Probabilistic prediction of cutting and ploughing forces using extended kienzle force model in orthogonal turning process

Probabilistic prediction of cutting and ploughing forces is performed by applying Bayesian inference to an extended Kienzle force model. Prior probabilities are established and posterior force predictions are completed. The results of the probabilistic force predictions are then verified using forces measured under other cutting conditions, as well as a simplified slip-line force model. Additionally, probabilistic simulation results are compared with the results of a non-linear least squares fitting technique to isolate the shearing and ploughing force components of the cutting force.