Fr. 102.00

Damage identification on composite materials - A Neural Networking process for fiber reinforced composite materials micro mechanical acoustic emission signatures

English, German · Paperback / Softback

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Description

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This book presents a reliable correlation between micro-mechanical failure events on fibre reinforced composite materials and their acoustic emission (AE) signature. Several fields of knowledge were involved on the research behind this book, for instance, composites theory was applied on the manufacturing of the testing coupons and the understanding of the micro-mechanical failure modes, ultrasound theory for the understanding of generation, transmission and recording of waveforms on composite materials. Finally, artificial neural networks for the classification and clustering of AE events recorded from the material. During pilot testing, the characterization of the recording system was defined, along with the study of the testing settings and physical factors that influence frequency response from fibre reinforced composite materials. The post analysis for each test involved the extraction and classification of the first and second highest frequencies by means of a self-organizing map algorithm. The resulting plots from this analysis showed 5 different classes of acoustic emission events; each class was successfully correlated to a different micro-mechanical event.

About the author










The author has pursued a professional career in the field of Composite Materials at assorted institutions. He was a research engineer at Warwick University in the UK, also a researcher at UAM-I Mexico, then he joined the Wind Energy business as a design engineer and recently he moved to Aviation, both for General Electric in Queretaro, Mexico.

Product details

Authors Carlos Rafael Ramirez Jimenez
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 01.11.2011
 
EAN 9783846539767
ISBN 978-3-8465-3976-7
No. of pages 312
Dimensions 150 mm x 220 mm x 19 mm
Weight 483 g
Subject Natural sciences, medicine, IT, technology > Physics, astronomy > Mechanics, acoustics

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