Evaluation of Delamination Damage on Composite Plates using an Artificial Neural Network for the Radiographic Image Analysis-Reference-Cited by-同舟云学术

Evaluation of Delamination Damage on Composite Plates using an Artificial Neural Network for the Radiographic Image Analysis

Published:2009-11-09 Issue:9 Volume:44 Page:1139-1159
ISSN:0021-9983
Container-title:Journal of Composite Materials
language:en
Short-container-title:Journal of Composite Materials

Author:

De Albuquerque Victor Hugo C.¹,Tavares João Manuel R. S.²,Durão Luís M.P.³

Affiliation:

1. Instituto de Engenharia Mecânica e Gestão Industrial (INEGI) Faculdade de Engenharia da Universidade do Porto (FEUP) Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal

2. Instituto de Engenharia Mecânica e Gestão Industrial (INEGI) Faculdade de Engenharia da Universidade do Porto (FEUP) Departamento de Engenharia Mecânica (DEMec) Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal,

3. Centro de Investigaçao e Desenvolvimento em Engenharia Mecânica (CIDEM), Departamento de Engenharia Mecânica (DEM) Instituto Superior de Engenharia do Porto (ISEP), R. Dr. António Bernardino de Almeida no 431, 4200-072 Porto, Portugal

Abstract

Drilling carbon/epoxy laminates is a common operation in manufacturing and assembly. However, it is necessary to adapt the drilling operations to the drilling tools correctly to avoid the high risk of delamination. Delamination can severely affect the mechanical properties of the parts produced. Production of high quality holes with minimal damage is a key challenge. In this article, delamination caused in laminate plates by drilling is evaluated from radiographic images. To accomplish this goal, a novel solution based on an artificial neural network is employed in the analysis of the radiographic images.

Publisher

SAGE Publications

Subject

Materials Chemistry,Mechanical Engineering,Mechanics of Materials,Ceramics and Composites

Link

http://journals.sagepub.com/doi/pdf/10.1177/0021998309351244

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