Condition monitoring of delamination during drilling of GFRP composites using the acoustic emission technique a neural network model
Acoustic emission technology (AET) is an unconventional non-destructive testing method for the detection, location and characterisation of various kinds of defect. In the drilling of materials, AET can be applied to understand the different events that occur from the time the drill comes in contact to the time when the process is complete. This paper focuses on monitoring the delamination damage with the help of the acoustic emission technique. The parameters will form a relationship with the level of delamination. These findings are to be used to build and develop an artificial neural network (ANN) model. The ANN model can be used to predict the delamination online. Hence, this study will help us to categorise and segregate the product in order to accept or reject, or rectify and accept based on the application of drilling of GFRP composites.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
Document Type: Research Article
Affiliations: 1 Assistant Professor, Department of Mechanical Engineering, College of Engineering, Guindy, Anna University, Chennai - 600 025, Tamilnadu, India.
Publication date: August 1, 2011
More about this publication?
- Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.
- Information for Authors
- Submit a Paper
- Subscribe to this Title
- Information for Advertisers
- Terms & Conditions
- Ingenta Connect is not responsible for the content or availability of external websites