Power prediction model of circular saw blade sawing granite based on multivariate nonlinear regression analysis

Based on the experimental data of cutting granite with φ350 mm diamond circular saw blade, the prediction model of cutting power under the condition of cutting granite with diamond circular saw blade was established by means of multivariate non-linear regression analysis. The feasibility of the prediction model was verified by comparing the experimental data with the predicted data. The results show that the fitting effect of the model predicted by the multivariate non-linear regression analysis method is better. Compared with the experimental power, the average absolute relative error of the predicted power is only 2.17%. The main factor affecting the sawing power of circular saw blade is feed speed, followed by the comprehensive strength of diamond abrasive, and finally the sawing depth.