using Neural Network Modeling
title_short	Method of Predicting the Polymer Composites’ Properties Using Neural Network Modeling
title_full	Method of Predicting the Polymer Composites’ Properties Using Neural Network Modeling
title_fullStr	Method of Predicting the Polymer Composites’ Properties Using Neural Network Modeling
title_full_unstemmed	Method of Predicting the Polymer Composites’ Properties Using Neural Network Modeling
title_sort	method of predicting the polymer composites’ properties using neural network modeling
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/d6b23108c249481ca4f25e9da5ec6052
work_keys_str_mv	AT vdovind methodofpredictingthepolymercompositespropertiesusingneuralnetworkmodeling AT abramochkina methodofpredictingthepolymercompositespropertiesusingneuralnetworkmodeling AT borodulina methodofpredictingthepolymercompositespropertiesusingneuralnetworkmodeling AT nelyubv methodofpredictingthepolymercompositespropertiesusingneuralnetworkmodeling
_version_	1718441798704037888

Method of Predicting the Polymer Composites’ Properties Using Neural Network Modeling

Ejemplares similares