An adaptive feedrate scheduling method with multi-constraints for five-axis machine tools

Abstract

Feedrate scheduling is crucial for the CNC machine tools to achieve high surface quality and machining efficiency. In this paper, an adaptive feedrate scheduling method is proposed to minimize the machining time for five-axis machining. First, a feedrate optimization model with constraints of chord error, maximum velocity, acceleration and jerk of five drive axes is presented. To guarantee machining stability in the process of manufacturing with high feedrate, the maximum tangential feedrate, acceleration and jerk are also considered. Then, the chord error and acceleration constraints are transferred to linear inequalities by discretizing the tool path. Meanwhile, the jerk constraints are simplified with conservative linear constraints. Finally, the feedrate scheduling problem is transferred to a line-ar programming problem, which can be solved efficiently. Simulation and experiments are conducted to verify the feasibility and efficiency of the proposed method.