Transactions of the Canadian Society for Mechanical Engineering · 2017 · 13 citations · 0 references
EngineeringAerospace EngineeringManufacturing EngineeringAerospace MaterialsManufacturing ProcessesMaterials ProcessingCnc MachiningComposite MaterialsComposites ManufacturingMachiningMaterial PerformanceResponse Surface MethodologyBox-behnken DesignsCnc MillingDesirability FunctionsHigh-speed MillingMilling Process ModelingMilling ProcessesMilling TechnologySurface Roughness Optimization
This research paper carries out analyses to suggest a scientific model for machining of BSL 168-Aluminium composites by optimization of input parameters of CNC high-speed milling using Box Behnken based response surface method. A design of experiment (DOE) based Box Behnken array of experiments for 4 factors with 3 variations of 34 variations is developed and tested to find the responses. The received responses are developed into a mathematical model. The significance of the individual parameter is ascertained using desirability functions and confirmatory runs. The derived optimized set minimizes the surface roughness to a value of less than 2 microns and with 37% extra material removal rate and best in class geometrical quality.