Assessment of surface roughness model for turning process

Abstract

The quality surface of an engineering component plays an important role in its performance. This research focuses on developing an empirical model for prediction of surface roughness in finish turning. The model considers the following working parameters: feed, depth of cut, and spindle speed. Nonlinear regression analysis, with logarithmic data transformation is applied in developing the empirical model. Metal cutting experiments and statistical tests demonstrate that the model developed in this research produces smaller errors and has a satisfactory result. © 2006 International Federation for Information Processing.