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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2010

Autores

De Albuquerque, VHC (Autor) Outra; João Manuel R. S. Tavares (Autor) FEUP; Durao, LMP (Autor) Outra

Revista

Título: Journal of Composite Materials

Vol. 44 Nº 9

Páginas: 1139-1159

ISSN: 0021-9983

Editora: SAGE

Indexação

ISI Web of Knowledge - 41 Citações

Scopus - 60 Citações

Outras Informações

ID Authenticus: P-003-71V

DOI: 10.1177/0021998309351244

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 21