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Machinability analysis of dry drilling of carbon/epoxy composites: cases of exit delamination and cylindricity error
Author(s) -
Mohamed Faycal Ameur,
Malek Habak,
M. Kenane,
Hamdi Aouici,
Mohammed Cheikh
Publication year - 2016
Publication title -
the international journal of advanced manufacturing technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.946
H-Index - 124
eISSN - 1433-3015
pISSN - 0268-3768
DOI - 10.1007/s00170-016-8967-8
Subject(s) - delamination (geology) , materials science , drilling , epoxy , thrust , machining , design of experiments , composite material , orthogonal array , factorial experiment , machinability , response surface methodology , taguchi methods , mechanical engineering , metallurgy , mathematics , engineering , statistics , paleontology , tectonics , subduction , biology
International audienceThe aim of this work is to define the cutting conditions that allow the dry drilling of carbon fiber reinforced epoxy (CFRE) composite materials taking into consideration the quality of the drilled holes (the exit delamination factor and the cylindricity error) and the optimum combination of drilling parameters. A further aim is to use grey relational analysis to improve the quality of the drilled holes. The machining parameters were measured according to 3(3) full factorial parameter designs (27 experiments with independent process variables). The experiments were carried out under various cutting parameters with different spindle speeds and feed rates. Drilling tests were done using WC carbide, high-speed steel (HSS), and TiN-coated carbide drills. The experiment design was accomplished by application of the statistical analysis of variance (ANOVA). Results show that the thrust force is mainly influenced by the tool materials and the feed rate, which has a strong influence on the exit delamination factor. On the other hand, the spindle speed particularly affects the cylindricity error of the holes. Correlations were established between spindle speed/feed rate and the various machining parameters so as to optimize cutting conditions. These correlations were found by quadratic regression using response surface methodology (RSM). Finally, tests were carried out to check the concordance of experimental results

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