Optimizing the input parameters setting for least hole defects while drilling CFRP laminates by multi-objective optimization on the basis of ratio analysis (MOORA) method

Abstract

Carbon fiber reinforced plastic laminates have been kept under the category of hard-to-machine materials despite having some unmatchable properties like high strength, stiffness, corrosion resistance, etc. The heterogeneous nature of the material makes the essential secondary machining process a challenging task to perform. Drilling is always considered the effective way to drill holes necessary for the assembling purpose in structure building. Though, drilling the CFRP laminates critically affected by the abrasiveness of the reinforcing fibers eventually produces various defects. In this particular experimental analysis, a decision-making model associated with the Multi-objective optimization of ratio analysis (MOORA) method has been used in selecting the best possible parameter setting for minimizing defects. The results suggested that this method is found to be effective in solving the real-world problem of selecting the optimized parameter setting in drilling CFRPs. The best possible combination of low point angle, high speed, and low feed rate produces the least drilled hole defects.