Active thermal inspection of composite materials with the use of neural networks

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The results of the processing of experimental data on the inspection of a carbon-fiber composite with the use of two neural networks that provide both the qualitative detection of latent flaws and the elements of flaw metering are considered.

Original languageEnglish
Pages (from-to)655-662
Number of pages8
JournalRussian Journal of Nondestructive Testing
Volume47
Issue number10
DOIs
Publication statusPublished - 1 Oct 2011

Fingerprint

inspection
Inspection
Neural networks
Defects
composite materials
fiber composites
defects
Composite materials
carbon fibers
Carbon fibers
Processing
Hot Temperature
carbon fiber

Keywords

  • Composite materials
  • Neural network
  • Thermal inspection
  • Thermal tomography

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

Active thermal inspection of composite materials with the use of neural networks. / Vavilov, V. P.; Nesteruk, D. A.

In: Russian Journal of Nondestructive Testing, Vol. 47, No. 10, 01.10.2011, p. 655-662.

Research output: Contribution to journalArticle

@article{e8606aab33524391b31696d35529175c,
title = "Active thermal inspection of composite materials with the use of neural networks",
abstract = "The results of the processing of experimental data on the inspection of a carbon-fiber composite with the use of two neural networks that provide both the qualitative detection of latent flaws and the elements of flaw metering are considered.",
keywords = "Composite materials, Neural network, Thermal inspection, Thermal tomography",
author = "Vavilov, {V. P.} and Nesteruk, {D. A.}",
year = "2011",
month = "10",
day = "1",
doi = "10.1134/S1061830911100160",
language = "English",
volume = "47",
pages = "655--662",
journal = "Russian Journal of Nondestructive Testing",
issn = "1061-8309",
publisher = "Maik Nauka-Interperiodica Publishing",
number = "10",

}

TY - JOUR

T1 - Active thermal inspection of composite materials with the use of neural networks

AU - Vavilov, V. P.

AU - Nesteruk, D. A.

PY - 2011/10/1

Y1 - 2011/10/1

N2 - The results of the processing of experimental data on the inspection of a carbon-fiber composite with the use of two neural networks that provide both the qualitative detection of latent flaws and the elements of flaw metering are considered.

AB - The results of the processing of experimental data on the inspection of a carbon-fiber composite with the use of two neural networks that provide both the qualitative detection of latent flaws and the elements of flaw metering are considered.

KW - Composite materials

KW - Neural network

KW - Thermal inspection

KW - Thermal tomography

UR - http://www.scopus.com/inward/record.url?scp=84855834149&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84855834149&partnerID=8YFLogxK

U2 - 10.1134/S1061830911100160

DO - 10.1134/S1061830911100160

M3 - Article

AN - SCOPUS:84855834149

VL - 47

SP - 655

EP - 662

JO - Russian Journal of Nondestructive Testing

JF - Russian Journal of Nondestructive Testing

SN - 1061-8309

IS - 10

ER -