Drilling of a bidirectional jute fibre and cork-reinforced polymer biosandwich structure: ANN and RSM approaches for modelling and optimization

Abstract

The present study examined the effects of drilling parameters such as spindle speed (N), feed rate (f), diameter of the tools (d) and drill geometry such as twist drills (HSS-TiN) and brad & spur drills (BSD) used on delamination damage in a biosandwich structure consisting of an epoxy matrix reinforced with bidirectional jute bres and cork (JFCE). Response surface methodology (RSM) and arti cial neural networks (ANNs) were exploited to evaluate the in uence and interaction of the cutting parameters on the delamination factor (F d ) at the output during drilling. In addition, several optimization methods, such as desirability-based RSM, the genetic algorithm (GA) and the fmincon function, were applied to validate the optimal combination of cutting parameters (f, N and d) in the structures studied in biosandwiches during this research. According to the experimental results, severe damage was indeed observed with the BSD tool (F d = 1.684) compared to the HSS-TiN tool (F d = 1.555) for the same cutting conditions. To obtain the minimum F d , the optimum conditions obtained by GA were respectively 1397.54 rev/min, 51.162 mm/min and 5.981 mm for HSS-TiN for f, N and d.

Assessment of mechanical and physicochemical properties of palm fiber composites: Effect of alkaline treatment and volume alterations

“…Utilizing neural networks for modeling stands as an effective approach enabling the emulation of the behavior of diverse non-linear processes. 36,37 The primary purpose of employing the Artificial Neural Network (ANN) model in this work is to predict the Young’s modulus of date palm fiber composites, specifically for tensile and Izod molding tests. To train the ANN model, diverse network topologies were employed, and the entire dataset was divided into three segments: training, testing, and validation runs.…”

Drilling Parameters and Post-Drilling Residual Tensile Properties of Natural-Fiber-Reinforced Composites: A Review

“…This renders the tool less effective against the shearing-based removal of material from the composite. The optimal conditions for the minimization of the delamination factor with the different drilling parameters were obtained on a jute-and-coir-reinforced composite using a genetic algorithm and were found to be equal to 1397.54 rev/min for the SS, 51.162 mm/min for the FR, and 5.981 mm for the tool diameter, respectively [54]. Of course, the values obtained considerably depend on the natural fiber used in the composite; this is particularly important, because the range of natural fibers available has grown considerably in the last few years.…”

Drilling of banana stem fibers and polyurethane derived from castor oil composite

“…They pointed that twist drill generated less damages compared to brad point drill. Tabet et al 31 pointed the higher feed rate increases delamination in a composite with natural fibers and epoxy matrix when drilling with a brad point drill.…”