Cutting force prediction mathematical model of titanium alloy based on WOA-Kriging algorithm

XIANG Ying1, ZHANG Qi2
（1.Cultural Foundation Department, Changzhou Vocational Institute of Mechatronic Technology, Changzhou
213164, China; 2.School of Intelligent Manufacturing, Panzhihua University, Panzhihua 617000, China）

Abstract: Aiming at the difficult processing of titanium alloy and its quality and efficiency are not high, a Kriging model modeling method based on whale optimization algorithm was proposed. The variation function parameters of the traditional Kriging model to improve the modeling accuracy of the Kriging model was optimized, the mathematical model of parameter optimization was established to improve the machining quality and efficiency. Using the orthogonal experimental design method, the sample points of TC4 titanium alloy milling were collected, and 16 sample points including design varialles and preformance response were obtained. The approximate model of the processing parameters and the cutting force for titanium alloy was obtained based on the WOAKriging surrogate model, and was compared with the traditional Kriging surrogate model. The results show that the approximate model accuracy established by the Kriging model based on whales optimization algorithm is higher than the traditional Kriging surrogate model, which can provide more accurate mathematical model for its processing parameters optimization.
Key words: titanium alloy; processing parameters;surrogate model; whale optimization algorithm(WOA); numerical simulation