Overall Impeller Numerical Control Machining Technology Based on SA-PSO Hybrid Algorithm

This paper is based on NURBS curve surface modelling and aims to reduce surface undercuts and overcut errors. It deeply studies tool path planning for non-developable ruled surfaces. A strategy based on the SA-PSO (Simulated Annealing Particle Swarm Optimization) is proposed to approximate the tool enveloping surface to the non-developable ruled surface. This process is transformed into a particle optimization process using MATLAB, which reduces the complexity of the computation compared to traditional algorithms, improves computational efficiency, and reduces machining errors. Through simulation and experimental machining, the SA-PSO hybrid algorithm is compared with the PSO algorithm, resulting in a 14.7% reduction in machining errors compared to the single Particle Swarm Optimization algorithm.