Mechanics & Industry
Volume 18, Number 1, 2017
|Number of page(s)||11|
|Published online||10 January 2017|
Burr height monitoring while drilling CFRP/titanium/aluminium stacks
1 Department of Mechanical Engineering, École Polytechnique de Montréal, Montréal, QC, Canada
2 Department of Mechanical Engineering, École de Technologie Supérieure, Montréal, QC, Canada
3 Department of Engineering Physics, École Polytechnique de Montréal, Montréal, QC, Canada
a Corresponding author: email@example.com
Received: 30 October 2014
Accepted: 28 September 2015
In the aerospace industry, deburring operations are often difficult to achieve and can be very costly. Hence, burrs generated during the machining should be studied. In this research, the drilling operations were performed and analysed for a stack composed of carbon fibre reinforced polymer (CFRP), titanium and aluminium alloys, using three cutting feeds and three cutting speeds for each material. A monitoring method is presented to predict the burr heights in the titanium and aluminium layers. The cutting force signals obtained during the drilling of the CFRP layer were analysed using the regularization fractal analysis, resulting in an estimation of the fractal dimension. This fractal analysis was optimized in order to monitor the clearance tool wear and the burr heights. The burr heights, measured at the outlet of the titanium and aluminium alloys, were observed in terms of the thrust force, the torque, the hole diameter and circularity, and the clearance tool wear. This fractal analysis technique can be implemented for an on-line control to predict the generated burr heights in the metallic layers while drilling the previous CFRP layer.
Key words: Stack drilling / burr height / fractal analysis
© AFM, EDP Sciences 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.