In determining elastic workpiece flexure in turning, two approaches are employed: (1) solving the equation of the elastic line in discrete workpiece segments, taking account of the accumulated modal energy due to the cutting forces, the mechanical properties, and the workpiece configuration; (2) using neural networks in developing a model for predicting the dimensional deviation of the workpiece, taking account of the cutting depth, which is calculated on the basis of the final diameter.
Simakov et al. (Thu,) studied this question.