Muhammad Basha

TL;DR: In this paper, the wear resistance and microhardness behavior of hybrid nanocomposites with different volume fractions of SiC and BN nano-powders were investigated experimentally.

TL;DR: In this paper, two hybrid artificial neural network (ANN) models are used to predict the process responses after training them using the experimental results, and the prediction accuracy of the two models are enhanced via integration with two different metaheuristic optimization algorithms, namely particle swarm optimization (PSO) and flower pollination algorithm (FPA).

TL;DR: In this paper, an experimental investigation on continuous CO2 laser cutting of polymethylmethacrylate (PMMA) sheet has been conducted, where the influence of four process factors (laser power, cutting speed, assisting gas pressure and sheet thickness) on five process responses (kerf deviation, top heat affected zones, bottom heat affected zone, maximum surface roughness and rough area) has been investigated.

TL;DR: In this article, discontinuities in the laminate microstructure to activate extra energy dissipation mechanisms that improves flexural response were created to tackle low failure strain and catastrophic failure in carbon fiber reinforced polymer composite laminates.

TL;DR: In this article, the effect of wood fiber orientation on the specific energy dissipation and compression after impact (CAI) strength of CFRP/wood sandwich laminate with different wood core types was investigated.