
One of the main factors that adversely affect surface quality, dimensional accuracy, and geometric precision during turning processes is workpiece’s deformation. The manufacturer's optimization of the cutting process is crucial. The goal of this work is to model and optimize workpiece’s deflection using statistical analysis. The tangential and radial cutting forces were observed as a function of the cutting parameters: cutting speed (Vc in m/min), advance (f in mm/rev), cutting depth (ap in mm), workpiece hardness (HB), and tool rake angle (An) using a numerical experimental plan (DOE) based on the Taguchi L32 table and the finite element analysis (FEA) tool (Third Wave AdvantEdge). For every test, the cantilever beam equation is used to determine the workpiece's deflection, which is then examined using the statistical approach based on the controllable parameters through cutting forces and the workpiece's overhang ratio (L/d). Prediction models have been found for the quantity of interest.
: machining precision, design of experiments, workpiece deflection, Taguchi, metal cutting simulation
: machining precision, design of experiments, workpiece deflection, Taguchi, metal cutting simulation
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