Mechanical characterization and optimization of delamination factor in drilling bidirectional jute fibre-reinforced polymer biocomposites

• Published in: International journal of advanced manufacturing technology 2020-12, Vol.111 (7-8), p.2073-2094
• Main Authors: Belaadi, Ahmed, Boumaaza, Messaouda, Amroune, Salah, Bourchak, Mostefa
• Format: Article
• Language: English
• Subjects: Artificial neural networks; Biomedical materials; CAE) and Design; Computer-Aided Engineering (CAD; Cutting; Delamination; Design of experiments; Drill bits; Drilling; Engineering; Feed rate; Fiber reinforced plastics; Fiber reinforced polymers; Industrial and Production Engineering; Jute; Machine shops; Mechanical Engineering; Mechanical properties; Media Management; Optimization; Original Article; Response surface methodology; Textile composites; Variance analysis
• ISSN: 0268-3768; 1433-3015
• DOI: 10.1007/s00170-020-06217-6

In this comprehensive investigation, we evaluate the mechanical properties and the effect of drilling parameters (spindle speed, 355, 710 and 1400 rev/min; feed rate, 50, 108 and 190 mm/min; and the tool diameter, 5, 7 and 10 mm) as a function of the cutting process on the delamination factor when drilling jute fabrics reinforced epoxy matrix biocomposites. The study is carried out using different drill geometries and material (HSS_TiN, HSS and brad and spur drill bits). The design of experiment is developed by the application analysis of variance (ANOVA). The response surface methodology (RSM) and artificial neural networks (ANN) are applied to validate the results obtained during the experiment and to predict the behaviour of the structure under any cutting condition. Result analysis showed the superiority of the ANN model over the RSM model, while the feed rate had a significant contribution on spindle speed and diameter. The optimum conditions obtained for the F d factor were a feed rate of 51 mm/min, a spindle speed of 1160 rev/min and a drilling diameter of 5 mm.