Fractographic classification in metallic materials by using 3D processing and computer vision techniques

Failure analysis aims at collecting information about how and why a failure is produced. The first step in this process is a visual inspection on the flaw surface that will reveal the features, marks, and texture, which characterize each type of fracture. This is generally carried out by personnel w...

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Autores:
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
eng
OAI Identifier:
oai:repositorio.uptc.edu.co:001/14157
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5301
https://repositorio.uptc.edu.co/handle/001/14157
Palabra clave:
Artificial Neural Network
brittle fracture
ductile fracture
fracture due to fatigue
Support Vector Machine
3D data
datos 3D
fractura dúctil
fractura frágil
fractura por fatiga
Máquinas de Vectores de Soporte
Red Neuronal Artificial
Rights
License
http://purl.org/coar/access_right/c_abf417