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Materials 2016, 9(10), 798; doi:10.3390/ma9100798

High-Speed Edge Trimming of CFRP and Online Monitoring of Performance of Router Tools Using Acoustic Emission

1
PSG College of Technology, Coimbatore 641004, India
2
University Paul Sabatier, Toulouse 31300, France
3
The Petroleum Institute, P.O. Box 2533, Abu Dhabi, United Arab Emirates
*
Author to whom correspondence should be addressed.
Academic Editor: J. Paulo Davim
Received: 16 June 2016 / Revised: 6 September 2016 / Accepted: 19 September 2016 / Published: 26 September 2016
(This article belongs to the Special Issue Machining of Composites and Multi-Stacks of Aerospace Materials)
View Full-Text   |   Download PDF [9294 KB, uploaded 26 September 2016]   |  

Abstract

Carbon fiber reinforced polymers (CFRPs) have found wide-ranging applications in numerous industrial fields such as aerospace, automotive, and shipping industries due to their excellent mechanical properties that lead to enhanced functional performance. In this paper, an experimental study on edge trimming of CFRP was done with various cutting conditions and different geometry of tools such as helical-, fluted-, and burr-type tools. The investigation involves the measurement of cutting forces for the different machining conditions and its effect on the surface quality of the trimmed edges. The modern cutting tools (router tools or burr tools) selected for machining CFRPs, have complex geometries in cutting edges and surfaces, and therefore a traditional method of direct tool wear evaluation is not applicable. An acoustic emission (AE) sensing was employed for on-line monitoring of the performance of router tools to determine the relationship between AE signal and length of machining for different kinds of geometry of tools. The investigation showed that the router tool with a flat cutting edge has better performance by generating lower cutting force and better surface finish with no delamination on trimmed edges. The mathematical modeling for the prediction of cutting forces was also done using Artificial Neural Network and Regression Analysis. View Full-Text
Keywords: CFRP; trimming; router tools; force; delamination; acoustic emission; ANN CFRP; trimming; router tools; force; delamination; acoustic emission; ANN
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Prakash, R.; Krishnaraj, V.; Zitoune, R.; Sheikh-Ahmad, J. High-Speed Edge Trimming of CFRP and Online Monitoring of Performance of Router Tools Using Acoustic Emission. Materials 2016, 9, 798.

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