Research on cutting force predictive model of Austempered Ductile Iron based on Particle Swarm Optimization algorithm

Compared with traditional linear regression algorithm, the Particle Swarm Optimization (PSO) has excellent performance: high precision, rapid convergence, operation and realization easily. This paper introduces the basic principle of PSO, and build the cutting force model of Austempered Ductile Iron with PSO. Results shows that: the mathematical model with PSO had higher predictive precision and stability than the linear regression algorithm and other optimization. PSO is practical in solving complicated prediction model and can avoid constraint of solution effectively. PSO can also be widely used in many aspects such as tool wear, heat in metal cutting with further improving.