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The growing dominance in terms of industrial applications has helped polymerbased composite materials in conquering new markets relentlessly. But the presence of fibrous residuals and abrasive particles as reinforcement in polymer matrix composites (PMCs) affects the output quality characteristics (OQCs) of microdrilling operations. The OQC aims at reducing overcuts and momentous material removal rate (MRR). In such perception, multi-objective particle swarm optimization (MOPSO) evident to be a suitable optimization technique for prediction and process selection in manufacturing industries. The present paper focuses on multi-objective optimization of electrochemical discharge drilling parameters during drilling of SiC p and glass fiber-reinforced PMCs using MOPSO. The response surface methodology (RSM)-based central composite design was used for the experiment planning. Electrolyte concentration, interelectrode gap, duty factor, and voltage were used as process parameters, whereas MRR and overcut were observed as OQCs. The obtained experimental results were initially optimized by RSM-based desirability function and later with multiresponse optimization technique MOPSO to achieve best possible MRR with lower possible overcut. The comparative analysis proves that OQCs can be effectively improved by using MOPSO.

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Lightweight and electrically nonconductive fiber reinforced hybrid epoxy composites have gained attentiveness within specific applications such as marine, automotive and aerospace. However, the components made from these materials can be subjected to significant erosion when they are used in shipping industries and water sports equipment. The present paper proposes to address this challenge by analysing the erosion resistance of glass fiber and silicon carbide (SiC) reinforced epoxy composites. Taguchi's methodology was adopted for the experimentation using the L9 orthogonal array. Impingement angle, erodent type, and workpiece reinforcement were used as input process parameters, whereas erosion loss from the composite was perceived as a response parameter. Regression coefficients and equations for the erosion loss were derived from the regression analysis. The genetic algorithm (GA) was proposed to obtain authentication against Taguchi's methodology. The surface analysis of eroded composites and erodent particles was later evaluated by a Scanning Electron Microscope (SEM). The comparative outcomes achieved from GA and Taguchi's methodology indicates that the angle of impingement and reinforcement size are the primary aspects that affect the erosion resistance of the composite surface.