Optimization of drilling delamination behavior of GFRP/clay nano-composites using RSM and GRA methods

The effects of Nano-clay content on delamination factor during drilling operation on fiber-reinforced composites are optimized through Response Surface Methodology (RSM). Drilling is one of the basic operations on assembly section in many industries. In present work, the experiments are conducted by Box-Behnken Design (BBD) by RSM techniques, which is used to study influential factor on drilling process parameters such as cutting speed, feed rate, size of drill and Nano-clay. The analysis of variance (ANOVA) techniques are employed to evaluation of impact of process parameters on delamination. Developed regression models analyze the interaction properties of process parameters. In addition, the Gray Relational Analysis (GRA) is used to identify the best level of factors for both responses (Entry and Exit condition) to make quality of hole on composites. The experimental result shows that, the feed rate is the most significant factor among the other parameters. The delamination factor is decreased with addition of Nano-clay content at a certain percentile. Furthermore, of Nano-clay content, delamination factor may be increased. The proper propagation of filler content produces a high bonding between the fiber and matrix materials. Hence, the delamination factor may be decreased.