Prediction of cutting force in circular diamond sawblades: A case study in granitic rocks

Circular diamond sawblades and diamond wire saw have extensive applications in the processing of natural stones. The cutting performance is affected by the rock properties, sawing characteristics and working conditions. So far, many researchers focused on modeling and estimating the sawing performance. Performance prediction of sawing machine have important role in the cost estimation. The aim of present study is to develop nonlinear models for estimating cutting force in circular diamond sawblades using Imperialist Commutative Algorithm (ICA) optimization techniques and compare the results obtained from literature models. For this purposes, the conducted tests on the granitic rocks were used in the case study and the proposed models based on those data have been evaluated. The peripheral speed, traverse speed, cut depth and flow rate of cooling fluid are used to predict the cutting force. According to the calculated statistical error between the forecasted and real measured values of cutting force, ICA-based model has the lowest values of MAPE, VARE, MEDAE and RMSE, while it has the highest value of VAF, in comparison to the other models.  It is concluded that this ACII-based model is superior to others.