Fuzzy modeling and prediction of cylindricity error in BTA deep hole boring process

In this paper, first order Sugeno models are proposed to model the relationship between the different cutting parameters and the resulting cylindricity error. This gives the machine operator the opportunity to predict cylindricity for a given set of cutting parameters. Hence, the best parameters can be picked to achieve the best cylindricity. A second model shows that the cutting parameters should vary while drilling in order to reduce the whirling mode. As the amplitude of whirling is reduced, this leads to better cylindricity.