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Prediction of Dry Sliding Wear Response of AlMg1SiCu/Silicon Carbide/Molybdenum Disulphide Hybrid Composites Using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Response Surface Methodology (RSM)

Materials ScienceEngineeringWear TestingResponse Surface MethodologyMechanical EngineeringSliding WearWear ResponseWear ModellingWear-resistant MaterialMechanics Of MaterialsWear Resistance