Traces of Similarity and Consistency of Data in the Choices of Specific Cutting Energy Models for Predicting Cutting Force in Metal Cutting by Machining Processes

The specific cutting energy is of significant interest in predictive performance evaluation in metal cutting, as it aids in estimating the main cutting force. Several models and methods have been proposed for estimating the specific cutting energy, with some suggested models under-predicting, some over-predicting, for a given set of defined cutting conditions. This paper presents some applicable methods and reported supporting data for computational predictive evaluation during metal cutting, with validations on actual representative metal cutting data. Evidence shows that each proposed model can predict the main cutting force through simulated variation of the cutting conditions.