Analytical-method for polishing-surface prediction considering tool flexibility and grain-material interaction

To improve surface roughness of components without altering geometrical dimensions, polishing operations are commonly used. These may be time-consuming and expensive. Thus, the prediction polished quality is a key issue to reduce cost these operations. Resulting outcome large number local cutting phenomena (grains-material). The control multi-scale physical challenge when it comes simulate In this paper, an Analytical-Method for Polishing-Surface Prediction (AMPSP) that considers tool flexibility each grain-material interaction proposed. objective predict accurately topography material removal rate, keep history all phenomena, in order define digital twin operation. Experimental validation demonstrates AMPSP predicts rate (less than 35 % error) topology few percent). will enable engineers quickly obtained with 5-axis toolpaths.